The UK has published the world’s first global guidelines for securing AI systems against cyberattacks. The new guidelines aim to ensure AI technology is developed safely and securely.
The guidelines were developed by the UK’s National Cyber Security Centre (NCSC) and the US’ Cybersecurity and Infrastructure Security Agency (CISA). They have already secured endorsements from 17 other countries, including all G7 members.
The guidelines provide recommendations for developers and organisations using AI to incorporate cybersecurity at every stage. This “secure by design” approach advises baking in security from the initial design phase through development, deployment, and ongoing operations.
Specific guidelines cover four key areas: secure design, secure development, secure deployment, and secure operation and maintenance. They suggest security behaviours and best practices for each phase.
The launch event in London convened over 100 industry, government, and international partners. Speakers included reps from Microsoft, the Alan Turing Institute, and cyber agencies from the US, Canada, Germany, and the UK.
NCSC CEO Lindy Cameron stressed the need for proactive security amidst AI’s rapid pace of development. She said, “security is not a postscript to development but a core requirement throughout.”
The guidelines build on existing UK leadership in AI safety. Last month, the UK hosted the first international summit on AI safety at Bletchley Park.
US Secretary of Homeland Security Alejandro Mayorkas said: “We are at an inflection point in the development of artificial intelligence, which may well be the most consequential technology of our time. Cybersecurity is key to building AI systems that are safe, secure, and trustworthy.
“The guidelines jointly issued today by CISA, NCSC, and our other international partners, provide a common-sense path to designing, developing, deploying, and operating AI with cybersecurity at its core.”
The 18 endorsing countries span Europe, Asia-Pacific, Africa, and the Americas. Here is the full list of international signatories:
UK Science and Technology Secretary Michelle Donelan positioned the new guidelines as cementing the UK’s role as “an international standard bearer on the safe use of AI.”
“Just weeks after we brought world leaders together at Bletchley Park to reach the first international agreement on safe and responsible AI, we are once again uniting nations and companies in this truly global effort,” adds Donelan.
The guidelines are now published on the NCSC website alongside explanatory blogs. Developer uptake will be key to translating the secure by design vision into real-world improvements in AI security.
(Photo by Jan Antonin Kolar on Unsplash)
See also: Paul O’Sullivan, Salesforce: Transforming work in the GenAI era
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Inflection, an AI startup aiming to create “personal AI for everyone”, has announced a new large language model dubbed Inflection-2 that beats Google’s PaLM 2.
Inflection-2 was trained on over 5,000 NVIDIA GPUs to reach 1.025 quadrillion floating point operations (FLOPs), putting it in the same league as PaLM 2 Large. However, early benchmarks show Inflection-2 outperforming Google’s model on tests of reasoning ability, factual knowledge, and stylistic prowess.
On a range of common academic AI benchmarks, Inflection-2 achieved higher scores than PaLM 2 on most. This included outscoring the search giant’s flagship on the diverse Multi-task Middle-school Language Understanding (MMLU) tests, as well as TriviaQA, HellaSwag, and the Grade School Math (GSM8k) benchmarks:
The startup’s new model will soon power its personal assistant app Pi to enable more natural conversations and useful features.
Thrilled to announce that Inflection-2 is now the 2nd best LLM in the world! 💚✨🎉
— Mustafa Suleyman (@mustafasuleyman) November 22, 2023
It will be powering https://t.co/1RWFB5RHtF very soon. And available to select API partners in time. Tech report linked…
Come run with us!https://t.co/8DZwP1Qnqo
Inflection said its transition from NVIDIA A100 to H100 GPUs for inference – combined with optimisation work – will increase serving speed and reduce costs despite Inflection-2 being much larger than its predecessor.
An Inflection spokesperson said this latest model brings them “a big milestone closer” towards fulfilling the mission of providing AI assistants for all. They added the team is “already looking forward” to training even larger models on their 22,000 GPU supercluster.
