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Google Cloud
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google-cloud-4ccbc9ab·19 events·first seen Aliases: Google Cloud, Google Cloud C4, Google Cloud TPU, Google Cloud TPU v5e
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Recent events (19)
Claude Fable 5 and Mythos 5 reinstated after U.S. export control suspension and safety guardrail negotiations
Anthropic's Claude Fable 5 and Mythos 5 were suspended globally on June 12 following a U.S. Department of Commerce export control directive triggered by Amazon researchers demonstrating cyberattack capability extraction from Fable 5. After three weeks of negotiations, Anthropic implemented additional cybersecurity guardrails and restored access on July 1, with some users reporting degraded performance and over-censorship of legitimate queries. The episode marks the first time a government intervention led to the suspension of general public access to a frontier AI model, and sets a precedent for government review of top-tier model releases. OpenAI's GPT-5.6 family launches were also preceded by a government-mandated capability preview, suggesting an emerging pattern of regulatory scrutiny before wide deployment.
Audit finds GSO, SWE-Perf, and SWE-fficiency benchmarks unreliable for measuring coding agent progress
A new arXiv paper audits three prominent repository-level code-optimization benchmarks (GSO, SWE-Perf, SWE-fficiency) used to rank coding agents, finding significant reliability problems across all three. Reference patches satisfy validity rules in cross-machine replays for only 39/102 GSO tasks and 11/140 SWE-Perf tasks, and leaderboard rankings disagree on 9 of 28 pairwise comparisons depending on scoring rule choice. The authors also find that at least one public submission already matches or beats the reference patch on 85.3% of replay-valid tasks, suggesting aggregate leaderboard scores obscure the true frontier. The study raises substantive concerns about whether these benchmarks are providing reliable signal for claims of coding-agent capability progress.
Google releases agents-cli: CLI tooling for creating, evaluating, and deploying AI agents on Google Cloud
Google has published agents-cli, an open-source Python CLI tool and skills library designed to extend coding assistants with capabilities for building, evaluating, and deploying AI agents on Google Cloud. The repository is trending on GitHub with 3,948 total stars and 433 new stars today, suggesting meaningful developer interest. The tool positions Google Cloud as a deployment target for agent workflows and integrates with existing coding assistant toolchains.
Anthropic selects Google Cloud as primary cloud provider in early 2023 partnership
Anthropic announced Google Cloud as its primary cloud provider, with the partnership structured around co-developing AI computing systems using Google's GPU and TPU clusters for training, scaling, and deploying Anthropic's AI systems. CEO Dario Amodei framed the deal as enabling broader deployment of Claude and supporting Anthropic's safety-focused research infrastructure. The partnership predates Anthropic's later, larger investment relationship with Google and represents an early infrastructure anchor for the company.
Claude 3 Haiku and Sonnet reach general availability on Google Cloud Vertex AI
Anthropic announced general availability of Claude 3 Haiku and Claude 3 Sonnet on Google Cloud's Vertex AI platform, with Claude 3 Opus to follow in coming weeks. The deployment gives enterprise customers access to Claude models within their existing Google Cloud environment, with associated data governance and security benefits. Quora's Poe app is cited as an early adopter, reporting millions of daily messages exchanged via Claude-based bots.
Anthropic Offers Claude Enterprise and Government Access to All Three U.S. Government Branches for $1
Anthropic is offering Claude for Enterprise and Claude for Government to all three branches of the U.S. federal government — executive, legislative, and judiciary — for $1 for one year, removing cost barriers to AI adoption. The offer includes FedRAMP High-certified models, continuous frontier model updates, and technical support, accessible via existing GSA schedule procurement and infrastructure partnerships with AWS, Google Cloud, and Palantir. Existing government deployments cited include a $200M DoD agreement, 10,000 daily users at Lawrence Livermore National Laboratory, and a DC Department of Health multilingual services deployment. Anthropic is calling on other AI companies to make similar commitments to U.S. government access.
Anthropic Names Chris Ciauri as Managing Director of International, Announces Global Enterprise Expansion
Anthropic announced the appointment of Chris Ciauri as Managing Director of International, alongside expanded global offices in Dublin, London, Zurich, and Tokyo. The company disclosed run-rate revenue growth from $87M at the start of 2024 to over $5B in August 2025, with enterprise customers growing from under 1,000 to over 300,000 in two years. The announcement includes deployment case studies from NBIM, the European Parliament, Novo Nordisk, SK Telecom, Commonwealth Bank of Australia, Rakuten, United Airlines, and TELUS, illustrating broad international enterprise adoption of Claude.
Anthropic Launches Claude for Life Sciences with New Connectors, Agent Skills, and Benchmark Improvements
Anthropic has announced a dedicated life sciences offering for Claude, targeting the full drug discovery and commercialization pipeline rather than individual tasks. Claude Sonnet 4.5 achieves 0.83 on the Protocol QA benchmark (above the human baseline of 0.79) and shows improvements on BioRench bioinformatics evaluations. The launch includes new connectors to platforms such as Benchling, BioRender, PubMed, Synapse.org, and 10x Genomics, plus a new Agent Skills framework starting with a single-cell RNA QC skill. Anthropic is partnering with major consultancies (Deloitte, Accenture, KPMG, PwC) and cloud providers (AWS, Google Cloud), with Sanofi cited as a flagship enterprise customer.
