Growth and Expansion Plans

Since its acquisition by DigitalBridge in 2017, Vantage Data Centers has expanded its global footprint, now operating 25 sites across North America, EMEA, and Asia Pacific, with a total capacity of more than 3GW. The recent equity investment will support growth in North America and EMEA and foster new partnerships with global hyperscalers.

Key Developments and Upcoming Projects

• Japan Data Center Campus: Vantage has commenced construction on its first data center campus in Japan, which will offer up to 68MW of capacity to support cloud and high-density deployments.
• Dublin Expansion: The company plans to invest over €1 billion in a new data center campus in Dublin, expected to be operational by the end of the year with 52MW of IT capacity.
• Zurich Data Center: Vantage has announced the development of a second data center campus in Zurich, designed to meet increased performance and energy demands driven by AI and high-performance computing (HPC) workloads.

Our very own Arpen Tucker, senior business development manager, UK, discusses the rising trend of cloud repatriation and hybrid cloud solutions in his new article with @IntDataCentres. https://t.co/nz3iE3dPR8 #DataCenter #Colocation #CloudRepatriation #HybridCloud pic.twitter.com/wwQyfqoMFn

— Vantage Data Centers (@VantageDC) June 17, 2024

Insights from Industry Leaders

Jon Mauck, Senior Managing Director at DigitalBridge, commented:

“DigitalBridge is excited to continue its support of Vantage, a proven infrastructure partner for the world’s top cloud and technology platforms.”

Sureel Choksi, President and CEO of Vantage, added:

“The confidence that DigitalBridge, Silver Lake, and other investors have in Vantage and our ability to execute, as evidenced by an investment round that was significantly oversubscribed, is a testament to our team’s track record of delivering for our customers. This new funding from the world’s leading digital infrastructure and technology investors, along with numerous co-investors, is a game changer that uniquely positions Vantage to capitalize on the incredible AI and cloud opportunity in front of us.”

Recent Financial Moves

In addition to this equity investment, Vantage secured approximately $813 million last month from Ares Management’s Infrastructure Debt and Alternative Credit strategies, CDPQ, and Schroders Capital’s Private Debt and Credit Alternatives to expand its EMEA platform. This financing adds to the company’s aggressive expansion plans to meet the soaring demand for data infrastructure.

Ares, @LaCDPQ and @Schroders Capital have agreed to provide up to EUR 750 million in financing to expand @VantageDC's EMEA platform. More on this transaction in the full release. #PrivateCredit

— Ares Management (@ares_management) May 16, 2024

Preparing for the Future of Cloud and AI

With this substantial investment, Vantage Data Centers is well-positioned to accelerate its development of next-generation infrastructure, supporting the rapid adoption of cloud and AI technologies across the globe. The commitment from leading investors underscores Vantage’s pivotal role in the digital transformation landscape.

We encourage our readers to share their thoughts and comments on Vantage Data Centers’ ambitious plans and the impact of such investments on the future of cloud and AI infrastructure.

Photo by Christina @ wocintechchat.com on Unsplash

The post Vantage Data Centers Secures $9.2 Billion Equity Investment to Drive Global Expansion first appeared on Tech Insight.

ChatGPT, Claude, and Perplexity — three totally different AI services — are all down right now.

What the actual F is going on? pic.twitter.com/dUkVhSehGG

— Benjamin De Kraker 🏴‍☠️ (@BenjaminDEKR) June 4, 2024

The Incident: ChatGPT Encounters Outage

Early today, businesses using ChatGPT found themselves in a bit of a bind. Conversations abruptly terminated, errors popped up where smooth interactions once flowed, and frustration bubbled among users worldwide. It was a wake-up call, reminding us all that even the most advanced AI systems aren’t immune to glitches.

The Outage

• Start Time: Issues began surfacing around 2:30 AM ET (7:30 AM BDT, 4:30 PM AEST).
• Impact: Users encountered errors when trying to access ChatGPT, had conversations abruptly terminated, and received incomplete or nonsensical responses.

OpenAI’s Response: Prioritizing Transparency and Resolution

• The company promptly acknowledged the problem and started investigating the cause.
• Real-time updates were provided on their status page to keep users informed.
• Engineers actively worked to identify the root cause and restore service.

Lessons Learned: Balancing Reliability with Future Growth

What’s the takeaway for businesses navigating the AI landscape? It’s a reminder to balance innovation with stability. While hiccups happen, OpenAI’s proactive response shines a light on the importance of transparency and rapid problem-solving.

