Category Archives: Cloud Computing
Oracle expands Spanish cloud offerings with $1 billion investment – ITPro
Oracle has announced plans to open its third cloud region in Spain as part of a $1 billion investment scheme.
The new public cloud region is targeted at all industries in Spain, but in particular its prominent financial services sector.
Customers will be able to migrate mission-critical workloads from their data centers to Oracle Cloud Infrastructure (OCI) while conforming to regulations such as the Digital Operational Resilience Act (DORA) and the European Outsourcing Guidelines - EBA, EIOPA and ESMA.
Telefonica Espaa will be the host partner, Oracle confirmed.
"It is great news that major technology multinationals such as Oracle are announcing this level of investment in the Region of Madrid, said Miguel Lpez-Valverde, councilor for digitalization, Government of the Region of Madrid.
"Over the next three years, the region of Madrid is expected to receive investments of more than six billion Euros from the cloud industry, which is critical to helping us build a digital economy capable of creating high-quality jobs, attracting investment, and retaining talent."
Oracle already operates a separate EU Sovereign Cloud with a region in Madrid, to help public and private sector customers with data and applications that are sensitive, regulated, or of strategic regional importance, move to the cloud.
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This is operated by EU-based personnel and supports workloads that fall under EU guidelines and requirements for sovereignty and data privacy.
"Spanish enterprises and public sector organizations are rapidly embracing the cloud to gain access to the latest digital technologies such as AI, and the upcoming public cloud in Madrid will help them address data residency requirements as well as regulations in key sectors such as financial services," said Albert Triola, country leader, Oracle Spain.
"With our plans to invest an additional $1 billion in Spain over the next ten years, we are reaffirming our commitment to helping Spanish organizations of all sizes and industries including those across Spains small and medium-sized enterprises and the financial services industry accelerate their adoption of cloud technologies to boost business performance and resilience."
The new Madrid region will offer additional low-latency access to cloud services, along with high availability and disaster recovery capabilities, the firm said
And, targeting the financial services industry, Oracle said it can help customers to evaluate OCI in the context of their regulatory outsourcing guidance.
"We rely on Oracle to migrate our critical workloads to Oracle Cloud Infrastructure while complying with local regulatory requirements. OCI provides us with a robust and secure cloud infrastructure," said Enrque Rodrguez, director of technology services at Banco Sabadell.
"The arrival of the third Oracle Cloud Region in Spain will open significant opportunities for us in terms of utilizing new technologies such as AI across different areas of our business."
The announcement from Oracle follows a raft of similar moves by other major cloud providers in Spain in recent months.
Microsoft recently confirmed plans to invest $2.1 billion in AI and cloud infrastructure in the country by the end of next year, with one region located in Madrid.
Similarly, AWS revealed plans to invest 15.7 billion in Spain to beef up cloud and AI infrastructure.
A common recurring theme in these investment plans has been access to renewable energy sources. AWS' expansion in the country also included investment in 12 renewable energy projects.
In February 2024, Cisco confirmed it had signed a 15-year commitment with Spanish renewable energy provider, IGNIS,to construct a new solar energy plant in the Aragon province to support its European operations and meet sustainability targets.
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Oracle expands Spanish cloud offerings with $1 billion investment - ITPro
Huawei Consumer Cloud Services and Malaysia Airlines partner to expand the Chinese outbound Travel market … – ETCIO South East Asia
Huawei Consumer Cloud Services and Malaysia Airlines have decided to enter a strategic partnership in penetrating Chinese Outbound Travel market. This highly anticipated collaboration was officially announced during the signing ceremony at Huawei's 2024 Developer Conference. This historic moment was held at the Huawei Developer Conference 2024, adding a highlight to the over 100 exciting events.
Through Huawei Consumer Cloud Services' advertising platform, Malaysia Airlines will achieve comprehensive digitisation of its aviation services. Through data-driven personalised recommendations and precise advertising placements, it will achieve deeply customised marketing effects. This will allow Malaysia Airlines to not only gain insights into travelers' needs but also grasp market trends, truly embodying a customer-centric service philosophy. The comfortable start to a journey is precisely where Huawei Consumer Cloud Services, as part of the 1+8+N all-scenario ecosystem and media marketing capability, provides advertising marketing and traffic monetization services for advertisers and traffic alliances.
