Vinci4D Inc. closed a $250 million Series B funding round at a $1.5 billion valuation for its engineering simulation platform. It says the platform can run simulations with hundreds of millions of degrees of freedom in a few minutes instead of several hours or days. The funding supports faster simulation workflows after design changes and expansion from chip thermal simulation to vehicles, aircraft, and satellites.
Dell Technologies announced updates to its AI Data Platform that extend its data orchestration and data processing engines to support agentic AI and move toward an agentic data center architecture. The Dell Data Processing Engine is intended to run on Nvidia GPUs using the cuDF library to accelerate enterprise data preparation. These releases add a Unified Semantic Layer, Enterprise Knowledge Graph, and Knowledge Agents and bring processing closer to storage to reduce data movement for building AI-ready context.
Simon Willison’s Weblog·2 weeks ago·
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Mistral released a preview of Mistral Large 4 via its API. It is a 1 trillion-parameter model running on 3,800 NVIDIA Grace Blackwell GPUs. Mistral says it will follow with an open-weights version at the end of this month and limits reasoning levels to “none” and “high” in the API.
Lambda is raising up to $4 billion at a $14.5 billion pre-money valuation ahead of a planned 2027 IPO, according to The Wall Street Journal. The company’s backlog rose from $15 billion in June to $50 billion in September, with much of the increase linked to a $35 billion Anthropic commitment signed in late August. The funding and backlog growth position Lambda to fund data center buildouts and potentially influence IPO pricing as it approaches public-market scrutiny.
CoreWeave announced CoreWeave Forge to connect model deployment, evaluation, and continuous improvement via reinforcement learning rollouts that repeat generate-and-update cycles. It said RL Rollouts helped post-train Nemotron 3.5 Lightning in eight hours using You.com’s web search tools. This shifts post-training toward higher GPU utilization by speeding weight synchronization and enabling cross-region data writes so jobs can feed each other between training rounds.
Vast said it is using tiered storage to reduce AI agent memory pressure by offloading KV caches from GPUs during long-running sessions. It noted that a half a million token session can use one-tenth to one-twentieth of a GPU’s memory. This shifts inference from being limited by GPU memory to a distributed setup using GPU, CPU, and persistent storage, enabling scheduling across a machine fleet.
Amazon SageMaker Unified Studio guidance explains how to administer shared SageMaker HyperPod clusters with governance controls across organization, project, cluster, and workload layers. It proposes keeping cluster and scheduler ownership centralized in a designated capacity account. This changes administration by letting infrastructure teams run the cluster while project teams launch approved compute from their Unified Studio project context with aligned identity, network, capacity, and observability policies.
Etched is reviewing investment offers that could value the AI chip startup at up to $40 billion after its previous $21 billion valuation. The reported range of offers includes $40 billion from top-tier investors, with discussions still early and deal terms subject to change. The fundraising could provide the cash needed for its proprietary AI hardware systems and extend its financial runway up to about 3.5 years.
Ghost, an AI agent hardware startup, raised $11 million to develop its Core device for continuously running personal AI agents locally. The first batch of Core units sold out at a price of $3,499 each. Ghost will now focus on building and taking orders for a second batch of the locally hosted “brain in a box” hardware.
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