Safety is said to be a top priority for the researchers, with Inflection being one of the first signatories to the White House’s July 2023 voluntary AI commitments. The company said its safety team continues working to ensure models are rigorously evaluated and rely on best practices for alignment.
With impressive benchmarks and plans to scale further, Inflection’s latest effort poses a serious challenge to tech giants like Google and Microsoft who have so far dominated the field of large language models. The race is on to deliver the next generation of AI.
(Photo by Johann Walter Bantz on Unsplash)
See also: Anthropic upsizes Claude 2.1 to 200K tokens, nearly doubling GPT-4
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San Francisco-based AI startup Anthropic has unveiled Claude 2.1, an upgrade to its language model that boasts a 200,000-token context window—vastly outpacing the recently released 120,000-token GPT-4 model from OpenAI.
The release comes on the heels of an expanded partnership with Google that provides Anthropic access to advanced processing hardware, enabling the substantial expansion of Claude’s context-handling capabilities.
Our new model Claude 2.1 offers an industry-leading 200K token context window, a 2x decrease in hallucination rates, system prompts, tool use, and updated pricing.
— Anthropic (@AnthropicAI) November 21, 2023
Claude 2.1 is available over API in our Console, and is powering our https://t.co/uLbS2JNczH chat experience. pic.twitter.com/T1XdQreluH
With the ability to process lengthy documents like full codebases or novels, Claude 2.1 is positioned to unlock new potential across applications from contract analysis to literary study.
The 200K token window represents more than just an incremental improvement—early tests indicate Claude 2.1 can accurately grasp information from prompts over 50 percent longer than GPT-4 before the performance begins to degrade.
Claude 2.1 (200K Tokens) – Pressure Testing Long Context Recall
— Greg Kamradt (@GregKamradt) November 21, 2023
We all love increasing context lengths – but what's performance like?
Anthropic reached out with early access to Claude 2.1 so I repeated the “needle in a haystack” analysis I did on GPT-4
Here's what I found:… pic.twitter.com/B36KnjtJmE
Anthropic also touted a 50 percent reduction in hallucination rates for Claude 2.1 over version 2.0. Increased accuracy could put the model in closer competition with GPT-4 in responding precisely to complex factual queries.
Additional new features include an API tool for advanced workflow integration and “system prompts” that allow users to define Claude’s tone, goals, and rules at the outset for more personalised, contextually relevant interactions. For instance, a financial analyst could direct Claude to adopt industry terminology when summarising reports.
However, the full 200K token capacity remains exclusive to paying Claude Pro subscribers for now. Free users will continue to be limited to Claude 2.0’s 100K tokens.
As the AI landscape shifts, Claude 2.1’s enhanced precision and adaptability promise to be a game changer—presenting new options for businesses exploring how to strategically leverage AI capabilities.
With its substantial context expansion and rigorous accuracy improvements, Anthropic’s latest offering signals its determination to compete head-to-head with leading models like GPT-4.
(Image Credit: Anthropic)
See also: Paul O’Sullivan, Salesforce: Transforming work in the GenAI era
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with Digital Transformation Week.
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AI experts don’t stay jobless for long, as evidenced by Microsoft’s quick recruitment of former OpenAI CEO Sam Altman and Co-Founder Greg Brockman.
Altman, who was recently ousted by OpenAI’s board for reasons that have had no shortage of speculation, has found a new home at Microsoft. The announcement came after unsuccessful negotiations with OpenAI’s board to reinstate Altman.
I deeply regret my participation in the board's actions. I never intended to harm OpenAI. I love everything we've built together and I will do everything I can to reunite the company.
— Ilya Sutskever (@ilyasut) November 20, 2023
Microsoft CEO Satya Nadella – who has long expressed confidence in Altman’s vision and leadership – revealed that Altman and Brockman will lead Microsoft’s newly established advanced AI research team.
