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Nvidia CEO Jensen Huang says AI will be ‘fairly competitive’ with humans in 5 years – CNBC

Nvidia CEO Jensen Huang said Wednesday that artificial intelligence is gaining on humans.

Speaking at The New York Times' annual DealBook Summit, Huang said that if artificial general intelligence (AGI) is defined as a computer that can complete tests in a "fairly competitive" way to human intelligence, then "within the next five years, you're going to see, obviously, AIs that can achieve those tests."

Nvidia's business is booming because of the surge in demand for high-powered graphics processing units (GPUs) that are needed to train AI models and run hefty workloads across industries like automotive, architecture, electronics, engineering and scientific research as well as for OpenAI's ChatGPT.

Revenue in Nvidia's fiscal third quarter tripled, while net income climbed to $9.24 billion from $680 million a year earlier.

In the interview Wednesday, Huang recalled delivering "the world's first AI supercomputer" to OpenAI, after Elon Musk, who co-founded the AI project before departing it in 2018, heard Huang speak about the device at a conference.

"Elon saw it, and he goes, 'I want one of those' he told me about OpenAI," Huang said. "I delivered the world's first AI supercomputer to OpenAI on that day."

Regarding the recent chaos surrounding OpenAI, its board structure, and the ousting and subsequent reinstatement of CEO Sam Altman, Huang said he hoped things were calming down.

"I'm happy that they're settled, and I hope they're settled it's a really great team," Huang said. "It also brings to mind the importance of corporate governance. Nvidia is here 30 years after our founding, we've gone through a lot of adversity. If we didn't set up our company properly, who knows what would have been."

Huang predicted that competition in the AI space will lead to the emergence of off-the-shelf AI tools that companies in different industries will tune according to their needs, from chip design and software creation to drug discovery and radiology.

Huang was asked onstage to rank the success of various companies in the AI market.

"I'm not going to rank my friends," he said. "I'll admit it, I want to, but I'm not going to do it."

One reason the tech industry is still years away from AGI, Huang said, is that although machine learning is currently skilled at tasks like recognition and perception, it can't yet perform multistep reasoning, which is a top priority for companies and researchers.

"Everybody's working on it," Huang said.

And the technology is moving forward very quickly.

"There's no question that the rate of progress is high," Huang said. "What we realize today is that of course, what we can do today with these models and intelligence are related, but not the same."

WATCH: Nvidia CEO says U.S. chipmakers at least a decade away from China supply chain independence

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Navigating The AI Landscape: Part 1 – Forbes

in 1950, this is one of Britain's earliest stored program computers and the oldest complete general purpose electronic computer in Britain. Designed and built at the National Physical Laboratory, Middlesex in 1949-1950, it was based on plans for a larger computer (the ACE) designed by the mathematician Alan Turing (1912-1954) at NPL between 1945 and 1947. Previously Turing worked on the Colossus computer used in codebreaking at Bletchley Park during World War II. Pilot ACE was estimated to have cost 50,000 to design and build, but by 1954 had earned over 240,000 from advanced scientific and engineering work in various fields including crystallography, aeronautics and computing bomb trajectories. (Photo by SSPL/Getty Images)SSPL via Getty Images

For the past year, I have been working on a technology company focused in the AI (artificial intelligence) space. The only thing constant about AI is its rapid pace of change. Chat GPT, which was most consumers introduction to AI, just turned one year old, and since then, the feverish pace at which AI has moved, board drama and all, has been incredible.

But what about the basics? What should you know as a business person, or a casual follower of AI to catch you up on what you need to know? I've compiled a primer aimed at guiding you back to the foundational elements of AI, so you can be conversant and knowledgeable on the fundamentals. In future parts of this series, Ill be addressing practical use cases of AI and companies you should follow.

A previous Forbes contributor put a similar guide together 6 years ago. However, considering the dramatic advancements since then, an updated version seemed not just appropriate, but necessary.

Glossary Of Terms

I wanted to first start off with a key set of terms that you should know in order to understand what artificial intelligence is, including AI itself. Of course many define these terms differently, so I recommend you do your own research and deeper dives on the subject. But to start with, I recommend you know the following:

What Are The Core Technologies Powering AI?

So you want to start an AI company, and dont know the different areas that need support? Or you are seeking investment ideas for potential companies to target? There are different areas of AI that present opportunities for investment, pathways for employment, or avenues for further education and understanding.