Mr. Ahmad Luqman Mohd Azmi, Chief Executive Officer of Malaysia Aviation Group (MAG), said, "We are delighted to join forces with Huawei by leveraging their digital capabilities to expand our reach within the APAC region. This strategic partnership aims to elevate our efforts in customer engagement by providing highly personalized experiences and innovative solutions tailored to meet the unique needs of the market. We look forward to exploring new avenues and opportunities that will solidify the Malaysia Airlines position in the region and extend our influence globally as the gateway to Asia and beyond."
This remarkable collaboration not only showcases the profound cooperation between Huawei Consumer Cloud Services and Malaysia Airlines but also brings a novel aviation travel experience for consumers. In the future, Huawei and Malaysia Airlines will continue to explore and innovate, striving for the development of the global tourism market together. Everything centered around customers, and with continual technological innovation, sincerity, passion, and diligence, they present a broader blue sky to the world.
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Huawei Consumer Cloud Services and Malaysia Airlines partner to expand the Chinese outbound Travel market ... - ETCIO South East Asia
From the perimeter to SASE: The evolution of network security – SC Media
Network security has changed drastically in the last 10 years. Gone is the old perimeter-based defense model. The rapid expansion of cloud computing and the explosion of remote work that accompanied the COVID-19 pandemic have led to the adoption of two complementary but different models of network security: zero trust and secure access service edge (SASE).
Once upon a time, an organization's networks had a physical limit. When you got to the office and booted your PC, you were on the network. If you left the office, you could no longer reach the network.
Network security was correspondingly simple.
"All you needed was the edge perimeter firewall, and that was your network security because everything was just a flat network," says Julian Mihai, CISO at Penn Medicine in Philadelphia.
That started changing around 2000 with the deployment of enterprise VPNs and home broadband internet access. But even then, when a worker logged in from home using a VPN, the organizational network still had an "inside" and an "outside," and the VPN provided access to the "inside." Once "inside," a worker often had unrestricted access to most of the network.
That's not the case today. In the zero-trust and SASE models, the network is everywhere, almost every organization has assets in the cloud, and anyone or anything can join the network with the right credentials.
"You need to think of security holistically," says Aviv Abramovich, head of security services product management at Check Point. "Your network actually extends to the employee that sits at home in their slippers, reading their email on their bring-your-own-computer connected to their personal Wi-Fi router at home."
Two other factors affecting modern network security have been the proliferation of powerful, modern smartphones and the parallel development of "smart" TV sets, voice assistants and other appliances.
The ubiquity of smartphones means that tens of millions of pocket-sized, privately owned and managed personal computers join enterprise networks every workday. Network-security staffers must secure and sanitize inputs from these devices, a task made easier by zero-trust models that assume every device is potentially hostile.
The addition of a smart TV, smart refrigerator, or rogue embedded device to the workplace network (or even connecting remotely) creates another avenue of attack which can likewise be mitigated by zero trust.
The zero-trust model uses identity rather than location relative to the perimeter to grant access. More importantly, the zero-trust model does not give users free range through the network.
Instead, users must authenticate themselves when accessing new areas and resources, even if they have already logged in. The zero-trust model also works well for legacy, on-premises networks.
"The fact that I trusted you two minutes ago doesn't mean I trust you now," Abramovich says. "Maybe you, in those two minutes, managed to get malware on your laptop, or wherever you're accessing, and now I have to take that trust away."
Zero trust began to gain ground after 2010. Thats when Google implemented, then evangelized, its BeyondCorp zero-trust model and Forrester Research published a now-famous paper called "No More Chewy Centers: Introducing the Zero Trust Model of Information Security."
But zero trust in practice really took off in early 2020 when the COVID-19 pandemic suddenly created hundreds of millions of remote workers around the globe.
"[COVID] definitely accelerated something that already started before: the need to work from my phone, work from my computer, work from home, work from a cafe, work when I travel, and so on," says Abramovich.
A corollary to zero trust is the principle of least privilege, which states that no user should be granted more system permissions or privileges than necessary to carry out an assigned role.
"The reality is you're going to have a threat actor on a trusted asset on your network," says Mihai. "Without having the zero-trust approach, on the network, on the applications, you're not going to be able to contain that threat effectively."
Zero trust also resolves some of the issues associated with cloud computing, which removed assets and workloads from the safe cocoon of perimeter defenses. Because the zero-trust model is centered around identity rather than geography, it makes it easier to protect cloud assets that could physically be anywhere.