Nadella expressed excitement about the collaboration, stating, “We’re extremely excited to share the news that Sam Altman and Greg Brockman, together with colleagues, will be joining Microsoft to lead a new advanced AI research team. We look forward to moving quickly to provide them with the resources needed for their success.”
I’m super excited to have you join as CEO of this new group, Sam, setting a new pace for innovation. We’ve learned a lot over the years about how to give founders and innovators space to build independent identities and cultures within Microsoft, including GitHub, Mojang Studios,…
— Satya Nadella (@satyanadella) November 20, 2023
The move follows Altman’s abrupt departure from OpenAI. Former Twitch CEO Emmett Shear has been appointed as interim CEO at OpenAI.
Today I got a call inviting me to consider a once-in-a-lifetime opportunity: to become the interim CEO of @OpenAI. After consulting with my family and reflecting on it for just a few hours, I accepted. I had recently resigned from my role as CEO of Twitch due to the birth of my…
— Emmett Shear (@eshear) November 20, 2023
Altman’s role at Microsoft is anticipated to build on the company’s strategy of allowing founders and innovators space to create independent identities, similar to Microsoft’s approach with GitHub, Mojang Studios, and LinkedIn.
Microsoft’s decision to bring Altman and Brockman on board coincides with the development of its custom AI chip. The Maia AI chip, designed to train large language models, aims to reduce dependence on Nvidia.
While Microsoft reassures its commitment to the OpenAI partnership, valued at approximately $10 billion, it emphasises ongoing innovation and support for customers and partners.
As Altman and Brockman embark on leading Microsoft’s advanced AI research team, the industry will be watching closely to see what the high-profile figures can do with Microsoft’s resources at their disposal. The industry will also be observing whether OpenAI can maintain its success under different leadership.
(Photo by Turag Photography on Unsplash)
See also: Amdocs, NVIDIA and Microsoft Azure build custom LLMs for telcos
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The Department of Homeland Security’s (DHS) Cybersecurity and Infrastructure Security Agency (CISA) has launched its inaugural Roadmap for AI.
Viewed as a crucial step in the broader governmental effort to ensure the secure development and implementation of AI capabilities, the move aligns with President Biden’s recent Executive Order.
“DHS has a broad leadership role in advancing the responsible use of AI and this cybersecurity roadmap is one important element of our work,” said Secretary of Homeland Security Alejandro N. Mayorkas.
“The Biden-Harris Administration is committed to building a secure and resilient digital ecosystem that promotes innovation and technological progress.”
Following the Executive Order, DHS is mandated to globally promote AI safety standards, safeguard US networks and critical infrastructure, and address risks associated with AI—including potential use “to create weapons of mass destruction”.
“In last month’s Executive Order, the President called on DHS to promote the adoption of AI safety standards globally and help ensure the safe, secure, and responsible use and development of AI,” added Mayorkas.
“CISA’s roadmap lays out the steps that the agency will take as part of our Department’s broader efforts to both leverage AI and mitigate its risks to our critical infrastructure and cyber defenses.”
CISA’s roadmap outlines five strategic lines of effort, providing a blueprint for concrete initiatives and a responsible approach to integrating AI into cybersecurity.
CISA Director Jen Easterly highlighted the dual nature of AI, acknowledging its promise in enhancing cybersecurity while acknowledging the immense risks it poses.
“Artificial Intelligence holds immense promise in enhancing our nation’s cybersecurity, but as the most powerful technology of our lifetimes, it also presents enormous risks,” commented Easterly.
“Our Roadmap for AI – focused at the nexus of AI, cyber defense, and critical infrastructure – sets forth an agency-wide plan to promote the beneficial uses of AI to enhance cybersecurity capabilities; ensure AI systems are protected from cyber-based threats; and deter the malicious use of AI capabilities to threaten the critical infrastructure Americans rely on every day.”
