Category Archives: Cloud Computing
Amazon Reports $143.3 Billion in Revenue for First Quarter of 2024 – The New York Times
Amazon reported its highest first-quarter profit on Tuesday as it continued to wring efficiencies out of its retail business and recharge growth in its cloud computing operations.
The company was also for the first time on track to have $100 billion in annual cloud computing sales.
The company had $143.3 billion in revenue in the first three months of the year, up 13 percent from a year earlier. Profit more than tripled, to $10.4 billion. The results beat analysts expectations.
It was a good start to the year across the business, and you can see that in both our customer experience improvements and financial results, Andy Jassy, Amazons chief executive, said in a statement.
After a year of companies paring back tech spending, Amazons lucrative cloud computing business has been regaining steam. Sales from cloud computing were up 17 percent, to $25 billion. The growth was the fastest pace in more than a year. Operating income for that business grew 84 percent to $9.4 billion, accounting for most of the companys operating profit.
Amazons share price was up more than 3 percent in after-hours trading on Tuesday.
Amazon spent about $14 billion on capital expenses and leases in the quarter, a figure particularly driven by investments in cloud computing, Brian Olsavsky, Amazons finance chief, said on a call with investors. That amount was about $1 billion more than for the same period last year. He said Amazon expected to spend more as the year goes on, primarily to serve the generative A.I. opportunities that we are seeing.
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Amazon Reports $143.3 Billion in Revenue for First Quarter of 2024 - The New York Times
Microsoft Invests $2.2B to Bring AI, Cloud Technologies to Malaysia – AI Business
Microsofts ongoing AI spending spree continues as the company announced plans to invest $2.2 billion in Malaysia over the next four years to bring AI and cloud infrastructure to the Southeast Asian country.
Microsoft says its expansion will enable the company to meet the increasing demand for local cloud computing and AI services. Citing figures from Kearney, the company highlighted that Malaysia is expected to contribute $115 billion to Southeast Asia's total projected GDP growth of $1 trillion by 2030, a growth driven by advancements in AI.
Microsoft also pledged to support skill developing initiatives for 200,000 Malaysians, part of its wider pledge to enhance the skills of 2.5 million Southeast Asians by 2025.
The company will also work with the Government of Malaysia, establishing a national center of excellence for AI. Additionally, Microsoft will work with local authorities to improve the countrys cybersecurity landscape.
We are committed to supporting Malaysias AI transformation and ensure it benefits all Malaysians, said Satya Nadella, Microsofts chair and CEO. Our investments in digital infrastructure and skilling will help Malaysian businesses, communities and developers apply the latest technology to drive inclusive economic growth and innovation across the country.
Related:Microsoft Invests $1.7B to Improve AI, Cloud Infrastructure in Indonesia
Microsoft Malaysias managing director Laurence Si said with the rising demand for cloud and AI, Microsofts investment underscores the companys commitment to building a robust digital ecosystem in the country.
From driving more innovations born in Malaysia, to fostering an ecosystem of skilled talents and enhancing cybersecurity capabilities for Malaysian organizations, we are dedicated to our role as a trusted technology partner to the nation, Si said.
The announcements were made during the latest edition of Microsofts Build event in Kuala Lumpur. Another earlier version of the event took place in Indonesia earlier this week, which saw Microsoft make a similar investment pledge to support local AI efforts.
Microsoft said its $2.2 billion investment is its largest in Malaysia. This latest cash injection builds on its April 2021 Bersama Malaysia agreement, where Microsoft established its first data center in the country.
As part of its skills pledge, Microsoft will provide students with technical education on AI skills via the AITEACH Malaysia program.
Malaysian women will receive help building cybersecurity-related skills through Microsofts support for the local Ready4AI&Security program.