Secure access service edge (SASE) and its sibling, security service edge (SSE), are more specialized in their use cases than zero trust.
The best use case for SASE is a large organization with many offices spread across a wide area. Instead of trying to replicate a perimeter-based network with hard-wired or VPN connections between branch offices and the central headquarters, SASE creates a software-defined wide area network (SD-WAN) that can be governed from the cloud.
SASE extends network protections to regionally dispersed points of presence (POPs), to which users can connect locally instead of to a far-off data center. Because the network is cloud- and software-based, it doesnt need to "be" anywhere, which means it can also reach employees working at home.
To protect this virtual network, SASE employs a cloud-based firewall, aka a firewall-as-a-service (FWaaS) to enforce company network policies; a secure web gateway (SWG) to monitor user web traffic and block malware; and zero-trust network access (ZTNA), which applies zero-trust principles to all access requests.
Most SASE implementations include a cloud-access security broker (CASB) to monitor and control traffic to cloud applications and instances.
"There are customers that secured [their] cloud and they are not using SASE," says Abramovich. "SASE is more of an architecture where you have SD-WAN on the branch and firewall as a service in the cloud."
Some SASE and SSE setups add data-loss-prevention (DLP) systems, domain-name-system-layer (DNS-layer) security or intrusion-prevention or intrusion-detection systems (IPS/IDS). Alternatively, the FWaaS or SWG may provide some or all those protections.
SASE was first defined in a Gartner white paper in 2019. Two years later, Gartner acknowledged that many organizations without branch offices, or without any offices at all, had no use for SD-WAN. It came up with SSE, which preserves the FWaaS, SWG, CASB and PoP components of SASE and lets ZTNA handle the secure network connection.
Network security in the cloud requires "cloud-native" security tools that can follow each asset, each set of data and each user and create protections around them individually. This software, and its associated techniques, may not be familiar to security practitioners accustomed to on-premises networks.
In addition to CASB and ZTNA, these tools include cloud security-posture management (CSPM), a cloud workload protection platform (CWPP) and the more encompassing cloud-native application protection platform (CNAPP).
Naturally, licensing and implementing these cloud-native tools, and training your staff to run them, is expensive. Some organizations may need to expand their security staff to keep up with the expansion of their cloud assets.
However, the old ways also still apply, and you shouldn't throw out those legacy network-security tools just yet.
In a recent survey of 202 IT and security managers and decision-makers conducted by CyberRisk Alliance, 96% of respondents said their organizations had at least some workloads in the cloud.
But only 16% of respondents said that more than three-quarters of their workloads were cloud-based, meaning that almost all respondents were running networks that were hybrids of cloud and legacy elements. "The vast majority [of organizations] have traditional networks [that] are being augmented by cloud and other types of new technologies," says Abramovich. "Perimeter defense is still very relevant for all of those organizations."
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From the perimeter to SASE: The evolution of network security - SC Media
AWS re:Inforce: Security Culture is a Top Priority – MSSP Alert
What MSSP customer does not operate part or all of its services in the public cloud? As cloud computing has become as important as networking for overall IT infrastructure, cloud security has also become a top priority for all companies from enterprises to small businesses.
Speaking at the AWS re:Inforce conference in Philadelphia recently, AWS CISO Chris Betz said it takes a dedicated effort to grow, evolve and maintain a culture focused on security as a top priority.
As Dan Raywood, senior editor at our sister site SC Magazine UK, reported, Betz said there is a culture across AWS, led by CEO Matt Garman, where security leaders are able to meet with individual service teams to discuss important security issues.
That same dedication to a culture of security is important for all service providers, particulary MSSPs and MSPs, especially as they become the front lines of the battle against an evolving cybersecurity threat landscape.
As Raymond reported, Betz went on to say that culture is at the root of developing new habits within an organization to prioritize security. It's culture that drives us to design systems that are secure by design - not bolting it on after - and it's a culture that teaches us to empower the individuals and operate the business in a way allowing us to remain agile while distributing security throughout the organization, he said.
Betz said that culture doesn't happen overnight, can take constant investment and begins with a single motivated individual.He later said that upon joining AWS, it was clear that security was the top priority, and in how processes and mechanisms were developed, and the thoughtfulness and maturity at AWS was next level.
To that end, also at re:Inforce, AWS announced its intention to push multi-factor authentication (MFA) out to users, withsupportadded for FIDO2 passkeys.