Today’s outage serves as a gentle nudge for businesses to ensure their AI infrastructure can weather storms. It’s not just about what AI can do; it’s about ensuring it can do it reliably, day in and day out.

Broader Implications: The Need for Infrastructure Redundancy

As businesses reflect on today’s events, there’s a broader conversation brewing. Are we investing enough in infrastructure redundancy? Are our AI systems resilient enough to handle unexpected challenges?

It’s a call to action, prompting businesses to reassess their AI strategies and ensure they’re equipped to handle the unexpected. Because in today’s digital landscape, adaptability is key to success.

Software developers when #ChatGPT is down be like pic.twitter.com/Xaz91u2X9x

— Federico Jack (@fedejack) June 4, 2024

How was your Business Impacted?

As the dust settles on today’s ChatGPT outage, there’s a silver lining in the cloud. OpenAI’s response and positive attitude reminds us all of the importance of transparency, resilience, and adaptability in the face of adversity. How did today’s outage impact your business? What lessons did you learn? Share your thoughts below!

The post Popular AI Language Model ChatGPT Experiences Global Outage first appeared on Tech Insight.

Harnessing Geothermal Energy for Sustainable Development

The geothermal data center will be located in Olkaria, an area rich in geothermal resources, making it ideal for a sustainable energy project. G42 will lead the initial investment and oversee the construction of the facility. In its first phase, the data center is expected to have a capacity of 100 megawatts and become operational within two years.

Boosting East Africa’s Digital Infrastructure

Microsoft’s participation will establish a new East African region for its Azure products, significantly enhancing service offerings for local customers. Currently, the closest Microsoft data center for Kenyan users is in South Africa. This new facility will reduce latency and improve service reliability, supporting the Kenyan government’s plan to move more services to the cloud.

The data center complex will provide artificial intelligence services and extend cloud services to neighboring countries like Uganda, Rwanda, and Tanzania.

“This is the single biggest step to advance the availability of digital technology in, I think, the country’s history,” said Microsoft President Brad Smith, according to Bloomberg. He further explained:

“This shows what G42 and Microsoft have the opportunity to do together that neither one of us could do separately. I frankly think it shows that what the United States and the United Arab Emirates can do together that helps bring technology to new countries, especially across Africa.”

Geopolitical and Economic Implications

The announcement coincides with Kenyan President William Ruto’s state visit to Washington, hosted by U.S. President Joe Biden. This initiative is part of a broader effort by the U.S. to strengthen ties with Africa amidst increasing investments from Chinese companies like Huawei Technologies Co.

President William Ruto
and First Lady Mama Rachel Ruto
arrive at Andrews Air Force Base, Washington D.C, received by First Lady of the United States of America Jill Biden with full ceremonial state honors, as the 3-day State Visit to the U.S officially kicks off today. pic.twitter.com/VX9phxVUNW

— Sam Terriz (@Terriz_Sam) May 22, 2024

In April, Microsoft committed $1.5 billion to G42, facilitated by the Biden administration to limit Chinese access to AI technology. As part of this agreement, G42 has agreed to sever ties with Chinese companies and adopt U.S. technology, including Microsoft’s Azure, for its AI applications.

How Will This Geothermal Data Center Impact East Africa?

The geothermal-powered data center in Kenya by Microsoft and G42 is a groundbreaking step towards sustainable development and digital transformation in East Africa. This initiative not only enhances the region’s digital infrastructure but also exemplifies international collaboration for technological advancement. We encourage our readers to share their thoughts and comments on this significant development in the tech world.

Photo by Amani Nation on Unsplash

The post Microsoft and G42 to Launch $1B Geothermal-Powered Data Center in Kenya first appeared on Tech Insight.

Elon Musk’s start-up, xAI, is gearing up to build a massive Nvidia-powered supercomputer by late next year. This ambitious project, which aims to support the next version of its AI chatbot, Grok, was revealed by Musk in a recent presentation to investors. Musk’s xAI Nvidia supercomputer is expected to be operational by autumn 2024, with plans to collaborate with Oracle to achieve this groundbreaking feat.