Related:Microsoft Invests $1.5B to Bring AI to the Middle East
Microsofts development of essential cloud and AI infrastructure, together with AI skilling opportunities, will significantly enhance Malaysias digital capacity and further elevate our position in the global tech landscape, said Tengku Datuk Seri Utama Zafrul Abdul Aziz, Malaysias minister of investment, trade and industry. Together with Microsoft, we look forward to creating more opportunities for our small and medium-sized enterprises and better-paying jobs for our people, as we ride the AI revolution to fast-track Malaysias digitally empowered growth journey.
Microsoft's collaboration with the Malaysian government involves engaging in public sector projects, such as utilizing AI tools to analyze the economic effects of trade negotiations and enhance productivity within the country's energy agencies.
The company will also team with the National Cyber Security Agency of Malaysia to enhance the countrys cybersecurity capabilities through expanded security assessments.
We are honored to collaborate with the government to support their National AI Framework, which enhances the countrys global competitiveness, said Andrea Della Mattea, Microsofts Association of Southeast Asian Nations president. This strategic emphasis on AI not only boosts economic growth but also promotes inclusivity by bridging the digital divide and ensuring everyone gets a seat at the table, so every Malaysian can thrive in this new digital world.
Microsofts AI expansions in Indonesia and now Malaysia follow earlier expansions in Japan and the Middle East.
Its investments in local AI and cloud solutions align with findings from a recent Omdia report which states countries in Asia and Oceania are steering away from Western-centric AI solutions in favor of services more suitable for local languages, cultures and use cases.
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Microsoft Invests $2.2B to Bring AI, Cloud Technologies to Malaysia - AI Business
Quantum Cloud Computing Secured in New Breakthrough at Oxford – TechRepublic
Businesses are one step closer to quantum cloud computing, thanks to a breakthrough made in its security and privacy by scientists at Oxford University.
The researchers used an approach dubbed blind quantum computing to connect two quantum computing entities (Figure A); this simulates the situation where an employee at home or in an office remotely connects to a quantum server via the cloud. With this method, the quantum server provider does not need to know any details of the computation for it to be carried out, keeping the users proprietary work secure. The user can also easily verify the authenticity of their result, confirming it is neither erroneous nor corrupted.
Figure A
Ensuring the security and privacy of quantum computations is one of the most significant roadblocks that has held the powerful technology back so far, so this work could lead to it finally entering the mainstream.
Despite only being tested on a small scale, the researchers say their experiment has the potential to be scaled up to large quantum computations. Plug-in devices could be developed that safeguard a workers data while they access quantum cloud computing services.
Professor David Lucas, the co-head of the Oxford University Physics research team, said in a press release: We have shown for the first time that quantum computing in the cloud can be accessed in a scalable, practical way which will also give people complete security and privacy of data, plus the ability to verify its authenticity.
Classical computers process information as binary bits represented as 1s and 0s, but quantum computers do so using quantum bits, or qubits. Qubits exist as both a 1 and a 0 at the same time, but with a probability of being one or the other that is determined by their quantum state. This property enables quantum computers to tackle certain calculations much faster than classical computers, as they can solve problems simultaneously.
Quantum cloud computing is where quantum resources are provided to users remotely over the internet; this allows anyone to utilise quantum computing without the need for specialised hardware or expertise.
FREE DOWNLOAD: Quantum computing: An insiders guide
With typical quantum cloud computing, the user must divulge the problem they are trying to solve to the cloud provider; this is because the providers infrastructure needs to understand the specifics of the problem so it can allocate the appropriate resources and execution parameters. Naturally, in the case of proprietary work, this presents a security concern.
This security risk is minimised with the blind quantum computing method because the user remotely controls the quantum processor of the server themselves during a computation. The information required to keep the data secure like the input, output and algorithmic details only needs to be known by the client because the server does not make any decisions with it.
Never in history have the issues surrounding privacy of data and code been more urgently debated than in the present era of cloud computing and artificial intelligence, said Professor Lucas in the press release.
As quantum computers become more capable, people will seek to use them with complete security and privacy over networks, and our new results mark a step change in capability in this respect.