Intended to help customers align with their MFA requirements and enhance their default security posture,this additionwill help users - who already use passkeys on billions of computers and mobile devices, using only a security mechanism such as a fingerprint, facial scan, or PIN built in to their device.
Speaking to SC UK, Mark Ryland, director of Amazon Security says the intention is to provide a somewhat more user-friendly convenient form factor for users.
Finally, Raymond reported, in anannouncementmade June 11 at the re:Inforce conference in Philadelphia, AWS said as it expands its MFA capabilities, this support for FIDO2 passkeys as an MFA method is launched to help customers align with their MFA requirements and enhance their default security posture, Arynn Crow, senior manager of user authentication products for AWS Identity, said.
Acknowledging that customers already use passkeys on billions of computers and mobile devices across the globe, using only a security mechanism such as a fingerprint, facial scan, or PIN built in to their device, Crow said that same passkey can be used as your MFA method as you sign in to the AWS console across multiple devices.
Specifically, apasskeyis a pair of cryptographic keys generated on your client device when you register for a service or a website. The key pair is bound to the web service domain and unique for each one.
Rather than replacing the password, the passkey adds a second factor authentication, to provide something you have in addition to something you know.
AWS customers can now use the built-in authenticators on their phones and laptops to add cryptographically phishing-resistant credentials to their side of the experience, Betz said.
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AWS re:Inforce: Security Culture is a Top Priority - MSSP Alert
Oracle to invest over $1B in Spain fo… – Mobile World Live
Oracle pledged to spend more than $1 billion in Spain over the next ten years, as it looks to keep pace with increased demand for AI and cloud computing services.
The investment plan includes funding for a third cloud region in Madrid to aid customers moving mission-critical workloads from their data centres toOracle Cloud Infrastructure.
It will also help financial services and industry customers address regulations such as the European Unions Digital Operational Resilience Act and European Outsourcing Guidelines.
Oracle will partner with Telefonica Espana on the planned cloud region.
Albert Triola, country leader, Oracle Spain, stated his company is reaffirming our commitment to helping Spanish organisations of all sizes and industries to accelerate their adoption of cloud technologies to boost business performance and resilience.
In May, Amazon Web Services announced it would spend 15.7 billion to expand its data centre footprint in Spain.
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Oracle to invest over $1B in Spain fo... - Mobile World Live
Hewlett Packard Enterprise and NVIDIA Announce ‘NVIDIA AI Computing by HPE’ to Accelerate Generative AI … – NVIDIA Blog
New Lineup Features First-of-Its-Kind Turnkey, Private-Cloud AI Solution Including Sustainable Accelerated Computing with Full Lifecycle Services to Streamline Time to Value with AI
HPE Discover 2024Hewlett Packard Enterprise (NYSE: HPE) and NVIDIA today announcedNVIDIA AI Computing by HPE, a portfolio of co-developed AI solutions and joint go-to-market integrations that enable enterprises to accelerate adoption of generative AI.
Among the portfolios key offerings isHPE Private Cloud AI, a first-of-its-kind solution that provides the deepest integration to date of NVIDIA AI computing, networking and software with HPEs AI storage, compute and the HPE GreenLake cloud. The offering enables enterprises of every size to gain an energy-efficient, fast and flexible path for sustainably developing and deploying generative AI applications. Powered by the new OpsRamp AI copilot that helps IT operations improve workload and IT efficiency, HPE Private Cloud AI includes a self-service cloud experience with full lifecycle management and is available in four right-sized configurations to support a broad range of AI workloads and use cases.
All NVIDIA AI Computing by HPE offerings and services will be available through a joint go-to-market strategy that spans sales teams and channel partners, training and a global network of system integrators including Deloitte, HCLTech, Infosys, TCS and Wipro that can help enterprises across a variety of industries run complex AI workloads.
Announced during the HPE Discover keynote by HPE President and CEO Antonio Neri, who was joined by NVIDIA founder and CEO Jensen Huang, NVIDIA AI Computing by HPE marks the expansion of a decades-long partnership and reflects the substantial commitment of time and resources from each company.
Generative AI holds immense potential for enterprise transformation, but the complexities of fragmented AI technology contain too many risks and barriers that hamper large-scale enterprise adoption and can jeopardize a companys most valuable asset its proprietary data, said Neri. To unleash the immense potential of generative AI in the enterprise, HPE and NVIDIA co-developed a turnkey private cloud for AI that will enable enterprises to focus their resources on developing new AI use cases that can boost productivity and unlock new revenue streams.