Finally, large language models (LLMs) like GPT-4 have emerged as a key component powering conversational AI. LLMs provide the underlying language capabilities leveraged by chatbots and voice assistants.

Further Reading

If you really want to get into the guts of how AI functions, consider exploring these detailed technical papers. These selections not only serve as excellent entry points but are also widely recognized as pivotal contributions to the field. However, bear in mind, this list is not exhaustive:

For a frequently updated, high-level perspective on AI, I recommend Rowan Cheungs newsletter The Rundown.

I will be adding to this series frequently, so please stay tuned.

I am the Founder of Hamlet - a technology company focused on using artificial intelligence to summarize public information. Hamlets goal is to make local government easy to understand.

Prior to Hamlet, I Co-Founded Scripted.com - a marketplace for businesses to hire freelance writers. Scripted was backed by Redpoint Ventures and Crosslink Capital (raised ~$20M of capital and was eventually sold). I ran a local publication in San Francisco called The Bold Italic, which I sold to Medium in 2019.

Ive been a marketing executive at Metromile - where I was CMO, and GoodRx, where I was VP of Marketing. I ran one of the top 200 podcasts (called This is Your life in Silicon valley) in the US and my writing has generated 10s of millions of pageviews. I live in the Bay Area where I mostly grew up, but went to high school in Cleveland (diehard Cleveland sports fan).

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Navigating The AI Landscape: Part 1 - Forbes

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Meta’s AI chief doesn’t think AI super intelligence is coming anytime soon, and is skeptical on quantum computing – OODA Loop

Metas chief scientist and deep learning pioneer Yann LeCun said he believes that current AI systems are decades away from reaching some semblance of sentience, equipped with common sense that can push their abilities beyond merely summarizing mountains of text in creative ways.His point of view stands in contrast to that of Nvidia CEO Jensen Huang, who recently said AI will be fairly competitive with humans in less than five years, besting people at a multitude of mentally intensive tasks.I know Jensen, LeCun said at a recent event highlighting the Facebook parent companys 10-year anniversary of its Fundamental AI Research team. LeCun said the Nvidia CEO has much to gain from the AI craze. There is an AI war, and hes supplying the weapons.[If] you think AGI is in, the more GPUs you have to buy, LeCun said, about technologists attempting to develop artificial general intelligence, the kind of AI on par with human-level intelligence. As long as researchers at firms such as OpenAI continue their pursuit of AGI, they will need more of Nvidias computer chips.Society is more likely to get cat-level or dog-level AI years before human-level AI, LeCun said. And the technology industrys current focus on language models and text data will not be enough to create the kinds of advanced human-like AI systems that researchers have been dreaming about for decades.Text is a very poor source of information, LeCun said, explaining that it would likely take 20,000 years for a human to read the amount of text that has been used to train modern language models. Train a system on the equivalent of 20,000 years of reading material, and they still dont understand that if A is the same as B, then B is the same as A.Theres a lot of really basic things about the world that they just dont get through this kind of training, LeCun said.

Full opinion : Metas AI chief doesnt think AI super intelligence is coming anytime soon, and is skeptical on quantum computing.

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Nvidia CEO Jensen Huang says artificial general intelligence will be achieved in five years – Business Insider India

Jensen Huang, the CEO of Nvidia one of the companies that is fueling the AI revolution predicts that we may be able to see artificial general intelligence, or AGI, within the next five years.

During the 2023 New York Times DealBook Summit, the outlet's Andrew Ross Sorkin asked Huang if he expected to see AGI in the next 10 years.

"By depending on how you define it, I think the answer is yes," Huang replied.

At the summit, Huang defined AGI as a piece of software or a computer that can complete tests which reflect basic intelligence that's "fairly competitive" to that of a normal human.

"I would say that within the next five years, you're gonna see, obviously, AIs that can achieve those tests," Huang said.

While the CEO didn't specify what exactly he thinks AGI would look like, Ross Sorkin asked if AGI would refer to AI that can design the chips Nvidia is currently making, to which Huang agreed.

"Will you need to have the same staff that designs them?" Sorkin asked as a follow-up, referring to the development of Nvidia's chips.

"In fact, none of our chips are possible today without AI," Huang said.

He specified that the H-100 chips he said Nvidia is shipping today were designed with help from a number of AIs.

