{"id":24283,"date":"2026-06-16T09:18:11","date_gmt":"2026-06-16T09:18:11","guid":{"rendered":"https:\/\/globalnewstoday.uk\/index.php\/2026\/06\/16\/ineffable-intelligence-strikes-google-cloud-deal-for-vera-rubin-gpu-power-computer-weekly\/"},"modified":"2026-06-16T09:18:11","modified_gmt":"2026-06-16T09:18:11","slug":"ineffable-intelligence-strikes-google-cloud-deal-for-vera-rubin-gpu-power-computer-weekly","status":"publish","type":"post","link":"https:\/\/globalnewstoday.uk\/index.php\/2026\/06\/16\/ineffable-intelligence-strikes-google-cloud-deal-for-vera-rubin-gpu-power-computer-weekly\/","title":{"rendered":"Ineffable Intelligence strikes Google Cloud deal for Vera Rubin GPU power – Computer Weekly"},"content":{"rendered":"

francis bonami – Fotolia
Frontier artificial intelligence (AI) startup Ineffable Intelligence has selected Google Cloud as its exclusive infrastructure partner to develop the world\u2019s first \u201csuperlearner\u201d. The partnership comes hot on the heels of a $1.1bn (\u00a3860m) seed round announcement in April.
The deal, announced at the Google Cloud Summit in London this week, will result in the startup deploying<\/a> one of the world\u2019s largest clusters of Nvidia Vera Rubin NVL72 GPUs<\/a> (A5X) to power research into systems that can discover knowledge through their own experience rather than human-provided datasets.
Ineffable Intelligence was founded by David Silver, the UCL professor and former Google DeepMind<\/a> scientist who led the AlphaGo<\/a> and AlphaZero projects. The company is aiming to bypass the \u201chuman data ceiling\u201d that it said currently limits large language models (LLMs) such as ChatGPT and Claude.
April\u2019s record-setting seed round \u2013 the largest in European history \u2013 values the London-based company at $5.1bn and includes backing from Sequoia, Lightspeed and the UK government\u2019s Sovereign AI Fund.
Unlike traditional AI training which relies on static data, Ineffable\u2019s \u201csuperlearner\u201d is designed for experience-based learning where the model generates, evaluates and learns from its own actions in real time. This operational shift places fundamentally different demands on infrastructure and requires the high-performance networking and tightly integrated training systems such as those provided by Google\u2019s AI Hypercomputer architecture.
According to David Silver, CEO and founder of Ineffable Intelligence, the decision to partner with Google Cloud was driven by the need for access to orchestrated hardware and software rather than just access to raw compute.
\u201cWe evaluated the space and chose Google Cloud as the best fit for our reinforcement learning infrastructure,\u201d said Silver. \u201cWe aren\u2019t just looking for processors; we are building a resilient and scalable environment to make \u2018first contact\u2019 with superintelligence \u2013 AI that transcends human limitations in science, mathematics and technology.\u201d
The deployment utilises Google Cloud\u2019s full-stack AI Hypercomputer, incorporating Jupiter networking and optimised storage to handle the massive computational scale required for reinforcement learning. This architecture moves away from standard \u201cbox of chips\u201d provisioning to provide a systems-level optimisation that ensures researchers can focus on breakthroughs in autonomous learning rather than infrastructure bottlenecks.
The project further consolidates London as a critical global centre for frontier AI research, with the startup\u2019s mission expected to attract premier engineering talent to the UK. The backing from the Department for Science, Innovation and Technology (DSIT) and the Sovereign AI Fund reflects a strategic move by the UK government<\/a> to scale British-built technology that can generate new knowledge in medicine, engineering and science.
Industry observers have noted that Ineffable\u2019s \u201canti-LLM\u201d strategy represents a high-stakes scientific bet. While reinforcement learning proved successful in closed-system game environments like Go<\/em> and StarCraft<\/em>, applying trial-and-error algorithms to the vast complexity of human knowledge and scientific discovery remains an unproven frontier.
By bypassing human data avoids the inherent flaws and biases of engines designed for mimicry, the \u201csuperlearner\u201d path may lack the immediate utility and predictability of current generative AI systems. The technical challenge of ensuring safety and ethical guardrails in a system that discovers knowledge independently of human input will be a big hurdle as the lab attempts to rediscover and then transcend human inventions.
In May, Ineffable Intelligence announced collaboration with Nvidia on the engineering requirements for its massive GPU cluster, to ensure the environment can scale to support the next generation of reinforcement learning algorithms. Silver believes this superlearning capability will eventually discover profound intellectual breakthroughs in language and mathematics.
The startup was founded in late 2025 and has become a cornerstone of Europe\u2019s AI ecosystem. 
CIOs call them bean counters. CFOs see enthusiastic spenders. Both caricatures are wrong and dangerous. Modern organizations need…
Data center construction is growing, leading infrastructure providers to adopt a community-first AI infrastructure approach, …
Stay up to date with the latest U.S. tech news, IPOs and executive moves shaping the industry each week.
Cyber ranges, once the domain of national defense agencies, are becoming more widely accessible. In the public sector, the state …
CISA’s updated directive for federal agencies compresses mandatory patching timelines to just three days for high-risk flaws, …
Your latest cybersecurity incident might not be a threat actor, but an internal AI agent doing what it’s authorized to do. …
Demand for computational power optimized for AI is driving the rise of the neocloud, but can the transport infrastructure keep up…
Cisco Live 2026 showcased advancements in AI infrastructure, emphasizing AI-ready data centers, digital resilience and the new …
AI’s growth is pushing data centers to their energy limits. Cisco’s Energy Networking Systems is a three-pillar approach to …
As workloads increase, AI data centers face thermal challenges. Effective cooling strategies that combine air and liquid methods …
Hyperscale data centers can hold thousands of servers and process much more data than an enterprise facility. However, they can …
AI operating models in data centers define decision-making and risk management. Balancing machine autonomy and human control is …
Data integration in modern architectures faces eight challenges, from preserving lineage at scale to serving AI and analytics …
The open source protocol modernizes collaboration by enabling teams to share AI assets such as AI models and agent skills across …
AI development initiatives hinge on the quality and completeness of the underlying data, but research from BARC shows that many …
\t\t\t \t\t\t\t\t©2026 TechTarget<\/a>, Inc. d\/b\/a Informa TechTarget.<\/span> \t\t\t\t\tAll Rights Reserved. <\/p>\n