Generative AI and accelerated computing are fueling a fundamental transformation as every industry races to join the industrial revolution, said Huang. Never before have NVIDIA and HPE integrated our technologies so deeply combining the entire NVIDIA AI computing stack along with HPEs private cloud technology to equip enterprise clients and AI professionals with the most advanced computing infrastructure and services to expand the frontier of AI.
HPE and NVIDIA co-developed Private Cloud AI portfolio
HPE Private Cloud AI delivers a unique, cloud-based experience to accelerate innovation and return on investment while managing enterprise risk from AI. The solution offers:
Support for inference, fine-tuning and RAG AI workloads that utilize proprietary data.
Enterprise control for data privacy, security, transparency and governance requirements.
Cloud experience with ITOps and AIOps capabilities to increase productivity.
Fast path to consume flexibly to meet future AI opportunities and growth.
Curated AI and data software stack in HPE Private Cloud AI
The foundation of the AI and data software stack starts with theNVIDIA AI Enterprise software platform, which includesNVIDIA NIM inference microservices.
NVIDIA AI Enterprise accelerates data science pipelines and streamlines development and deployment of production-grade copilots and other GenAI applications. Included with NVIDIA AI Enterprise, NVIDIA NIM delivers easy-to-use microservices for optimized AI model inferencing offering a smooth transition from prototype to secure deployment of AI models in a variety of use cases.
Complementing NVIDIA AI Enterprise and NVIDIA NIM, HPE AI Essentials software delivers a ready to run set of curated AI and data foundation tools with a unified control plane that provide adaptable solutions, ongoing enterprise support and trusted AI services, such as data and model compliance and extensible features that ensure AI pipelines are in compliance, explainable and reproducible throughout the AI lifecycle.
To deliver optimal performance for the AI and data software stack, HPE Private Cloud AI delivers a fully integrated AI infrastructure stack that includesNVIDIA Spectrum-X Ethernet networking, HPE GreenLake for File Storage and HPE ProLiant servers with support forNVIDIA L40S,NVIDIA H100 NVL Tensor Core GPUs and theNVIDIA GH200 NVL2 platform.
Cloud experience enabled by HPE GreenLake cloud
HPE Private Cloud AI offers a self-service cloud experience enabled by HPE GreenLake cloud. Through a single, platform-based control plane, HPE Greenlake cloud services provide manageability and observability to automate, orchestrate and manage endpoints, workloads and data across hybrid environments. This includes sustainability metrics for workloads and endpoints.
HPE GreenLake cloud and OpsRamp AI infrastructure observability and copilot assistant
OpsRamp's IT operations are integrated with HPE GreenLake cloud to deliver observability and AIOps to all HPE products and services. OpsRamp now provides observability for the end-to-end NVIDIA accelerated computing stack, including NVIDIA NIM and AI software, NVIDIA Tensor Core GPUs and AI clusters as well as NVIDIA Quantum InfiniBand and NVIDIA Spectrum Ethernet switches. IT administrators can gain insights to identify anomalies and monitor their AI infrastructure and workloads across hybrid, multi-cloud environments.
The new OpsRamp operations copilot utilizes NVIDIAs accelerated computing platform to analyze large datasets for insights with a conversational assistant, boosting productivity for operations management. OpsRamp will also integrate with CrowdStrike APIs so customers can see a unified service map view of endpoint security across their entire infrastructure and applications.
Accelerate time to value with AI expanded collaboration with global system integrators
To advance the time to value for enterprises to develop industry-focused AI solutions and use cases with clear business benefits,Deloitte, HCLTech, Infosys, TCS and Wipro announced their support of the NVIDIA AI Computing by HPE portfolio and HPE Private Cloud AI as part of their strategic AI solutions and services.
HPE adds support for NVIDIAs latest GPUs, CPUs and Superchips
High-density file storage certified for NVIDIA DGX BasePOD and NVIDIA OVX systems
HPE GreenLake for File Storage has achieved NVIDIA DGX BasePOD certification and NVIDIA OVX storage validation, providing customers with a proven enterprise file storage solution for accelerating AI, GenAI and GPU-intensive workloads at scale. HPE will be a time-to-market partner on upcoming NVIDIA reference architecture storage certification programs.