Quantum computing is vastly more powerful than conventional computing, and could revolutionise how we work if it is successfully scaled out of the research phase. Examples include solving supply chain problems, optimising routes and securing communications.
In February, the U.K. government announced a 45 million ($57 million) investment into quantum computing; the money goes toward finding practical uses for quantum computing and creating a quantum-enabled economy by 2033. In March, quantum computing was singled out in the Ministerial Declaration, with G7 countries agreeing to work together to promote the development of quantum technologies and foster collaboration between academia and industry. Just this month, the U.K.s second commercial quantum computer came online.
Due to the extensive power and refrigeration requirements, very few quantum computers are currently commercially available. However, several leading cloud providers do offer so-called quantum-as-a-service to corporate clients and researchers. Googles Cirq, for example, is an open source quantum computing platform, while Amazon Braket allows users to test their algorithms on a local quantum simulator. IBM, Microsoft and Alibaba also have quantum-as-a-service offerings.
WATCH: What classic software developers need to know about quantum computing
But before quantum computing can be scaled up and used for business applications, it is imperative to ensure it can be achieved while safeguarding the privacy and security of customer data. This is what the Oxford University researchers hoped to achieve in their new study, published in Physical Review Letters.
Dr. Peter Dmota, study lead, told TechRepublic in an email: Strong security guarantees will lower the barrier to using powerful quantum cloud computing services, once available, to speed up the development of new technologies, such as batteries and drugs, and for applications that involve highly confidential data, such as private medical information, intellectual property, and defence. Those applications exist also without added security, but would be less likely to be used as widely.
Quantum computing has the potential to drastically improve machine learning. This would supercharge the development of better and more adapted artificial intelligence, which we are already seeing impacting businesses across all sectors.
It is conceivable that quantum computing will have an impact on our lives in the next five to ten years, but it is difficult to forecast the exact nature of the innovations to come. I expect a continuous adaptation process as users start to learn how to use this new tool and how to apply it to their jobs similar to how AI is slowly becoming more relevant at the mainstream workplace right now.
Our research is currently driven by quite general assumptions, but as businesses start to explore the potential of quantum computing for them, more specific requirements will emerge and drive research into new directions.
Blind quantum cloud computing requires connecting a client computer that can detect photons, or particles of light, to a quantum computing server with a fibre optic cable (Figure B). The server generates single photons, which are sent through the fibre network and received by the client.
Figure B
The client then measures the polarisation, or orientation, of the photons, which tells it how to remotely manipulate the server in a way that will produce the desired computation. This can be done without the server needing access to any information about the computation, making it secure.
To provide additional assurance that the results of the computation are not erroneous or have been tampered with, additional tests can be undertaken. While tampering would not harm the security of the data in a blind quantum computation, it could still corrupt the result and leave the client unaware.
The laws of quantum mechanics dont allow copying of information and any attempt to observe the state of the memory by the server or an eavesdropper would corrupt the computation, Dr Dmota explained to TechRepublic in an email. In that case, the user would notice that the server isnt operating faithfully, using a feature called verification, and abort using their service if there are any doubts.
Since the server is blind to the computation ie, is not able to distinguish different computations the client can evaluate the reliability of the server by running simple tests whose results can be easily checked.
These tests can be interleaved with the actual computation until there is enough evidence that the server is operating correctly and the results of the actual computation can be trusted to be correct. This way, honest errors as well as malicious attempts to tamper with the computation can be detected by the client.
Figure C
The researchers found the computations their method produced could be verified robustly and reliably, as per the paper. This means that the client can trust the results have not been tampered with. It is also scalable, as the number of quantum elements being manipulated for performing calculations can be increased without increasing the number of physical qubits in the server and without modifications to the client hardware, the scientists wrote.
Dr. Drmota said in the press release, Using blind quantum computing, clients can access remote quantum computers to process confidential data with secret algorithms and even verify the results are correct, without revealing any useful information. Realising this concept is a big step forward in both quantum computing and keeping our information safe online.