The outlined lines of effort are as follows:
“This is a step in the right direction. It shows the government is taking the potential threats and benefits of AI seriously. The roadmap outlines a comprehensive strategy for leveraging AI to enhance cybersecurity, protect critical infrastructure, and foster collaboration. It also emphasises the importance of security in AI system design and development,” explains Joseph Thacker, AI and security researcher at AppOmni.
“The roadmap is pretty comprehensive. Nothing stands out as missing initially, although the devil is in the details when it comes to security, and even more so when it comes to a completely new technology. CISA’s ability to keep up may depend on their ability to get talent or train internal folks. Both of those are difficult to accomplish at scale.”
CISA invites stakeholders, partners, and the public to explore the Roadmap for Artificial Intelligence and gain insights into the strategic vision for AI technology and cybersecurity here.
(Photo by Oliver Günther on Unsplash)
See also: Google expands partnership with Anthropic to enhance AI safety
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with Cyber Security & Cloud Expo and Digital Transformation Week.
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Quantum AI is the next frontier in the evolution of artificial intelligence, harnessing the power of quantum mechanics to propel capabilities beyond current limits.
GlobalData highlights a 14 percent compound annual growth rate (CAGR) increase in related patent filings from 2020 to 2022, underscoring the vast influence and potential of quantum AI across industries.
Adarsh Jain, Director of Financial Markets at GlobalData, emphasises the transformative nature of Quantum AI:
“Quantum AI represents a transformative advancement in technology. As we integrate quantum principles into AI algorithms, the potential for speed and efficiency in processing complex data sets grows exponentially. This not only enhances current AI applications but also opens new possibilities across various industries.
The surge in patent filings is a testament to its growing importance and the pivotal role it will play in the future of AI-driven solutions.”
Kiran Raj, Practice Head of Disruptive Tech at GlobalData, highlights that while AI thrives on data and computational power, the inner workings of the technology often remain unclear. Quantum computing not only promises increased power but also potentially provides greater insights into these workings, paving the way for AI to transcend its current capabilities.
GlobalData’s Disruptor Intelligence Center analysis reveals significant synergy between quantum computing and AI innovations, leading to revolutionary impacts in various industries. Notable collaborations include HSBC and IBM in finance, Menten AI’s healthcare advancements, Volkswagen’s partnership with Xanadu for battery simulation, Intel’s Quantum SDK, and Zapata’s collaboration with BMW.
Raj concludes with a note of caution: “Quantum AI offers the potential for smarter, faster AI systems, but its adoption is complex and demands caution. The technology is still in its early stages, requiring significant investment and expertise.
“Key challenges include the need for advanced cybersecurity measures and ensuring ethical AI practices as we navigate this promising yet intricate landscape.”
(Photo by Anton Maksimov 5642.su on Unsplash)
See also: Google expands partnership with Anthropic to enhance AI safety
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with Cyber Security & Cloud Expo and Digital Transformation Week.
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GitLab is empowering DevSecOps with new AI-powered capabilities as part of its latest releases.
The recent GitLab 16.6 November release includes the beta launch of GitLab Duo Chat, a natural-language AI assistant. Additionally, the GitLab 16.7 December release sees the general availability of GitLab Duo Code Suggestions.
David DeSanto, Chief Product Officer at GitLab, said: “To realise AI’s full potential, it needs to be embedded across the software development lifecycle, allowing DevSecOps teams to benefit from boosts to security, efficiency, and collaboration.”
GitLab Duo Chat – arguably the star of the show – provides users with invaluable insights, guidance, and suggestions. Beyond code analysis, it supports planning, security issue comprehension and resolution, troubleshooting CI/CD pipeline failures, aiding in merge requests, and more.
As part of GitLab’s commitment to providing a comprehensive AI-powered experience, Duo Chat joins Code Suggestions as the primary interface into GitLab’s AI suite within its DevSecOps platform.