\t\t\t\t \t\t\t\t\tPrivacy Policy<\/a> \t\t\t\t<\/span>
\t\t\t\t \t\t\t\t\tCookie Preferences <\/a>
\t\t\t\t<\/span> \t\t\t\t \t\t\t\t\tCookie Preferences <\/a>
\t\t\t\t<\/span> \t\t\t\t \t\t\t\t\tDo Not Sell or Share My Personal Information<\/a><\/span> \t\t\t\t<\/p>\n

source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

francis bonami – FotoliaFrontier artificial intelligence (AI) startup Ineffable Intelligence has selected Google Cloud as its exclusive infrastructure partner to develop the world\u2019s first \u201csuperlearner\u201d. The partnership comes hot on the heels of a $1.1bn (\u00a3860m) seed round announcement in April.The deal, announced at the Google Cloud Summit in London this week, will result in […]<\/p>\n","protected":false},"author":1,"featured_media":24284,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-24283","post","type-post","status-publish","format-standard","has-post-thumbnail","category-technology"],"_links":{"self":[{"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/posts\/24283","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/comments?post=24283"}],"version-history":[{"count":0,"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/posts\/24283\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/media\/24284"}],"wp:attachment":[{"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/media?parent=24283"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/categories?post=24283"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/tags?post=24283"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}