The research was funded by the UK Quantum Computing and Simulation Hub a collaboration of 17 universities supported by commercial and government organisations. It is one of four quantum technology hubs in the UK National Quantum Technologies Programme.
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Quantum Cloud Computing Secured in New Breakthrough at Oxford - TechRepublic
Oracle to Invest More Than $8 Billion in Cloud Computing and AI in Japan – PR Newswire
Planned investment will grow Oracle Cloud Infrastructure's footprint in Japan
Expanded local support and operations team will help customers and partners address digital sovereignty requirements
AUSTIN, Texas and TOKYO, April 17, 2024 /PRNewswire/ -- Oracle Corporation Japan today announced that it plans to invest more than $8 billion over the next 10 years to meet the growing demand for cloud computing and AI infrastructure in Japan. The investment will grow Oracle Cloud Infrastructure's (OCI) footprint across Japan. In addition, to help customers and partners address the digital sovereignty requirements in Japan, Oracle will significantly expand its operations and support engineering teams with Japan-based personnel.
"We are dedicated to meeting our customers and partners where they are in their cloud journey," said Toshimitsu Misawa, member of the board, corporate executive officer and president, Oracle Corporation Japan. "By growing our cloud footprint and providing a team to support sovereign operations in Japan, we are giving our customers and partners the opportunity to innovate with AI and other cloud services while supporting their regulatory and sovereignty requirements."
Oracle plans to increase local customer support of its public cloud regions in Tokyo and Osaka and its local operations teams for Oracle Alloy and OCI Dedicated Region. This will enable governments and businesses across Japan to continue to move their mission-critical workloads to the Oracle Cloud and embrace sovereign AI solutions. Oracle sovereign cloud and AI services can be delivered securely within a country's borders or an organization's premises with a range of operational controls. Oracle is the only hyperscaler capable of delivering AI and a full suite of 100+ cloud services locally, anywhere.
Oracle's Distributed Cloud Delivers the Benefits of Cloud with Greater Control and Flexibility
OCI's distributed cloud lineup supports:
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About OracleOracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at http://www.oracle.com.
TrademarksOracle, Java, MySQL and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud companyushering in the new era of cloud computing.
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Oracle to Invest More Than $8 Billion in Cloud Computing and AI in Japan - PR Newswire
Oracle to invest $8bn in cloud computing and AI in Japan – DatacenterDynamics
Oracle plans to invest more than $8 billion in Japan over the next decade to meet growing cloud computing and AI infrastructure demands.
The cloud provider said it will expand its operations across Japan, from supporting Japanese engineering teams in addressing digital sovereignty requirements to increasing customer support in its cloud regions in Tokyo and Osaka.
The company said it aims to enable governments and businesses to move their mission-critical workloads to Oracle Cloud.
Toshimitsu Misawa, CEO and member of the board at Oracle Japan, said: By growing our cloud footprint and providing a team to support sovereign operations in Japan, we are giving our customers and partners the opportunity to innovate with AI and other cloud services while supporting their regulatory and sovereignty requirements.
Oracle launched its cloud regions in Tokyo and Osaka in 2019 and 2020 respectively. Other major cloud providers also have a presence in Japan.
Last year, Oracle announced it would expand 66 of its existing cloud data centers and build 100 new ones globally. The company usually relies on leasing space from third-party providers.
AWS launched a Tokyo region in 2011, with an Osaka region opening in 2021. Google launched its first Japanese region in Tokyo in 2016, with Osaka coming in 2019. Alibaba also has a Tokyo region, launched in 2016.
Microsoft has two Japanese Azure regions - Tokyo and Osaka - that both launched in 2014. Microsoft also announced plans earlier this month to invest $2.9 billion in data centers in Japan, also to address growing AI demand.
Oracle announced in December last year that it had deployed its Oracle database services in the Microsoft Azure East US regions data centers. This followed the multi-year agreement between the two companies that saw Microsoft use Oracle Cloud Infrastructure for AI referencing for its Bing search engine.