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Hewlett Packard Enterprise and NVIDIA Announce 'NVIDIA AI Computing by HPE' to Accelerate Generative AI ... - NVIDIA Blog
USAID and Amazon Web Services Announce TALENTA Accelerator 2024 Program – PR Newswire APAC – PR Newswire Asia
JAKARTA, Indonesia, June 24, 2024 /PRNewswire/ -- Today the United States Agency for International Development (USAID), leading cloud services provider Amazon Web Services (AWS), and IT managed services provider Elitery announced the launch of the TALENTA Accelerator Program for 2024. This U.S. led initiative in Indonesia supports early-stage technology start-ups in education, health, agribusiness, governance, and smart cities by providing essential resources that help these start-ups access venture capital and create significant socio-economic impact.
Hazna Rochani of @america; moderator Anton Pradhana; Holy Sie of MomWork; Brian Chang of USAID; Ahmad Gilang, President Director Elite Academy; Kurniawan Wiraatmadja, Senior Partner Account Manager AWS pose on stage.
Indonesia has seen a rapid rise in the number of people connected to the internet and utilizing digital platforms. New digital platforms are increasingly transforming the economic and social lives of Indonesians. This innovative initiative prepares small and medium enterprises to face the increasing pace of digitalization. By helping new businesses address the challenges of digital transformation,TALENTA Accelerator 2024 is contributing to a strong foundation for advancing Indonesia's digital economy.
"The United States recognizes the importance of bringing together the resources and expertise of businesses like Amazon Web Services with our government initiatives to support Indonesian-American business growth," said Brian Chang, Deputy Director of the Acquisition and Assistance Office at USAID Indonesia. "By working together with the private sector, we can maximize the impact of our program for Indonesia's entrepreneurs."
The launch event was attended by 35 selected start-ups from the health, agribusiness, and education sectors. TALENTA Accelerator alum Holy Sie of MomWork, a start-up that assists mothers to open cloud-based food service businesses, told the participants, "TALENTA Accelerator helped me to focus and sharpened my business strategy and direction. With a clearer focus, I can allocate resources and time more efficiently, which in turn, has aided the growth of my business."
TALENTA Accelerator 2024 will empower the participants to enhance their innovation and competitiveness through access to leading AWS cloud technology and guidance from industry leaders. The program combines interactive online and face-to-face meetings, featuring accelerator classes, workshops, and coaching sessions. It is designed to sharpen the start-ups' abilities to present their business models to investors and venture capitalists, secure funding, and create strategic partnerships.
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USAID and Amazon Web Services Announce TALENTA Accelerator 2024 Program - PR Newswire APAC - PR Newswire Asia
The Rise of High Performance Computing in Asia – Telecom Review Asia
The rapid advancement and widespread adoption of artificial intelligence (AI) has expanded the limits of research and discovery, resulting in the establishment of systems and functions that have become part of our daily lives.
It is predicted that global high performance computing (HPC) market revenues are likely to experience considerable growth in 2023, amounting to more than USD 35 billion. By 2026, HPC market revenues worldwide are forecast to rise to USD 40 billion.
In Asia, the adoption and development of HPC has been constantly growing due to the region's fast economic growth, significant investments in research and development (R&D), and the growing demand for enhanced computational capabilities.
Understanding High Performance Computing
HPC is a combination of computing resources designed to achieve performance levels that surpass what can be done by a single workstation, server, or computer. This may appear as either specialized supercomputers or as collectives of individual computers operating in harmony. HPC systems can be implemented either on-site, via a cloud-based infrastructure, or through a hybrid model that integrates both environments.
Every individual machine within an HPC cluster, known as a node, carries out distinct tasks as part of the total calculation. These nodes are classified into controller nodes, responsible for managing crucial services and coordinating tasks amongst nodes; interactive or login nodes, where users access the system; and compute or worker nodes, which carry out the computations. HPC systems can efficiently handle activities that are either too massive or time-consuming for ordinary computers by executing algorithms and software updates simultaneously across multiple nodes.
The essential components of HPC systems include computing, storage, and networking. Computing includes processing units responsible for doing calculations, storage involves the data servers that capture the output, and networking facilitates the efficient exchange of results between these processing units. To ensure efficiency in HPC systems, it is essential to have high speed disks, fast memory, and low-latency, high-bandwidth networking. These components are crucial for managing the complexity and scale of HPC projects effectively.