"Software can't be written without AI, chips can't be designed without AI, nothing's possible," he concluded on the point of AI's potential.

Even though Huang said that AI is developing faster than he expected, he said the technology hasn't showed signs it can exhibit or surpass complex human intelligence just yet.

"There's no question that the rate of progress is high," he said. "But there's a whole bunch of things that we can't do yet."

"This multi-step reasoning that humans are very good at, AI can't do," he said.

The CEO's thoughts on AGI come as some business leaders sound the alarm about what they personally consider to be AGI.

Ilya Sutskever, cofounder of OpenAI, the company behind ChatGPT, said that AI in its most advanced form will create new problems such as a surge in fake news and cyberattacks, automated AI weapons, and even "infinitely stable dictatorships."

Ian Hogarth, who has invested in more than 50 AI companies, said that a future "God-like AI" would lead to the "obsolescence or destruction of the human race" if the rapid development of the technology isn't regulated.

Huang isn't the only tech leader who believes that AGI will be achieved in the near future.

In February, ex-Meta executive John Carmack said that AGI will be achieved by the 2030s and be worth trillions of dollars.

A few months later, Demis Hassabis, CEO and cofounder of DeepMind, Google's AI division, predicted that AI that is as powerful as the human brain would arrive within the next few years.

Nvidia didn't immediately respond to Business Insider's request for comment.

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A Different AI Scenario: AI and Justice in a Brave New World Part 1 – DataScienceCentral.com – Data Science Central

The recent upheavals at OpenAI and OpenAIs Chief Scientists apprehensions regarding the safety of AI have ignited a fresh wave of concerns and fears about the march towards Artificial General Intelligence (AGI) and Super Intelligence.

AI safety concerns the development of AI systems aligned with human values and do not cause harm to humans. Some of the AI safety concerns that Ilya Sutskever, OpenAIs Chief Scientist and one of the leading AI scientists behind ChatGPT, has expressed are:

Sutskever reportedly led the board coup at OpenAI that ousted CEO Sam Altman (Altman has since been reinstated at OpenAI) over these AI safety concerns, arguing that Altman was pushing for commercialization and growth too fast and too far without adequate attention to the safety and social impact of OpenAIs AI technologies.

The wild agitation about AI becoming misaligned with human goals or developing their own goals that conflict with ours is an overwhelmingly essential and critical topic. If you want a refresher on how AI can go wrong, watch the movie Eagle Eye. In the movie, an AI model (ARIIA) was designed to protect American lives, but that desired outcome wasnt counter-balanced against other desired outcomes to prevent unintended consequences.

With these concerns about AI models going rogue, Im going to present a multi-part series on what would be required to create a counter scenario AI and Justice in a Brave New World that not only addresses the AI concerns and fears but establishes a more impartial and transparent government, legal, and judicial system that promotes a fair playing field in which everyone can participate (have a voice), benefit, and prosper.

The Challenge. In this AI scenario, elected officials would still make societys laws and regulations. Unfortunately, these laws and regulations are not enforced fairly, consistently, or unbiasedly in todays legal and judicial systems. Some people and organizations use their money and influence to bend the laws and regulations in their favor, while others face discrimination and injustice because of their identity, background, or position in society. This creates a system of inequality and distrust that leads to social disenfranchisement and political extremism. We need to ensure that the laws and regulations are enforced with fairness, equity, consistency, and transparency for everyone.

The Solution. To address the unfair, inconsistent, and biased enforcement issue, we could build AI models that would be responsible for enforcing the laws and regulations legislated by elected officials. With AI in charge of enforcement, there will be no room for prejudice or biased decision-making when enforcing these laws and regulations. Instead, AI systems would ensure that the laws and regulations are applied equitably, fairly, and transparently to everyone. Finally, justice would truly be blind.

This requires that our legislators define the laws and regulations and collaborate across a diverse set of stakeholders to define the desired outcomes, the importance or value of these desired outcomes, and the variables and metrics against which adherence to those outcomes could be measured. This would necessitate substantial forethought in defining the laws and regulations and identifying the potential unintended consequences of these laws and regulations to ensure that the variables and metrics to flag, avoid, or mitigate those unintended consequences are clearly articulated. Yes, our legislators would need to think more carefully and holistically about including variables and metrics across a more robust set of measurement criteria that can help ensure that the AI models deliver more relevant, meaningful, responsible, and ethical outcomes (Figure 1).