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3 Cloud Computing Stocks to Buy Now: Q2 Edition – InvestorPlace
Soar into the clouds with these cloud computing stocks
Source: Blackboard / Shutterstock
Cloud computing is a vast industry expected to achieve a16.40% compounded growth rateuntil 2029. Businesses operating in this sector have experienced rising revenue and profit margin expansion.
Some big tech corporations have embraced this technology and have become early adopters. The early mover advantage has helped a few large companies end up with a significant percentage of thecloud computing market share. The top three companies in the industry have overwhelming leads on the rest of the competition. The three stocks below have 66% of the total market share.
Source: Tada Images / Shutterstock.com
Amazon(NASDAQ:AMZN) is the leader in cloud computing. It has a 31% market share in the industry and continues to achieve a double-digit growth rate. Amazon Web Services grew its sales by 13% year-over-year inQ4 2023to reach $24.2 billion. Amazon grew its net sales by 14% year-over-year to reach a record $170.0 billion. The online marketplace is still a key revenue driver.
The tech conglomerate also benefits from other business segments like advertising and video streaming. Analysts feel optimistic about the stock and have rated it as a Strong Buy. It has aprojected 13% upside. Analysts have been rushing to raise their price targets, and the highest currently stands at $230. This price target implies a 24% upside.
Amazon stock has been outperforming the stock market. Shares are up by 24% year-to-date and have gained 81% over the past year. Rising profit margins can bring the stock price higher.
Source: Ascannio / Shutterstock.com
Microsoft(NASDAQ:MSFT) has the second-largest market share in the cloud computing industry. The company gained ground on Amazon and has 24% of the industry under its reigns. Microsoft has compelling growth opportunities that stretch beyond cloud computing. It owns LinkedIn, Xbox, various software products, Copilot and other businesses.
Microsoft Cloud is the main growth driver for the stock. The companys cloud segment grew by 24% year-over-year inQ2 FY24, making up more than half of the companys total revenue. Analysts are optimistic about the company and rated it as a Strong Buy. The stock has a projected 12% upside from the current price point.
Overall revenue jumped by 18% year-over-year, while net income surged by 33% year-over-year. Those financials indicate Microsoft can gain more ground and reward long-term investors. Seeing a company with a vast moat reporting revenue growth while expanding profit margins is a good sign. Shares are up by 14% year-to-date.
Alphabet(NASDAQ:GOOG, NASDAQ:GOOGL) started as an advertising company. While Google and YouTube advertisements are still the companys main source of revenue, cloud computing is a growing segment. Alphabets cloud revenue represents more than 10% of the companys total revenue. Google Cloud contributed to the companys 13% year-over-year revenue growth inQ4 2023. Net income soared by 52% year-over-year.
Alphabet is rated a Strong Buy with a projected 5% upside. The highest price target of $185 per share indicates the stock can rally by an additional 17% from current levels. Alphabet shares are up 14% year-to-date and have gained 150% over the past five years.
Recent AI miscues have caused investors to underestimate the companys potential in the industry. Tepid excitement around AI initiatives has resulted in a reasonable 29 P/E ratio relative to other big tech stocks. Alphabet is far more than just AI and is gaining market share in the advertising and cloud computing industries.
On this date of publication, Marc Guberti held long positions in AMZN, MSFT, and GOOG. The opinions expressed in this article are those of the writer, subject to theInvestorPlace.comPublishing Guidelines.
Marc Guberti is a finance freelance writer at InvestorPlace.com who hosts the Breakthrough Success Podcast. He has contributed to several publications, including the U.S. News & World Report, Benzinga, and Joy Wallet.
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3 Cloud Computing Stocks to Buy Now: Q2 Edition - InvestorPlace
Secret Rift Over Data Center Fueled Push to Expand Reach of Surveillance Program – The New York Times
A hidden dispute over whether a data center for cloud computing must cooperate with a warrantless surveillance program prompted the House last week to add a mysterious provision to a bill extending the program, according to people familiar with the matter.