Supercomputer Plans

According to the investor presentation, xAI plans to leverage a substantial number of Nvidia H100 graphics accelerator chips to power the supercomputer. Musk stated that the system would utilize at least four times the number of clustered Nvidia H100 chips compared to the largest systems in existence today. He compared the project to Tesla’s “gigafactory” plants, dubbing it “the gigafactory of compute.”

Earlier this year, Musk mentioned that the Grok 2 large language model (LLM) required 20,000 H100 chips to train, and the upcoming Grok 3 would need 100,000 of these in-demand chips. This scale highlights the immense computational power required for advanced AI development.

Funding and Ambitions

xAI recently closed a significant $6 billion funding round, raising the start-up’s post-money valuation to $24 billion. This funding underscores the high expectations and potential impact of Musk’s xAI Nvidia supercomputer in the competitive AI landscape. xAI aims to rival generative AI systems from notable companies like OpenAI, which Musk co-founded, and Google, both of which have gained substantial popularity among users.

Recruitment and Controversy

Musk’s vision for xAI extends beyond technological advancements. In a social media post on X (formerly Twitter), Musk invited individuals to join xAI, emphasizing the mission of understanding the universe through a “maximally rigorous pursuit of the truth.” He wrote, “Join xAI if you believe in our mission of understanding the universe, which requires maximally rigorous pursuit of the truth, without regard to popularity or political correctness.”

Join xAI if you believe in our mission of understanding the universe, which requires maximally rigorous pursuit of the truth, without regard to popularity or political correctness https://t.co/jWEGDDnVk1

— Elon Musk (@elonmusk) May 27, 2024

However, this recruitment call drew humor and skepticism from Meta Platforms’ chief AI scientist Yann LeCun. LeCun, who has a history of public feuds with Musk, mocked the post, saying, “Join xAI if you can stand a boss who: – Claims that what you are working on will be solved next year (no pressure). – Claims that what you are working on will kill everyone and must be stopped or paused (yay, vacation for 6 months!). – Claims to want a ‘maximally rigorous pursuit of the truth’ but spews crazy-ass conspiracy theories on his own social platform.”

LeCun’s comments refer to Musk’s controversial statements, including his claim that artificial general intelligence could arrive by next year and his estimate of a 10 to 20 percent chance that AI could destroy humanity. Musk also signed a letter last year advocating for a six-month pause in advanced AI development and has shared posts that seemed to endorse conspiracy theories.

Bold Vision or Overambitious Dream?

Elon Musk’s xAI Nvidia supercomputer project represents a significant step forward in the realm of AI technology, promising unparalleled computational power and potential advancements in AI development. As the project unfolds, it will be fascinating to see how xAI competes with other major players in the field.

We’d love to hear your thoughts on this ambitious project. Do you think Musk’s vision will propel the growth of AI? Share your comments below!

Photo by Adrien on Unsplash

The post Musk’s xAI Plans Massive Nvidia Supercomputer for 2024 first appeared on Tech Insight.

Common Cybersecurity Risks

Digital transformation expands the attack surface of businesses by introducing a multitude of devices and platforms into corporate networks. This complexity provides cybercriminals with numerous entry points.

“The rapid expansion of connected technologies is identified as the top security risk.“

Businesses must recognize these vulnerabilities and implement comprehensive security strategies to protect against potential threats.

In recent years, manufacturing has experienced a digital transformation, fuelling growth, efficiency and profitability. Yet this trend has created a range of #cybersecurity issues.

This new white paper outlines three guiding principles to support #manufacturing and supply chain… pic.twitter.com/g1aN94ll9M

— World Economic Forum (@wef) April 29, 2024

IoT Vulnerabilities

IoT devices are often targets for cyber-attacks due to inadequate security measures like weak passwords, outdated firmware, and unsecured data transmissions. The convenience and efficiency gains from these devices are undeniable, yet their integration brings significant risks. It’s crucial to enforce stringent security protocols to shield networks from unauthorized access through these gateways.

Insider Threats

Not all security risks come from outside; insider threats, either malicious or accidental, are a significant concern. Errors such as misconfigured settings or inappropriate access privileges can lead to severe data breaches. Reports indicate that “30 percent of CISOs view insider threats as a major risk,” highlighting the need for comprehensive training and stringent access controls to mitigate these risks.

Cybersecurity Measures

To combat the vulnerabilities introduced by digital transformation, businesses must adopt proactive and dynamic security measures:

Implement Strong Access Controls

Limiting access based on user roles can dramatically reduce risks. By ensuring employees only access necessary data, businesses minimize potential unauthorized exposures. This strategy is vital as negligent insiders are a primary security threat in many organizations.