Figure 1: Economic Value Definition Wheel

Here is the good news: those desired outcomes, their weights, and the metrics and variables against which the AI model will use to make its decisions and actions could be embedded into the AI Utility Function, the beating heart of the AI model.

The AI Utility Function is a mathematical function that evaluates different actions or decisions that the AI system can take and chooses the one that maximizes the expected utility or value of the desired outcomes.

Figure 2: The AI Utility Function

Analyzing the performance of the AI Utility Function provides a means to audit the AI models performance and provide the ultimate transparency into why the AI model made the decisions or actions that it did. However, several deficiencies exist today that limit the AI Utility Functions ability to enforce societys laws and regulations.

The table below outlines some AI Utility Function challenges and what AI engineers can do to address these challenges in designing and developing a healthy AI Utility Function.

Table 1: Addressing AI Utility Function Challenges

Maybe Im too Pollyannish. But I refuse to turn over control of this conversation to folks who are only focused on what could go wrong. Instead, lets consider those concerns and create something that addresses those concerns and creates something that benefits everyone.

Part 2 will examine a real-world case study about using AI to deliver consistent, unbiased, and fair outcomesrobot umpires. We will also discuss how we can create AI models that act more human. Part 3 will try to pull it all together by highlighting the potential of AI-powered governance to ensure AIs responsible and ethical application to societys laws and regulations.

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Unveiling OpenAI’s Project Q*: Navigating the AGI Superintelligence Landscape – Medium

A Closer Look at OpenAIs Pursuit of Artificial General Intelligence Amidst Leadership Turmoil

In the aftermath of OpenAI's recent upheaval, revelations about Project Q* the clandestine AGI project have surfaced, shedding light on the concerns that led to the ousting of former CEO Sam Altman.

Let's delve into the details of Project Q* and its potential implications for the future of artificial intelligence.

Project Q AGI: A Breakthrough in AI Reasoning*

Project Q*, pronounced 'Q-Star,' represents OpenAI's ambitious venture into developing a new AI model. Insider sources suggest that Q* could revolutionize artificial intelligence by significantly enhancing AI reasoning, bringing OpenAI closer to achieving a breakthrough in the development of AGI.

Unlike current generative AI models, AGI is envisioned as an autonomous system with human-level problem-solving capabilities, capable of cumulative learning. Q* has reportedly demonstrated such attributes by outperforming grade-school students in solving mathematical problems, showcasing reasoning skills beyond the scope of current AI technology.

The duration of Project Q*'s development and its potential applications remain unclear, but staff members and board members were briefed about the project before the recent leadership turmoil at OpenAI.

Ethical Concerns and Leadership Turmoil

However, concerns about the ethical implications of Project Q* were raised by several OpenAI researchers. A letter addressed to the board of directors highlighted potential dangers associated with the powerful algorithm, leading to Sam Altman's removal as CEO. The specific ethical concerns were not disclosed, but the move triggered a massive shake-up within the company.

Altman's subsequent reinstatement, prompted by the threat of a mass staff exodus, has left OpenAI with a revamped leadership structure. As Altman returns to the helm and Project Q* looms on the horizon, questions arise about the impact on those within the AI ecosystem.

Should We Be Concerned?

While Project Q* represents a significant stride toward realizing AGI, it raises questions about the ethical considerations and potential risks associated with rapid AI development. Altman's comparisons of AGI to a "median human" have stirred controversy, especially as concerns about AI's impact on job security escalate.

As OpenAI presses forward with AGI development, some fear that the company may prioritize commercial success over user and societal well-being. The balance between the positive outcomes of AGI and the potential risks it poses remains a topic of ongoing debate.

In this ever-evolving landscape of artificial intelligence, Project Q* stands as a testament to the delicate balance between innovation and responsibility. As OpenAI navigates these uncharted waters, the broader implications for the AI industry and society as a whole are yet to unfold.

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Rackspace runs out of cloud storage space at London region – DatacenterDynamics

Rackspace is running out of cloud storage in its LON region in London, UK.

The problems began on November 17, with customers reporting 503 errors when accessing files in the LON region, as first reported by The Register.

According to a post from Rackspace, the company's engineers increased storage capacity in the region a week later on November 24.