The disclosure helps clarify the intent behind an amendment that has alarmed privacy advocates as Senate leaders try to swiftly pass the bill, which would add two more years to a wiretapping law known as Section 702. The provision would add to the types of service providers that could be compelled to participate in the program, but it is written in enigmatic terms that make it hard to understand what it is supposed to permit.
Data centers are centralized warehouses of computer servers that can be accessed over the internet from anywhere in the world. In the cloud computing era, they are increasingly operated by third parties that rent out the storage space and computing power that make other companies online services work.
Even as national security officials described the provision as a narrow fix to a technical issue, they have declined to explain a classified court ruling from 2022 to which the provision is a response, citing the risk of tipping off foreign adversaries. Privacy advocates, for their part, have portrayed the amendment as dangerous, so broadly worded that it could be used to draft ordinary service people like cable installers, janitors or plumbers who can gain physical access to office computer equipment to act as spies.
Under Section 702, the government may collect, without a warrant and from U.S. companies like Google and AT&T, the communications of foreigners abroad who have been targeted for intelligence or counterterrorism purposes even when they are communicating with Americans. Enacted in 2008, it legalized a form of the warrantless surveillance program President George W. Bush began after the terrorist attacks of Sept. 11, 2001.
Specifically, after the court that oversees national security surveillance approves the governments annual requests seeking to renew the program and setting rules for it, the administration sends directives to electronic communications service providers that require them to participate. If any such entity balks, the court decides whether it must cooperate.
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Cloud computing empowers AI on blockchain Here’s how – Cointelegraph
In recent years, the fusion of artificial intelligence (AI) with blockchain technology has sparked considerable interest across various sectors, promising groundbreaking innovations that could transform industries ranging from finance to healthcare.
The combination holds the potential to enhance data security, improve decision-making processes and unlock new efficiencies. Yet, despite the palpable excitement, the path to fully unleashing AIs capabilities within the blockchain ecosystem is fraught with challenges that need to be meticulously addressed.
One of the biggest challenges lies in scalability and processing power. Blockchain networks, made to be secure and open for everyone, often have trouble dealing with many transactions at once. These networks typically process transactions at a slower pace compared to centralized systems, a bottleneck that intensifies when integrating computational power-hungry AI algorithms and machine learning models.
The sheer computational power required for these AI systems is vast, and most current blockchain infrastructures simply arent equipped to handle this demand efficiently. The deadlock results in slowed processing speeds and escalates operational costs, posing a considerable obstacle to scalability and wider adoption.
Integration complexity stands as another formidable barrier. A new breed of frameworks and protocols must be developed for AI systems to interact effectively with blockchain networks. The developed solutions need to facilitate the complex dialogue between AI algorithms and blockchain technology, ensuring a seamless, secure and efficient integration that can support the advanced functionalities demanded by modern applications.
Moreover, sustainability concerns loom large over the future development of both AI and blockchain technologies. To put it into perspective, training a single AI model can emit a carbon footprint equivalent to five cars over their entire lifespans. The substantial energy consumption inherent to these technologies stemming from the intensive computational power required by AI systems and the energy-intensive nature of many blockchain networks raises pressing environmental and ethical questions.
High electricity usage translates to an increased carbon footprint, a situation at odds with global efforts to combat climate change. Addressing these sustainability challenges is critical from an environmental standpoint and ensuring the long-term viability and acceptance of AI and blockchain innovations.
As the digital world progresses toward more integrated and efficient systems, decentralized sustainable Web3 cloud computing platforms emerge as vital players in addressing the limitations hindering AIs full potential within the blockchain ecosystem.
One such platform, CUDOS a decentralized blockchain-based network exemplifies a scalable solution designed to sustainably meet the escalating demands of AI and cloud computing. The platform aims to improve user experience by providing faster, more reliable services at lower costs and addressing pressing issues related to energy consumption to minimize environmental impacts.