Develop a Comprehensive Incident Response Plan

Preparedness is key to mitigating damage from cyber incidents. A robust incident response plan enables a swift action, containing breaches and minimizing data loss. Regular drills and updates to this plan ensure that all team members know their roles in an emergency, making it possible to react quickly and effectively.

Use Network Segmentation

Isolating critical data through network segmentation can prevent the spread of breaches. By creating clear boundaries within networks, businesses can control how data is accessed and shared, significantly reducing the likelihood of widespread cyber attacks.

Secure IoT Devices

Regular firmware updates and the avoidance of default passwords are simple yet effective ways to enhance the security of IoT devices. Such measures ensure that devices are less vulnerable to attacks and that the network remains secure.

Locking Down the Future…

Navigating the cybersecurity landscape in digital transformation is an ongoing journey that requires vigilance and adaptation. By understanding the risks and implementing strategic defenses, businesses can protect themselves from the evolving threats in the digital world. Are there specific strategies you’ve found effective in managing cybersecurity risks? Share your experiences and insights in the comments below to help others fortify their defenses!

Photo by Headway on Unsplash

The post How to Minimize Cybersecurity Threats During Digital Transformation first appeared on Tech Insight.

Bridging the Gap: Technology and Security

In discussing the partnership, Sal Sferlazza, founder and CEO of NinjaOne, highlighted the communication barriers that often exist between security and IT teams.

“This integration will result in better coordination and reduced mean time to resolution for incidents,” – explained Sferlazza.

Daniel Bernard, chief business officer at CrowdStrike, also weighed in, noting the inclusive nature of the threat landscape:

“Smaller organizations face the same threat landscape as their larger enterprise counterparts. They want the real thing. They’re coming in and they’re asking for CrowdStrike.”

Enhanced Security Features

By combining CrowdStrike’s AI-driven threat detection with NinjaOne’s comprehensive IT management tools, the partnership delivers a security solution that is not only top-tier but also easy to deploy and manage. This is crucial for organizations that may lack extensive in-house cybersecurity expertise but still face significant digital threats.

Simplified Management and Operations

The integrated platform offers a significant advantage by allowing IT teams to manage security threats and IT management tasks from a single dashboard. This streamlined approach not only speeds up the response times to security incidents but also enhances the coordination between IT and security teams within an organization.

Cost-Effectiveness and Industry Implications

The collaboration between NinjaOne and CrowdStrike reduces the need for multiple security tools, thereby decreasing vulnerability and security gaps. The consolidation of various security functions into a unified platform not only simplifies the process but also cuts overall costs and efforts involved in maintaining a secure IT environment.

Cybersecurity Made Simpler and Smarter

The NinjaOne and CrowdStrike partnership marks a significant step forward in the cybersecurity industry, offering solutions that are both innovative and accessible. As businesses continue to navigate a complex world of digital threats, partnerships like this one are crucial for developing the tools necessary to protect sensitive data and infrastructure.

We invite you to share your thoughts and experiences with cybersecurity solutions. Have you faced challenges similar to those described here? How do you see integrated solutions impacting your security strategy? Let us know your views!

Photo by Tom Roberts on Unsplash

The post How the NinjaOne and CrowdStrike Partnership Simplifies Cybersecurity first appeared on Tech Insight.

Details of the Court Ruling

The 5th U.S. Circuit Court of Appeals in New Orleans found that the lower court judge’s determination concerning IBM’s liability was erroneous. U.S. Circuit Judge Edith Jones, writing for the three-judge panel, stated that AT&T, one of BMC’s largest clients, had chosen to switch to IBM’s software independently, thereby undermining BMC’s position. The appellate court’s decision highlights a critical review of the contractual agreements and the independence of client decisions in such disputes.

Statements from IBM and BMC

In response to the reversal, an IBM spokesperson expressed their satisfaction with the judgment, stating, “The company acted in good faith in every aspect of this engagement and is grateful the court agrees.” On the other hand, a BMC spokesperson declined to comment on the recent development. The contrasting reactions underscore the significant impact of this decision on both entities.

Implications for IBM and BMC

This reversal not only alleviates a substantial financial burden on IBM but also reinforces its standing and operations in the highly competitive mainframe software market. For BMC, this ruling could prompt a reassessment of their legal strategies and client management practices, especially considering the non-displacement provisions that were supposedly breached.