GitLab Duo comprises a suite of 14 AI capabilities:
In response to the evolving needs of development, security, and operations teams, Code Suggestions is now generally available. This feature assists in creating and updating code, reducing cognitive load, enhancing efficiency, and accelerating secure software development.
GitLab’s commitment to privacy and transparency stands out in the AI space. According to the GitLab report, 83 percent of DevSecOps professionals consider implementing AI in their processes essential, with 95 percent prioritising privacy and intellectual property protection in AI tool selection.
The State of AI in Software Development report by GitLab reveals that developers spend just 25 percent of their time writing code. The Duo suite aims to address this by reducing toolchain sprawl—enabling 7x faster cycle times, heightened developer productivity, and reduced software spend.
Kate Holterhoff, Industry Analyst at Redmonk, commented: “The developers we speak with at RedMonk are keenly interested in the productivity and efficiency gains that code assistants promise.
“GitLab’s Duo Code Suggestions is a welcome player in this space, expanding the available options for enabling an AI-enhanced software development lifecycle.”
(Photo by Pankaj Patel on Unsplash)
See also: OpenAI battles DDoS against its API and ChatGPT services
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with Cyber Security & Cloud Expo and Digital Transformation Week.
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Google has announced the expansion of its partnership with Anthropic to work towards achieving the highest standards of AI safety.
The collaboration between Google and Anthropic dates back to the founding of Anthropic in 2021. The two companies have closely collaborated, with Anthropic building one of the largest Google Kubernetes Engine (GKE) clusters in the industry.
“Our longstanding partnership with Google is founded on a shared commitment to develop AI responsibly and deploy it in a way that benefits society,” said Dario Amodei, co-founder and CEO of Anthropic.
“We look forward to our continued collaboration as we work to make steerable, reliable and interpretable AI systems available to more businesses around the world.”
Anthropic utilises Google’s AlloyDB, a fully managed PostgreSQL-compatible database, for handling transactional data with high performance and reliability. Additionally, Google’s BigQuery data warehouse is employed to analyse vast datasets, extracting valuable insights for Anthropic’s operations.
As part of the expanded partnership, Anthropic will leverage Google’s latest generation Cloud TPU v5e chips for AI inference. Anthropic will use the chips to efficiently scale its powerful Claude large language model, which ranks only behind GPT-4 in many benchmarks.
The announcement comes on the heels of both companies participating in the inaugural AI Safety Summit (AISS) at Bletchley Park, hosted by the UK government. The summit brought together government officials, technology leaders, and experts to address concerns around frontier AI.
Google and Anthropic are also engaged in collaborative efforts with the Frontier Model Forum and MLCommons, contributing to the development of robust measures for AI safety.
To enhance security for organisations deploying Anthropic’s models on Google Cloud, Anthropic is now utilising Google Cloud’s security services. This includes Chronicle Security Operations, Secure Enterprise Browsing, and Security Command Center, providing visibility, threat detection, and access control.
“Anthropic and Google Cloud share the same values when it comes to developing AI–it needs to be done in both a bold and responsible way,” commented Thomas Kurian, CEO of Google Cloud.
“This expanded partnership with Anthropic – built on years of working together – will bring AI to more people safely and securely, and provides another example of how the most innovative and fastest growing AI startups are building on Google Cloud.”
Google and Anthropic’s expanded partnership promises to be a critical step in advancing AI safety standards and fostering responsible development.
(Photo by charlesdeluvio on Unsplash)
See also: Amazon is building a LLM to rival OpenAI and Google
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Amazon is reportedly making substantial investments in the development of a large language model (LLM) named Olympus.
According to Reuters, the tech giant is pouring millions into this project to create a model with a staggering two trillion parameters. OpenAI’s GPT-4, for comparison, is estimated to have around one trillion parameters.
This move puts Amazon in direct competition with OpenAI, Meta, Anthropic, Google, and others. The team behind Amazon’s initiative is led by Rohit Prasad, former head of Alexa, who now reports directly to CEO Andy Jassy.
