compute resources
compute resources on Beyond Market Intelligence: a running collection of 5 stories we have gathered and hand-picked because they are worth your time. Every post here touches on compute resources in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around compute resources, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Anthropic continues compute-gobbling streak in $45B deal with Nscale
Anthropic's demand for computing power continues to surge, evidenced by a substantial $45 billion agreement with infrastructure provider Nscale. This deal underscores Anthropic’s rapid expansion and commitment to advanced AI development. The company’s aggressive investment in compute resources reflects the escalating needs of modern AI models. For further insight into the broader trends driving this demand, explore our article, "Amazon just tripled its order of Nvidia chips over ‘surging demand’." This expansion signals a future-focused approach to AI infrastructure.
Nscale buys Anyscale as it seeks to own more of the AI compute stack
Nscale, a British AI neocloud provider, is strategically expanding its AI compute stack with the acquisition of Anyscale, a software startup specializing in scaling AI workloads. This move positions Nscale to offer a more comprehensive solution for businesses navigating the complexities of distributed AI. Anyscale's expertise in scaling across diverse infrastructure complements Nscale’s existing capabilities. As Murat Demirbas explored in "Parting the Clouds," this shift towards disaggregated systems is driven by evolving cloud economics and a demand for greater efficiency.
Anthropic launches Opus 5
Anthropic has released Opus 5, a significant advancement in large language model capabilities. Opus 5 distinguishes itself by offering a more cost-effective and less restrictive experience compared to its predecessor, Fable, making it the preferred choice for most applications. This represents a pragmatic step forward in accessible AI. For those interested in the underlying challenges of language model accuracy, explore our recent article, "Language Model Hallucination Evaluation with GraphEval," detailing a novel evaluation methodology.
Tried testing qwen 35b moe model on s26 ultra , without compromising on precision [R] ,[D]
Early testing reveals promising results for running a private Qwen 35B MoE LLM on an S26 Ultra, demonstrating a potential for approximately 90 tokens/second input processing and 8 tokens/second output generation after optimization. This achievement, realized through self-directed AI/ML exploration and leveraging available compute resources, highlights the accessibility of advanced model deployment. The author, without disclosing implementation details, is actively seeking collaborators to further test and refine this mobile runtime.
Meta’s Adam Mosseri says AI token budgets could soon be capped per engineer
Adam Mosseri, head of Instagram, anticipates a significant shift in how companies manage AI development. He predicts AI "token budgets" – essentially, the computational cost of using AI tools – will soon be capped per engineer, mirroring traditional expense controls like payroll. This move reflects a growing awareness of the escalating costs associated with AI innovation. For deeper insights into the broader conversation around AI governance, explore our article, "DeepMind CEO calls for an independent standards body to regulate frontier AI."