The platforms unique offering, CUDOS Intercloud, is designed to meet the burgeoning needs of AI development, the metaverse, high-performance computing and the broader Web3 community. It provides a seamless, permissionless gateway to a Web3-native, decentralized cloud computing ecosystem that prioritizes eco-friendliness alongside cutting-edge technology.
CUDOS Intercloud initiative is precisely optimized for AI companies requiring robust, full virtual machines for efficient operation. Intercloud provides access to the latest Ada Lovelace and Ampere GPU options through passthrough for peak performance, ensuring AI applications run smoothly. The platforms pay-for-what-you-use model, with immediate refunds for unused time, exemplifies CUDOSs commitment to flexibility and efficiency.
CUDOS addresses scalability and processing power challenges by leveraging distributed compute resources from a global network of providers in eight countries, including the United States, the United Kingdom, Canada, Nigeria, Norway, Brazil, India and Sweden. CUDOS decentralized strategy expands the processing capacity available for AI applications, ensuring scalability and efficiency beyond the constraints of conventional blockchain infrastructures.
Optimized for performance, CUDOS grants access to a broad spectrum of computational resources, enabling AI algorithms to operate with maximum efficiency. This optimization cuts down processing times for intricate computations, facilitating the deployment of advanced AI models on blockchain platforms, thus overcoming a key obstacle in integrating AI with blockchain technology.
Through standardized application programming interfaces (APIs) and development frameworks, CUDOS simplifies the integration of AI with blockchain. These tools are crafted to reduce the complexities associated with blockchain technology, allowing AI developers to easily deploy and manage their applications.
With cross-chain compatibility on its roadmap, CUDOS is gearing up to enhance interoperability among various blockchain networks. The cross-chain capability will enable AI applications to access data and resources across blockchains, significantly diminishing integration complexity.
CUDOS actively addresses sustainability concerns by committing to partnerships exclusively with providers that utilize 100% renewable energy for their GPU requirements, as exemplified in its recent collaboration with a Sweden-based supplier.
By choosing partners that utilize 100% renewable energy, CUDOS ensures the sustainability of its operations and champions a vision where technological progress does not come at the expense of the environment.
Decentralized sustainable Web3 cloud computing platforms like CUDOS represent a transformative solution to the current limitations facing AI on blockchain and aim to become the industrys ultimate form of cloud computing. By addressing key challenges such as scalability, integration complexity and sustainability concerns, CUDOS paves the way for the seamless integration of AI technologies with blockchain.
CUDOS roadmap for 2024. Source: CUDOS
The innovation enhances the capabilities and efficiency of AI applications while promoting a more secure, transparent and equitable digital ecosystem. As such platforms continue to evolve and mature, they will play a crucial role in realizing the full potential of AI on the blockchain, driving innovation and value creation across numerous industries.
Disclaimer. Cointelegraph does not endorse any content or product on this page. While we aim at providing you with all important information that we could obtain in this sponsored article, readers should do their own research before taking any actions related to the company and carry full responsibility for their decisions, nor can this article be considered as investment advice.
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Cloud computing empowers AI on blockchain Here's how - Cointelegraph
Fujitsu to use Oracle Alloy for sovereign cloud in Japan – DatacenterDynamics
Fujitsu has selected Oracle Alloy to deploy sovereign cloud services in Japan.
Oracle Alloy is a cloud infrastructure platform that enables other companies to build their own cloud offering. The solution is built on Oracle hardware and the company's cloud stack. User's clouds are also compatible with Oracle's own cloud, meaning hyperscale public resources are available for both service providers and customers.
By using Alloy, Fujitsu will expand its Hybrid IT offering Fujitsu Uvance. Fujitsu will deploy and manage Oracle Alloy in its data centers in Japan. This will provide the company's customers with access to more than 100 Oracle cloud services while meeting data security and sovereignty requirements.
Kazushi Koga, SEVP of Fujitsu said: "Our collaboration with Oracle positions us to deliver a sovereign cloud offering that enables hyperscale functionality and digital sovereignty capabilities while ensuring operational governance by Fujitsu.