Rackspace also noted that the mitigation would take effect "over a number of days," though its website still cites cloud files as suffering from service degradation as of writing on December 4.

Since problems first arose, Rackspace has been providing its customers with regular updates. On November 28, the company said that engineers continued to work on the issue, and that customers should be able to access already uploaded content by may experience issues with new uploads.

On November 29, Rackspace said that its engineers were continuing to "monitor the frequency of errors" and that "further additional storage capacity" would be added in a "controlled manner."

In order to increase space, engineers had to replace the utilized drives and pull in inventory from Rackspace data centers across the globe.

"As part of this process, engineers began to utilize drives with higher capacity. Given the type of storage configuration in this environment, the drive replacement process necessitates that drives are replaced as a group, rather than individually," the post goes on to say.

Some of the drives that were installed did not work, however, with the configuration failing to recognize them (and thus the process having to be re-done).

Error rates were significantly reduced by December 1, but affected customers may "continue to experience impact." Rackspace's engineers continue to work on the problem.

A Rackspace spokesperson told the Reg that no data was lost in the incident and that it was only related to customers uploading new objects.

"Reasonably foreseeable storage needs were forecasted and accounted for. High demand for Rackspace's Object Storage services significantly exceeded those forecasts," added the spokesperson.

The LON region is hosted out of Rackspace's three London, UK, data centers: LON3, LON5, and LON8.

LON3 is a 5,000 sqm (53,820 sq ft) facility in Slough offering 3.1MW of power per floor plate. LON5 is a 6,600 sqm (71,040 sq ft) facility in Crawley, West Sussex, and LON8 is the company's largest London data center with 7,560 sqm (81,375 sq ft) of IT space and 3.6MW of capacity.

Rackspace also suffered an outage in its London region in May this year, with the LON5 and LON3 data centers affected. The outage extended to the company's APAC region, with Sydney and Hong Kong data centers impacted.

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How to use an external storage device with your iPhone – The Verge

While many of us rely on cloud storage these days for backing up photos, videos, and other files, every iPhone that can run iOS 17 also supports external storage devices: thats every iPhone back to 2018, so it includes the iPhone XR, the iPhone XS, and the iPhone XS Max.

Maybe you would rather manage file backups manually than via iCloud. (Its always worth remembering that cloud storage isnt completely infallible.) Maybe you need to access photos taken with a DSLR on your iPhone. Or maybe someone has given you a drive with files that youd like to move to your phone. There are a few reasons youd want to save files via an external storage device, and its not difficult to do.

With the arrival of the iPhone 15 Pro and iPhone 15 Pro Max, theres a new reason: you can record video on these handsets using Apples high-definition ProRes video format at 4K resolution and 120 frames per second but only if an external storage device is attached. If you want the best video quality, you need an external drive.

Heres what you need to know about which external drives you can plug into your iPhone and what happens when you do.

How to choose an external drive

The good news is that Apple isnt too picky when it comes to which drives will work with your iPhone. Most flash drives, portable SSDs, external HDDs, and memory card readers are going to function okay, but there are caveats: you need to make sure youve got the right cable in place, and you need to make sure the drive is sufficiently powered.

As a general rule of thumb, if a device doesnt need an external power source when its connected to a laptop, it wont need one with your iPhone but if it does have its own power cable (like large-capacity HDD drives do), then youll also need this when connecting it to your iPhone. Just bear in mind that if a drive isnt powered separately, its going to drain power from your iPhone in order to run.

You then need the right connecting cable: whatever the external device uses at one end, and then Lightning or USB-C at the other end. If you cant find the right cable (some external drives use proprietary connectors, for example), then an adapter might be needed, but this shouldnt affect the functionality of the device.

When it comes to drive formats, you do have to be specific. There must only be one partition on the drive, and it must be formatted as APFS, APFS (encrypted), macOS Extended (HFS Plus), exFAT (FAT64), FAT32, or FAT in order to work. If the drive or memory card youve got isnt in one of these formats, then youll need to reformat it via a computer.

When it comes to recording 4K resolution, 60fps ProRes video, external drives need to offer write speeds of at least 220MB per second and have a maximum power draw of 4.5W, so be sure to check the specs carefully. Ideally, get yourself a drive thats advertised for this purpose or that you know other users have had success with.