Industry Impact

The IBM BMC lawsuit reversal has broader implications for the software industry, particularly concerning how contracts are structured and enforced. Companies may need to consider more stringent guidelines and clearer terms in their agreements to avoid similar disputes. Additionally, the ruling could influence how clients engage with software providers, emphasizing the importance of independence in vendor selection and contract negotiations.

Legal Analysis

Legal experts argue that this case could set a precedent for how similar cases are approached by the courts in the future. The emphasis on the independence of the client’s choice in this ruling might lead to more careful considerations of client autonomy in contractual relationships.

Future Outlook

While this ruling closes a chapter for IBM and BMC, it opens up discussions on several fronts regarding the conduct of software companies and their business practices. It also sets a legal precedent that might influence future software litigation.

Judgment Day: Reversing a Billion-Dollar Decision

The reversal of this $1.6 billion judgment is more than just a financial relief for IBM; it’s a beacon for legal standards in tech contracts and client relationships. We encourage our readers to share their thoughts on this development. How do you think this ruling will affect the future of software litigation and contract management in tech industries? Engage with us in the comments below and let us know your perspective.

The post IBM Wins Appeal in $1.6B BMC Software Lawsuit: A Turning Point in Tech Litigation first appeared on Tech Insight.

Virtual Venue, Real Challenges

Last November, the AI community was abuzz at Bletchley Park, a historical site synonymous with technological breakthroughs. Leaders from around the globe converged to forge the “Bletchley Declaration,” a foundational yet broad pact concerning AI’s future and safety. However, as Martha Bennett, a senior analyst at Forrester, highlights:

“There are some radically different approaches…it will be difficult to move beyond what was agreed at Bletchley Park.”

The landscape of AI safety, once unified in urgency, now contends with divergent views on how to proceed.

The Hype Versus Reality

The summit’s agenda this year expanded beyond existential risks to include pressing concerns such as data scarcity, environmental impacts of AI development, and market concentration. Francine Bennett of the Ada Lovelace Institute pointed out, “The policy discourse around AI has expanded to include other important concerns, such as market concentration and environmental impacts.”

Sam Altman, CEO of OpenAI, suggested that the future of AI hinges on breakthroughs in energy efficiency, hinting at a shift in focus from regulatory measures to technological innovations. However, skepticism remains, as Professor Jack Stilgoe of University College London remarked:

“The failure of the technology to live up to the hype is inevitable.”

His observation reflects a growing consensus that while AI may offer new possibilities, it may not fulfill every bold prediction laid out by its most prominent advocates.

A Quieter Assembly

Unlike the star-studded guest list of the previous year, this year’s summit saw a notable decline in attendance. With key figures like Elon Musk and notable tech regulators absent, the event struggled to match the previous year’s allure. The U.S. Department of State confirmed its participation through representatives, albeit without specifying who would attend. Meanwhile, governments from Canada, the Netherlands, and Brazil cited scheduling conflicts, reflecting a broader trend of waning international interest.

Looking Ahead

Despite these setbacks, a British government spokesperson remained optimistic:

“The AI Seoul Summit will build on the momentum of Bletchley Park to deliver further progress on AI safety, innovation and inclusivity, moving us all closer to a world where AI is improving our lives across the board.”

As the summit closed, the future of global AI safety summits seems to hang in a delicate balance between enthusiasm and pragmatic realism. The community remains hopeful yet cautious, understanding that while not every summit will capture the magic of the first, each serves as a stepping stone toward a safer integration of AI into society.

Your Thoughts in the Digital Think Tank

As the world grapples with the multifaceted challenges presented by AI, the dialogue initiated at these summits is more crucial than ever. What are your thoughts on the evolving landscape of AI regulation and safety? Do you believe international summits like these are effective in shaping a safe AI future? Share your views in the comments below on how we navigate this pivotal technological frontier.

Photo by Mikael Kristenson on Unsplash

The post AI Safety Summit 2024 Faces Challenges Amid Lower Turnout first appeared on Tech Insight.

The CHIPS and Science Act: A Closer Look

This groundbreaking initiative aims to counter the burgeoning reliance on foreign-made chips, which was glaringly evident during the supply chain disruptions amid the COVID-19 pandemic. The U.S. Congress’s allocation of over $127 billion underscores a national priority: to revive and enhance domestic semiconductor production capabilities. “America invented these chips, but over time, we went from producing nearly 40% of the world’s capacity to close to 10%, and none of the most advanced chips, exposing us to significant economic and national security vulnerabilities,” remarked President Joe Biden, emphasizing the strategic importance of this initiative.