Scott Twaddle, senior vice president, Product and Industries, Oracle Cloud Infrastructure, added: With Oracle Alloy we will be bringing our best cloud technologies to help Fujitsus customers transform and modernize their businesses and society. Fujitsus sovereign cloud approach in Japan is a testament to their forward-looking technology strategy. We look forward to continuing to partner with Fujitsu to bring cloud services to more customers around the world.
According to Fujitsu: "Based on the knowledge accumulated through use cases in the Japanese market, Fujitsu will actively consider expanding Oracle Alloy to other markets." The company has a presence in over 35 countries.
The deal was announced shortly after Oracle committed to investing $8 billion in cloud computing and AI in Japan over the next decade. The cloud provider has existing cloud regions in Tokyo and Osaka that were launched in 2019 and 2020, respectively.
Last year, Oracle announced it would expand 66 of its existing cloud data centers and build 100 new ones globally, equating to between $7bn and $7.5bn in capex alone this year.
Fujitsu and Oracle previously had an agreement through which Oracle cloud services would be offered through Fujitsu's Japan data centers, and be linked with Fujitsu's K5 cloud.
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Fujitsu to use Oracle Alloy for sovereign cloud in Japan - DatacenterDynamics
Oracle to invest more than $8B in cloud computing and AI in Japan – TNGlobal – TechNode Global
Oracle Corporation Japan has on Wednesday announced that it plans to invest more than $8 billion over the next ten years to meet the growing demand for cloud computing and artificial intelligence (AI) infrastructure in Japan.
The firm said in a statement that the investment will grow Oracle Cloud Infrastructures (OCI) footprint across Japan.
In addition, to help customers and partners address the digital sovereignty requirements in Japan, Oracle will significantly expand its operations and support engineering teams with Japan-based personnel.
We are dedicated to meeting our customers and partners where they are in their cloud journey,
By growing our cloud footprint and providing a team to support sovereign operations in Japan, we are giving our customers and partners the opportunity to innovate with AI and other cloud services while supporting their regulatory and sovereignty requirements, said Toshimitsu Misawa, member of the board, corporate executive officer and president, Oracle Corporation Japan.
According to the statement, Oracle plans to increase local customer support of its public cloud regions in Tokyo and Osaka and its local operations teams for Oracle Alloy and OCI Dedicated Region.
This will enable governments and businesses across Japan to continue to move their mission-critical workloads to the Oracle Cloud and embrace sovereign AI solutions.
It is noted that Oracle sovereign cloud and AI services can be delivered securely within a countrys borders or an organizations premises with a range of operational controls.
Oracle is the only hyperscaler capable of delivering AI and a full suite of 100+ cloud services locally, anywhere. OCIs distributed cloud lineup supports:
According to the statement, OCIs distributed cloud lineup supports dedicated cloud, hybrid cloud, public cloud and multicloud.
For dedicated cloud, customers can run all OCI cloud services in their own data centers with OCI Dedicated Region, while partners can resell OCI cloud services and customize the experience using Oracle Alloy.
Oracle also operates separate U.S., UK, and Australian Government Clouds, and Isolated Cloud Regions for U.S. national security purposes.
Each of these products provide a full cloud and AI stack that customers can deploy as a Sovereign Cloud.
As for hybrid cloud, OCI delivers key cloud services on-premises via Oracle Exadata Cloud@Customer and Compute Cloud@Customer and is already managing deployments in over 60 countries.
For public cloud, Oracle said forty-nine hyperscale public cloud regions serve any size of organization, including those requiring strict EU sovereignty controls.
As for multicloud, there are options including Oracle Database@Azure, MySQL HeatWave on AWS, and Oracle Interconnect for Microsoft Azure which allow customers to combine key capabilities from across clouds.
Oracle Strengthens Australias Digital Economy with a New Government Cloud
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Oracle to invest more than $8B in cloud computing and AI in Japan - TNGlobal - TechNode Global