Also Read: Empowering Smart Cities in Asia with EdgeComputing
Adopting HPC in Asia
The bustling economy of Asia creates a favorable environment for the implementation of HPC. Countries in Asia are among the frontrunners in utilizing HPC systems to enhance their scientific research, industrial production, and technological innovation.
In 2022, OneAsia introduced Hong Kongs pioneer HPC solution, OAsis. It was expected to transform data processing and simulation in the country, thereby facilitating progress in academic research and industry innovation. It was also established to boost Hong Kong's position as a global hub for cutting-edge technology but also corresponds with wider national and regional technical objectives.
In the same year, the National Development and Reform Commission of China (NDRC) announced its plan to build eight national computing hubs and ten national data-center clusters in the country, including the establishment of a hub in the Greater Bay Area (GBA).
Meanwhile, South Korea has taken the initiative to bridge the technological gap with global leaders by pursuing the development of an exceptionally powerful supercomputer specifically designed for industrial applications.
Telecom Review Asia Feature: Exploring Infinite Possibilities with QuantumComputing
South Korea, ranked as the fourth-largest economy in Asia, has historically been a center of technological advancement. In 2023, the Ministry of Science and ICT unveiled a national strategy to boost HPC capabilities, which includes improving supercomputers and exploring quantum computing, recognizing the significance of HPC as an essential infrastructure in todays digital landscape.
Reports indicate that South Korea plans to develop its seventh supercomputer in 2025, which will have an exaflop of performance, meaning it will be able to perform at least one quintillion floating-point operations per second.
High-performance computing (HPC) is on the rise in Asia, driven by increasing cyberthreat levels and the need for enhanced technological capabilities. Vietnam leads Southeast Asia in cyberthreats, prompting initiatives like the National Supercomputing Centre (NSCC) to adopt advanced technologies to secure its HPC systems and networks.
In Malaysia, Petronas Digital partnered with Microsoft and Cegal to build the Microsoft Azure HPC AI infrastructure platform, optimizing operational efficiency in Petronas Upstreams applications.
Moreover, according to Tan Tin Wee, Chief Executive, National Supercomputing Centre (NSCC), Singapores A*STARs Institute of High-Performance Computing (IHPC) supports over 300 researchers who actively engage in scientific simulations, gather data analytics, and conduct AI research.
Singapore also hosts the annual Supercomputing Asia conference (SCA23), collaborating with Australia, Japan, and Thailand, and has inaugurated the Alliance of Supercomputing Centres (ASC) to foster resource sharing.
Additionally, Huawei's CloudFabric 3.0 Hyper-Converged DCN solution maximizes computing power with lossless ethernet, further advancing HPC capabilities in the region.
Read More: UNICOM Engineering BoostsComputingPower in Collaboration with Intel and Dell
Closing Note
Despite its advantages in advancing industries in the region, substantial obstacles remain, which need to be resolved in order to fully realize HPCs potential. A significant obstacle is the prevalence of high expenses related to infrastructure, including hardware, software, and maintenance, which can be seen in smaller academic institutions and companies.
To counteract this, the government and business sectors could collaborate to explore cost-efficient solutions, such as cloud-based HPC services, to improve accessibility. In addition, the lack of a skilled workforce with expertise in parallel programming and data processing is hindering the use of HPC. Furthermore, data privacy and security concerns in industries such as healthcare also require strong cybersecurity measures and adherence to regulations to safeguard sensitive information.
HPC can be an effective tool that can accelerate scientific, technical, and business advancement. Its ability to facilitate the efficient analysis of large datasets allows organizations to address intricate challenges and shape a more defined future. With the ongoing advancement of technology, the significance of HPC will likely increase, marking its position as a fundamental element of modern technology.
Telecom Review Asia Analysis: AI,HPC, and Quantum Technologies Poised to Boost Innovation
Read More: SoftBank Corp. Launches Top-level Generative AIComputingPlatform
In-Depth Market Insights: Cloud and EdgeComputingTransforming Industries in Asia Pacific
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The Rise of High Performance Computing in Asia - Telecom Review Asia
Amazon Mid-2024: Earnings, Overview – Practical Ecommerce
Amid the hoopla surrounding next months Prime Day, its worth remembering the marginal impact of that event on Amazons overall financial performance. Measured by bottom-line profit, Amazon in 2024 is mostly a cloud computing company.
Yet millions of merchants and consumers rely on Amazons marketplace. What follows is our analysis of the companys overall financial performance and its plans for shoppers, sellers, logistics, and more.