Prasad, as the head scientist of artificial general intelligence (AGI) at Amazon, has unified AI efforts across the company. He brought in researchers from the Alexa AI team and Amazon’s science division to collaborate on training models, aligning Amazon’s resources towards this ambitious goal.
Amazon’s decision to invest in developing homegrown models stems from the belief that having their own LLMs could enhance the attractiveness of their offerings, particularly on Amazon Web Services (AWS).
Enterprises on AWS are constantly seeking top-performing models and Amazon’s move aims to cater to the growing demand for advanced AI technologies.
While Amazon has not provided a specific timeline for the release of the Olympus model, insiders suggest that the company’s focus on training larger AI models underscores its commitment to remaining at the forefront of AI research and development.
Training such massive AI models is a costly endeavour, primarily due to the significant computing power required.
Amazon’s decision to invest heavily in LLMs is part of its broader strategy, as revealed in an earnings call in April. During the call, Amazon executives announced increased investments in LLMs and generative AI while reducing expenditures on retail fulfillment and transportation.
Amazon’s move signals a new chapter in the race for AI supremacy, with major players vying to push the boundaries of the technology.
(Photo by ANIRUDH on Unsplash)
See also: OpenAI introduces GPT-4 Turbo, platform enhancements, and reduced pricing
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OpenAI has announced a slew of new additions and improvements to its platform, alongside reduced pricing, aimed at empowering developers and enhancing user experience.
Following yesterday’s leak of a custom GPT-4 chatbot creator, OpenAI unveiled several other key features during its DevDay that promise a transformative impact on the landscape of AI applications:
OpenAI’s latest announcements mark a significant stride in the company’s mission to democratise AI technology, empowering developers to create innovative and intelligent applications across various domains.
See also: OpenAI set to unveil custom GPT-4 chatbot creator
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with Digital Transformation Week.
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As OpenAI gears up for its inaugural developer conference, some major announcements appear to have leaked.
The leak includes screenshots and videos showcasing a custom chatbot creator utilising GPT-4. This advanced version of ChatGPT boasts features such as web browsing and data analysis, enhancing its capabilities significantly.
According to the leaked information, OpenAI will introduce a new marketplace where users can share their custom chatbots or explore creations made by others.
The leaker, a Twitter user named CHOI, provided a summary of the anticipated updates:
More than 90% rumors:
— CHOI (@arrakis_ai) November 2, 2023
– Gizmo announcement.
– Features:
* Sandbox – Provides an environment to import, test, and modify existing chatbots.
* Custom Actions – Define additional functionality for your chatbot using OpenAPI specifications
* Knowledge… pic.twitter.com/XB1FYgliLE
Additionally, SEO tools developer Tibor Blaho shared a video demonstrating the user interface of the new feature—revealing a GPT Builder option that enables users to input prompts and create bespoke chatbots.
The GPT Builder interface offers a user-friendly experience, allowing individuals to select a default language, tone, and writing style for their chatbot. Users can configure the bot by providing a name, description, and instructions, along with the ability to upload files for a personalised knowledgebase.
The tool also allows toggling of features such as web browsing and image generation; giving users unprecedented control over their chatbot’s capabilities. Custom actions can be added to enhance the bot’s functionality.
Here is a short video preview of the new ChatGPT Prototype – Gizmo V8.
— Tibor Blaho (@btibor91) November 5, 2023
The feature previously known as "Magic Maker" for creating new GPTs is now called "GPT Builder".
It seems that the "Welcome Message" has been removed, and GPT Builder can now also generate profile pictures… pic.twitter.com/Rfbl8dIXvX
Furthermore, the leaked information suggests that OpenAI plans to launch an enterprise-level “Team” subscription plan with both “Flexible” and “Annual” options.