How to use an external drive

Assuming youve taken all of the above considerations into account, you should find that your phone shows up under Locations in the Browse tab of the Files app in iOS when you connect it to the external drive. If it doesnt, its not been identified it might be underpowered or set to an incompatible file format.

External drives will show up under the Locations heading.

Press and hold on any file or folder to bring up some options.

To access files on the external device:

The same options you get in Files for local iPhone storage are available for external storage too. Tap the three dots in the top-right corner, and youll be able to create a new folder, for example. Long-press on a file or folder, and you can duplicate or rename it.

To copy and move files from the external device:

You can select multiple files for copying or moving.

Photos and videos can be sent straight over to the Photos app.

Note that if your external device is set to read only, you can only copy files. If you try and move them, youll see Copy rather than Move on the final step.

For photos and videos, likely to be something a lot of people are working with in these scenarios, you can tap on the file to open it, then tap its file name (at the top) and choose Save to Photos to copy it over to your iPhones main gallery.

Its all relatively straightforward, and if youre already comfortable with the ins and outs of the Files app, you shouldnt have any trouble working with external devices, too.

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Probax Launches MSP Backup, Combining Veeam’s Enterprise-Grade Capabilities With The Efficiency Of Wasabi Hot … – Yahoo Finance

NEW YORK, NY / ACCESSWIRE / December 4, 2023 / Probax is delighted to announce the launch of MSP Backup and MSP Backup for Microsoft 365 (Standalone), in partnership with Veeam and Wasabi Technologies.

Developed for Managed Service Providers (MSPs) serving Small-to-Medium-Sized Businesses (SMBs), Probax's latest backup management platform brings together the market-leading capabilities of the Veeam Data Platform with the performance, scalability and affordability of Wasabi hot cloud storage.

Built upon the foundation of Probax's award-winning automation technology, MSP Backup empowers SMB-centric MSPs to deliver enterprise-grade data protection to their clients, sidestepping the complexity and operational costs typical of premium data protection solutions. In essence, Probax MSP Backup seamlessly bridges the gap between cutting-edge technology and simple, cost-effective cloud storage and deployment processes.

Key features include:

Simplified and Automated BaaS Deployment: Safeguard physical, virtual, and public cloud workloads with incredible ease and efficiency.

Powerful Data Protection for Microsoft 365 - simple and automated cloud-to-cloud protection, enhanced by our innovative automated testing and health verification tools to keep clients one step ahead of any data loss event. Available as part of MSP Backup, or as a standalone product.

Flexible Solutions Tailored to Your MSP - opt for all-encompassing All-In-One (AIO) plans, inclusive of Veeam licensing and Wasabi storage, or embrace true flexibility with our Bring-Your-Own (BYO) plans, allowing you to utilize your existing Veeam licensing and/or Wasabi Hot Cloud Storage.

Storage Flexibility for Global Needs - Select your ideal Wasabi storage region, per end-client, catering to data sovereignty and compliance prerequisites.

Enhanced Ransomware Protection - guarantee client data safety with end-to-end encryption and immutable backups.

Proactive Issue Management - harness our best-practices analyzer and resolver for peak operational efficiency. With our exclusive Veeam log analyzer and auto-remediation, pre-emptively fix issues before they escalate.

Unified Backup Management - effortlessly oversee data backup and management, with multi-client visibility, automation, and intuitive end-client self-service capabilities.

Enhanced Monitoring and Reporting - gain deeper insights into your data management and generate automated reports for your MSP and your clients.

Transparent monthly pricing with no lock in: enjoy clear, flexible and affordable pricing tailored to MSPs of ever size. Explore our diverse package bundles, free from typical vendor restrictions, and embrace full data portability if required.

Story continues

"Probax is fundamentally transforming data protection for MSPs and their end-user clients," said Tim Smith, CEO of Probax. "With Veeam being the undisputed leader in data protection, year after year Probax is recognized as #1 in Veeam innovation. We're delighted to launch the next phase of Probax's innovative proprietary technology to enable SMB-focused MSPs to connect Veeam's latest Direct to Object Storage capabilities with Wasabi's scalable and affordable cloud storage, while leveraging extensive benefits that add real value to their business."

"Veeam is on a mission to help every organization to not just bounce back from a data outage or loss but bounce forward. We do this by enabling them to achieve radical resilience through data security, data recovery, and data freedom," said Matt Kalmenson, VP Global Sales and GTM, Cloud and Service Providers (VCSP). "It's great to see Probax providing MSPs with a future-proofed integration between Veeam and Wasabi that enables them to help small to medium sized business to be resilient against any potential data loss or cyber attack."