TSMC and Samsung’s Plans Unveiled

TSMC Arizona, a subsidiary of the Taiwan-based chipmaking behemoth, is set to channel the $6.6 billion into its burgeoning chip fabrication complex, housing three factories. The first unit, focusing on 4 nm node chips, targets production commencement in the first half of 2025, catering to next-gen 5G/6G smartphones, autonomous vehicles, and AI datacenter servers. Meanwhile, Samsung’s ambition encompasses the construction of four facilities near Austin, Texas, demonstrating the company’s commitment to expanding its manufacturing footprint in the U.S.

Impact on the Semiconductor Industry

The CHIPS Act represents a pivotal moment for the U.S. semiconductor industry. By ensuring a significant portion of chip manufacturing migrates stateside, the Act not only aims to mitigate the risks associated with overreliance on foreign supply chains but also seeks to recapture America’s leadership in the tech arena. “With TSMC’s commitment in Arizona, now totaling $65 billion, the U.S. is expected to support as much as 20% of the global semiconductor supply by 2030,” highlights the substantial impact of these investments.

Challenges Ahead

Despite the optimism, questions linger regarding the rapid pace of technological evolution. The industry is left pondering whether chips manufactured on the 4 nm and 3 nm nodes will retain their relevance by the time TSMC’s 2 nm chips enter production in 2030. Additionally, the capacity for chip packaging within the U.S. remains an area of uncertainty, signaling hurdles that lie in the path of realizing full-cycle semiconductor production on American soil.

Final Thoughts

The CHIPS and Science Act marks a significant milestone in America’s quest to reclaim its stature in the global semiconductor industry. By infusing billions into domestic production through giants like TSMC and Samsung, the U.S. is laying the groundwork for a future where it is less susceptible to external shocks and geopolitical tensions. As this ambitious plan unfolds, we invite our readers to share their thoughts and perspectives. How do you see the CHIPS Act shaping the future of technology and global trade dynamics? Let us know your thoughts!

Photo by Anne Nygård on Unsplash

The post U.S. CHIPS Act Bolsters Domestic Chip Production with $6.6B for TSMC and Samsung first appeared on Tech Insight.

The expansion of artificial intelligence is closely tied to the development of more powerful computing capabilities. Within the AI community, there’s a shared understanding that significant progress hinges on rethinking computing infrastructure. One emerging strategy involves leveraging light for GPU communication, a development that could significantly alter supercomputer architecture.

Breaking the Bottleneck with Beams

The traditional reliance on electrical signals for data transfer, especially in the context of training AI algorithms, presents notable limitations. By transitioning to optical links, data can move between chips at unprecedented speeds, eliminating the conversion bottleneck and facilitating a leap in computational efficiency.

Connecting the Dots with Light

The introduction of Lightmatter’s Passage technology exemplifies this new direction. By employing optical interconnects, Passage enables direct, high-bandwidth communication between GPUs. This innovation is not merely an enhancement; it represents a paradigm shift in how data centers could operate, promising to support AI training endeavors on a scale previously deemed unattainable.

The Energy Efficiency Equation

One of the most compelling arguments for this shift is the potential for significant energy savings. Traditional electrical interconnects are not only slower but also more power-hungry. Optical communication, by contrast, offers a pathway to more sustainable, large-scale AI operations, aligning with the increasing global focus on energy efficiency.

Future-Proofing AI Infrastructure

As we stand on the brink of what could be the next major advancement in AI, the industry’s move towards integrating light-based communication technologies reflects a broader trend of innovation and adaptation. This approach doesn’t just solve current challenges; it lays the groundwork for future developments, potentially accelerating our journey towards realizing the full promise of artificial general intelligence.

In Summary

The journey towards advanced AI supercomputers is marked by a continuous quest for improvement and innovation. By embracing the power of light, the field is poised to overcome existing barriers, setting the stage for a new era of computing that is faster, more efficient, and ready to tackle the next frontier of artificial intelligence challenges.

Photo by Yura Macro on Unsplash

The post To Build a Better AI Supercomputer, Embrace the Light first appeared on Tech Insight.