The Team plan reportedly offers benefits such as unlimited high-speed GPT-4 usage and extended context capabilities, with a pricing structure of $25 per user, per month for the annual subscription and $30 per month for the non-annual option, requiring a minimum of three users.
OpenAI has recently rolled out several beta features for ChatGPT, including live web results, image generation, and voice chat.
The company is set to provide a preview of the new tools at the upcoming developer conference, offering the tech community a firsthand look at the future of conversational AI.
(Photo by Jem Sahagun on Unsplash)
See also: NIST announces AI consortium to shape US policies
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Dell, Intel, and the University of Cambridge have jointly announced the deployment of the Dawn Phase 1 supercomputer.
This cutting-edge AI supercomputer stands as the fastest of its kind in the UK today. It marks a groundbreaking fusion of AI and high-performance computing (HPC) technologies, showcasing the potential to tackle some of the world’s most pressing challenges.
Dawn Phase 1 is the cornerstone of the recently launched UK AI Research Resource (AIRR), demonstrating the nation’s commitment to exploring innovative systems and architectures.
This supercomputer brings the UK closer to achieving the exascale; a computing threshold of a quintillion (10^18) floating point operations per second. To put this into perspective, the processing power of an exascale system equals what every person on Earth would calculate in over four years if they were working non-stop, 24 hours a day.
Operational at the Cambridge Open Zettascale Lab, Dawn utilises Dell PowerEdge XE9640 servers, providing an unparalleled platform for the Intel Data Center GPU Max Series accelerator. This collaboration ensures a diverse ecosystem through oneAPI, fostering an environment of choice.
The system’s capabilities extend across various domains, including healthcare, engineering, green fusion energy, climate modelling, cosmology, and high-energy physics.
Adam Roe, EMEA HPC technical director at Intel, said:
“Dawn considerably strengthens the scientific and AI compute capability available in the UK and it’s on the ground and operational today at the Cambridge Open Zettascale Lab.
Dell PowerEdge XE9640 servers offer a no-compromises platform to host the Intel Data Center GPU Max Series accelerator, which opens up the ecosystem to choice through oneAPI.
I’m very excited to see the sorts of early science this machine can deliver and continue to strengthen the Open Zettascale Lab partnership between Dell Technologies, Intel, and the University of Cambridge, and further broaden that to the UK scientific and AI community.”
Dawn Phase 1 is not just a standalone achievement; it’s part of a broader strategy.
The collaborative endeavour aims to deliver a Phase 2 supercomputer in 2024, promising tenfold performance levels. This progression would propel the UK’s AI capability, strengthening the successful industry partnership.
The supercomputer’s technical foundation lies in Dell PowerEdge XE9640 servers, renowned for their versatile configurations and efficient liquid cooling technology. This innovation ensures optimal handling of AI and HPC workloads, offering a more effective solution than traditional air-cooled systems.
Tariq Hussain, Head of UK Public Sector at Dell, commented:
“Collaborations like the one between the University of Cambridge, Dell Technologies and Intel, alongside strong inward investment, are vital if we want the compute to unlock the high-growth AI potential of the UK. It is paramount that the government invests in the right technologies and infrastructure to ensure the UK leads in AI and exascale-class simulation capability.
It’s also important to embrace the full spectrum of the technology ecosystem, including GPU diversity, to ensure customers can tackle the growing demands of generative AI, industrial simulation modelling and ground-breaking scientific research.”
As the world awaits the full technical details and performance numbers of Dawn Phase 1 – slated for release in mid-November during the Supercomputing 23 (SC23) conference in Denver, Colorado – the UK stands at the precipice of a transformative era in scientific and AI research.
This collaboration between industry giants and academia not only accelerates research discovery but also propels the UK’s knowledge economy to new heights.
(Image Credit: Joe Bishop for Cambridge Open Zettascale Lab)
See also: UK paper highlights AI risks ahead of global Safety Summit
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with Digital Transformation Week.
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