Assessing Amazons financials requires a bit of scrutiny. The company, famously opaque for what it discloses (and doesnt disclose), operates three components.
The first is physical and digital goods that it carries as inventory and sells directly to consumers either online or through its outlets such as Whole Foods Markets. Amazon calls this component Product sales.
Next is what the company calls Service sales. It consists of commissions from its massive marketplace and related fulfillment, shipping, and advertising revenue. Grouped into Service sales are Prime membership fees and, notably, fees to Amazon Web Services, its monster cloud-computing division.
For purposes of this article, however, AWS is a separate component given its size and profitability.
All told, the three components generated $143.3 billion in Q1 2024 revenue, a 13% increase from the first quarter a year earlier.
Operating income for Q1 2024 reached $15.3 billion, much higher than the $4.8 billion a year earlier.
Big-picture takeaways are this.
According to Marketplace Pulse, Amazon pockets more than 50% of marketplace seller revenue, up from 40% five years ago. A typical Amazon seller, per Marketplace Pulse, pays a 15% transaction fee, 20-35% in Fulfillment by Amazon fees, and up to 15% for advertising and promotions on Amazon. The total fees vary depending on the category, product price, size, weight, and the sellers business model.
Amazon delivers to Prime members faster than ever, with more than 2 billion global packages arriving the same or next day in the first quarter. In March, across the top 60 largest U.S. metro areas, nearly 60% of Prime member orders arrived the same or the next day, and in London, Tokyo, and Toronto, three out of four items were delivered the same or the next day.
Whole Foods and Amazon Fresh now offer a grocery subscription service with unlimited delivery on orders over $35. The program is available to Prime members in more than 3,500 U.S. cities, as well as customers using an Electronic Benefits Transfer card, i.e., those using government benefits.
Amazon continued rolling out Rufus, its generative artificial intelligence shopping assistant, to millions of U.S. customers. The bot, still in beta, can answer shopping-related questions, compare and recommend products, and more. Amazon said it improved Rufuss accuracy and response speed and added features, including My Orders, which answers questions such as when did I last order coffee? and what dog treats did I last order?
The company continues adding generative AI features for marketplace sellers. One new tool allows sellers to sync product listings from their own websites by providing a URL. The program parses the information from the websites to create high-quality, engaging listings on Amazon.
Amazon reported net income (operating income less taxes and extraordinary items) of nearly $37.7 billion for the 12 months ending March 31, up 778% from $4.3 billion a year earlier. Yet the company sees further improvements ahead.
In the April earnings call, CEO Andrew Jassy stated he doesnt believe that were at the end of what we can do in terms of improving our cost structure on the Stores side [i.e., Products sales]. Yes, I think there are really unbelievable growth opportunities in front of us, and on the Stores profitability.
He added, Were looking for ways to, again, turn over every rock, look at every process and everything that we do on the logistics side, and see how we can get our cost structure down and get speed and selection up. So, its working on a lot of fronts there, but cost is certainly front and center as we meet and improve customer experience.
Profits grew immensely over the year, but the companys operating margin percentages have not, which may be a driver of the cost concerns. Amazon reported a global net sales operating margin of 8% for the 12 months through March 31, compared to 2.5% a year earlier. That figure for North America totaled 5.2% through March and -0.1% a year earlier. The figures for international net sales improved to -0.4% from -6.6%.
In September 2023, the company introduced Supply Chain by Amazon, offering third-party logistics worldwide.
It really kind of, in some ways, mirrors some of the other businesses weve gotten involved in, AWS being an example of it, Jassy said on the call.
The service helps sellers get items across borders and through customs. It also ships items from customs to various facilities, including allowing sellers to store items in warehouses that they can automatically replenish into Amazons fulfillment centers or move elsewhere.
It turns out to be pretty hard work to actually import items from overseas, get them through customs and the border, and then ship them from that point to various facilities, Jassy said. We built that capability for ourselves first, and then we opened up those services as individual services to our sellers.
Supply Chain by Amazon is growing very significantly. Its already what I would consider a reasonable-sized business, Jassy said, adding that its still early for the low-capital program.
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Amazon Mid-2024: Earnings, Overview - Practical Ecommerce
Data Center Interconnect Market Future Looks Promising for Market Size as it Takes Off – Taiwan News
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Data Center Interconnect Market Future Looks Promising for Market Size as it Takes Off - Taiwan News