Anthropic Expands Google Cloud TPU Usage to Up to One Million TPUs in Tens-of-Billions Deal
Anthropic announced a major expansion of its Google Cloud infrastructure, planning to use up to one million TPUs in a deal worth tens of billions of dollars, with over a gigawatt of capacity expected online in 2026. The expansion is driven by rapidly growing enterprise demand—Anthropic now serves over 300,000 business customers with large accounts growing nearly 7x year-over-year. Anthropic maintains a diversified compute strategy across Google TPUs, Amazon Trainium, and NVIDIA GPUs, while reaffirming its primary training partnership with Amazon via Project Rainier. The company also notes the expanded compute will support alignment research and responsible deployment at scale.
Data Points: OpenAI and Microsoft sever their exclusive relationship
This edition of The Batch covers several major AI industry developments: OpenAI has revised its partnership with Microsoft, ending exclusivity while retaining Microsoft as primary cloud partner through 2032 and gaining freedom to deploy on AWS and Google Cloud. DeepSeek released V4 model weights featuring 1M-token context and Huawei Ascend chip optimization, though it trails leading open and closed models on aggregate benchmarks. Google and Amazon are deepening investments in Anthropic with up to $40B and $25B respectively in funding-for-compute deals, and an agentic AI system autonomously designed a functional RISC-V CPU from a 219-word spec in 12 hours.
Anthropic raises $30 billion Series G at $380 billion valuation
Anthropic has closed a $30 billion Series G funding round led by GIC and Coatue, valuing the company at $380 billion post-money. The company reports $14 billion in annualized run-rate revenue growing over 10x annually for three consecutive years, with Claude Code alone generating over $2.5 billion in run-rate revenue and accounting for an estimated 4% of all GitHub public commits worldwide. Eight of the Fortune 10 are now Claude customers, and over 500 businesses spend more than $1 million annually. The round will fund frontier research, infrastructure expansion, and product development, and coincides with a confidential S-1 filing with the SEC.
Anthropic Launches Claude Partner Network with $100M Commitment
Anthropic is launching the Claude Partner Network, backed by an initial $100 million investment for 2026, to support organizations helping enterprises adopt Claude. The program includes training resources, dedicated technical support, joint market development funds, a new Claude Certified Architect certification, and a Code Modernization starter kit. Anthropic is also scaling its partner-facing team fivefold and opening a Services Partner Directory for enterprise buyers. Major consulting firms including Accenture, Deloitte, and Infosys are cited as early participants, with Accenture training 30,000 professionals on Claude.
Anthropic raises $65B in Series H funding at $965B post-money valuation
Anthropic has closed a $65 billion Series H round led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, valuing the company at $965 billion post-money. The company reports annualized run-rate revenue crossing $47 billion and highlights major compute expansion agreements with Amazon (up to 5 GW), Google/Broadcom (5 GW of TPU capacity), and SpaceX (Colossus GPU access). Strategic infrastructure partners Micron, Samsung, and SK hynix join the round alongside a broad syndicate of institutional investors. Funding is earmarked for safety and interpretability research, compute scaling, and product expansion including Claude Code and Cowork.
Accelerating Stable Diffusion XL Inference with JAX on Cloud TPU v5e
Hugging Face published a technical blog post detailing how to accelerate Stable Diffusion XL inference using JAX on Google Cloud TPU v5e hardware. The post covers the integration of JAX-based diffusion pipelines with TPU v5e, demonstrating performance gains from hardware-software co-optimization. This represents a practical deployment pattern for large image generation models on non-GPU accelerators.
Making thousands of open LLMs bloom in the Vertex AI Model Garden
Hugging Face and Google Cloud announced an integration bringing thousands of open-source LLMs from the Hugging Face Hub into Vertex AI Model Garden. This partnership allows developers to deploy open-weight models directly through Google Cloud's managed infrastructure. The collaboration represents a significant expansion of enterprise-accessible open model deployment options on a major cloud platform.
Google Cloud TPUs made available to Hugging Face users
Hugging Face has announced the availability of Google Cloud TPUs for its Inference Endpoints and Spaces products. This integration allows Hugging Face users to deploy and run models on TPU hardware directly through the Hugging Face platform. The move expands the hardware options available to developers and researchers working with large models on Hugging Face infrastructure.
Google Cloud C4 Brings a 70% TCO Improvement on GPT OSS with Intel and Hugging Face
A collaboration between Google Cloud, Intel, and Hugging Face demonstrates a 70% total cost of ownership (TCO) reduction when running open-source GPT-class models on Google Cloud's C4 instances powered by Intel Xeon processors. The post details inference economics for deploying open-weight LLMs on CPU-based cloud infrastructure rather than GPU instances. This represents a notable data point in the inference cost optimization space, particularly for organizations seeking lower-cost alternatives to GPU-based deployment.
Hugging Face and Google Cloud Announce New Partnership
Hugging Face has announced a new partnership with Google Cloud, framed around building an open AI future. The blog post outlines collaboration between the two organizations, though the body content is not provided. This partnership likely involves deeper integration of Hugging Face's open-weights model hub and tooling with Google Cloud's infrastructure and services.
Pixtral Large: Mistral AI's 124B Open-Weights Multimodal Model
Mistral AI released Pixtral Large, a 124B open-weights multimodal model built on Mistral Large 2, featuring a 1B parameter vision encoder and 128K context window supporting at least 30 high-resolution images. The model claims state-of-the-art results on MathVista, DocVQA, and ChartQA, outperforming GPT-4o and Gemini-1.5 Pro on several benchmarks, and leads the LMSys Vision Leaderboard among open-weights models by ~50 ELO points. Simultaneously, Mistral updated its text model to Mistral Large 24.11 with improvements in long-context understanding, function calling, and RAG/agentic workflows. Note: the model has since been deprecated and replaced by newer Mistral vision models.