"With the Direct to Object Storage functionality released in Veeam v12, MSPs can easily and efficiently deliver end-to-end immutability for their SMB clients thanks to Probax MSP Backup," said Laurie Mitchell, Senior Vice President, Global Partner Marketing at Wasabi Technologies. "Wasabi is excited to integrate into this world-first solution that seamlessly unifies Veeam's Enterprise strength with Wasabi's leading-edge cloud efficiency and high-performance."

Having completed the sale of its channel partner program and services in August 2023 to strategically focus on MSP backup software, MSP Backup is the evolution of Probax's award-winning Hive and Scout products.

Probax MSP Backup will be distributed via cloud marketplaces to streamline purchasing globally. No matter where Veeam MSP partners are in the world, they'll get MSP Backup running with a simple click.

To learn more about Probax MSP Backup, visit https://probax.io

### ENDS ###

For media enquiries, please contact:

Sam MeegahageCOO & Company Secretary sam.meegahage@probax.io+1 888-877-6229

About Probaxhttps://probax.io

Probax is a multi-award-winning data protection software provider for Managed Service Providers (MSPs). As a Platinum Veeam Cloud & Service Provider (VCSP), Probax proudly holds numerous VCSP Innovation and VCSP Partner of the Year awards from Veeam. Trusted by thousands of organizations across the globe, Probax delivers cutting-edge data protection and cloud storage solutions through innovative automation technology, simplifying operations and driving down costs. Learn more at probax.io or follow Probax on LinkedIn @probax.

About Veeam Softwarehttps://www.veeam.com

Veeam, the #1 global market leader in data protection and ransomware recovery, is on a mission to help every organization not just bounce back from a data outage or loss but bounce forward. With Veeam, organizations achieve radical resilience through data security, data recovery, and data freedom for their hybrid cloud. The Veeam Data Platform delivers a single solution for cloud, virtual, physical, SaaS, and Kubernetes environments that gives IT and security leaders peace of mind that their apps and data are protected and always available. Headquartered in Columbus, Ohio, with offices in more than 30 countries, Veeam protects over 450,000 customers worldwide, including 73% of the Global 2000, who trust Veeam to keep their businesses running. Radical Resilience starts with Veeam. Learn more at http://www.veeam.com or follow Veeam on LinkedIn @veeam-software and X @veeam.

About Wasabi Technologieshttps://wasabi.com/

Wasabi provides simple and affordable hot cloud storage for businesses all over the world. It enables organizations to store and instantly access an unlimited amount of data with no complex tiers or egress or API fees, delivering predictable costs that save money and industry leading security and performance businesses can count on. Trusted by customers worldwide, Wasabi has been recognized as one of technology's fastest-growing and most visionary companies. Created by Carbonite co-founders and cloud storage pioneers David Friend and Jeff Flowers, Wasabi is a privately held company based in Boston. Wasabi is a Proud Partner of the Boston Red Sox, and the Official Cloud Storage Partner of Liverpool Football Club and the Boston Bruins. Follow and connect with Wasabi on Linkedin, X, Facebook, Instagram, and The Bucket.

SOURCE: Probax

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Probax Launches MSP Backup, Combining Veeam's Enterprise-Grade Capabilities With The Efficiency Of Wasabi Hot ... - Yahoo Finance

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You Shouldn’t Rely Only on Cloud Storage to Back Up Your Files – Lifehacker

So much of our digital lives now exist solely in the cloud. Companies like Apple, Google, and Microsoft make it all too easy to upload our important files to cloud storage from the moment we set up our devices.

On one hand, that's a good thing: If something happens to your phone, tablet, or laptop, that doesn't mean you lose all your messages, photos, and documentsassuming all that info is properly backed up to the cloud. When you get your device fixed or replaced, you can sign back into your account and pull all that data down from the cloud without losing anything in the transition. In fact, I suspect that our collective data has never been more secured than it is today, thanks to the abundance and simplicity of cloud storage.

However, that's not to say that our backup situation is perfectfar from it. Relying solely on the cloud for data storage can have disastrous consequences.

You can see those consequences in play this week: Unfortunately, some Google Drive users are reporting missing files dating back to May 2023. Google has publicly acknowledged the issue and is investigating, but that investigation won't necessarily bring back any of the files that have vanished from these users' Google Drive accounts. (I guess they'd just have to take comfort in knowing that Google figured out why it happened?)

For your protection, one Google Drive team member did warn users not to click disconnect account on Google Drive for desktop, and to avoid deleting or moving data in the following folders:

...but that's not exactly a big comfort.

To be clear, this event is not common. Companies like Google, Apple, and Microsoft host a lot of data from millions, if not billions, of users, without regularly losing any of it. Still, if it can happen once, it can happen again. Perhaps Apple announces next year that iCloud had an issue, and three months worth of photo uploads are now gone. Maybe Microsoft loses OneDrive user's data next October. You can't assume these services will be infallible forever.

That isn't to say don't use them. I use iCloud for just about everything I do in the Apple ecosystem. However, for anything important, you need to make sure you have a secondary backup in case something goes wrong.

That's what's likely playing out with these affected Google Drive users right now: Some of them will have used their Google Drive accounts as a secondary backup for their files, keeping another backup of them stored on a hard drive or another cloud service. They'll be frustrated, but not panicked, as the lost files will still be in this alternate location. Unfortunately, any users that added these files to Google Drive and deleted them from their computer (or created them in Drive and never made a backup) are likely very unhappy this week.

So let's talk about a secure backup situation looks like. Say you have an archive of important documents stored on your computer. They only exist on your computer, so if your SSD goes belly-up, those files are toast. So, what can you do? One easy solution is to add a copy of these files to a secondary location, whether that's an external hard drive or cloud storage. Now, these files exist in two places separate from each other. If the SSD breaks, they're in the cloud. If the cloud glitches out, they're on your computer. If the files are super important, making additional backups ensures that should an unlikely disaster strike, you'll still have access. Having files stored in at least two separate locations is usually enough protection for most of us.

But let's say your computer is running out of storage, and you don't want to store the files locally anymore. Don't simply dump them on the cloud or on an external SSD, delete them from your PC, and call it a dayone backup is no backup, after all. You'll want to copy them to another cloud storage or external storage solution to ensure there are at least two copies of those files somewhere.

Where this starts to get a bit tricky is when using automated cloud storage options like iCloud. Apple makes it easy to connect all your data to iCloud so you never really need to think about constantly backing things up. When you take a photo, it stores on your iPhone and iCloud: When you send a message, same thing.

While you technically have two files in two separate locations, a service like iCloud is tied to your iPhone. If you delete a message from your iPhone, it helpfully deletes that text from the cloud too. If you delete a photo from your library, it gets deleted from iCloud (after a 30 day countdown, anyway). That's by design, and it means your files aren't totally secure against data loss.

What I like to do is rely on cloud storage solutions like iCloud for general backing up purposes (if I lose my iPhone, signing into a new one with my Apple ID brings all my data back), while also making a full backup of my devices to an external source. You can make a backup of your iPhone to iTunes or Finder on your computer, for example, while still having all your data stored in iCloud. That way, if you accidentally delete a thread of messages from your iPhone and iCloud at once, you can restore from your backup to get them back. The same goes for missing photos, notes, contacts, or anything else that gets lost.

While you can rely on full cloud backups for a similar approach, they tend to back up automatically and overwrite the previous backup, so your chances of restoring to a backup that also is missing the data you're looking for is high. The tradeoff with external backups, such as to a computer, is they're less frequent, so you may miss new messages and photos that were added since the last backup. It's a balancing act, but the point is to protect your data in as many ways as possible.

Photos are probably the thing I worry about losing most, and would be devastated if something happened to Apple's servers and I lost every photo I've ever taken with mu iPhone. So on my Mac, I choose the "Download Originals to this Mac" option in Photos' settings under iCloud. That way, my Mac always has a backup of the full-res photos and videos in my library, while my other devices can pull from the cloud as needed. Should something happen to the photos on Apple's end, my Mac has all my media saved securely.

This conversation can get a little in the weeds, especially as you start to focus on specific services. (OneDrive, Google Drive, iCloud, etc.) But the general rule of thumb for all backups is simple: You need to keep all of your important files stored in at least two separate locations. So long as you have another source to pull your files from, you can safely weather any disasterdigital or physicalthat befalls your data.

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