CoreWeave

At the latest market close before October 4, CoreWeave’s Nasdaq-listed equity had a market capitalization of approximately $49.38 billion, with CRWV closing at $89.62.

CoreWeave’s Fully Connected conference highlighted Forge, Vera Rubin production systems, Vera CPUs, and its expanded AI platform for more than 4,500 attendees.

CoreWeave launched reactive Python and SQL notebooks powered by marimo and connected to Forge experiment, artifact, and evaluation data.

ARIA became generally available in CoreWeave Forge with experiment analysis, code-aware hypothesis generation, and approval-gated run launches.

CoreWeave opened ARENA Pass to qualified enterprise teams seeking workload-specific production evidence and deployment recommendations.

CoreWeave said Cognition was running production workloads on its NVIDIA Vera Rubin NVL72 system shortly after deployment.

CoreWeave announced it would offer NVIDIA Vera, a CPU designed for agentic and data-intensive AI workloads.

CoreWeave introduced a curated network of production-validated partner integrations across the AI stack.

CoreWeave launched Forge as a connected development environment spanning model and agent production, observation, curation, training, evaluation, and continuous improvement.

The Mission Control Agent entered console preview with deployment diagnostics and recommendations based on platform telemetry.

CoreWeave made its hosted read-only Mission Control MCP server generally available for querying metrics, logs, dashboards, alerts, documentation, and resource state.

CoreWeave added cross-region write acceleration and an Archive storage class, while LOTA served cached reads at up to 7 GB/s per GPU.

CoreWeave announced a multi-rack Vera Rubin NVL72 cluster and supporting compute, networking, storage, and orchestration capabilities.

CoreWeave launched an embedded field-engineering offering that helps customers turn proprietary physical-world data into production AI systems.

Hudson River Trading selected CoreWeave’s NVIDIA Vera Rubin NVL72 infrastructure for a next-generation quantitative research platform under a multi-billion-dollar agreement.

CoreWeave reported second-quarter revenue of $2.575 billion, a $626 million net loss, and approximately $104 billion of revenue backlog.

CoreWeave closed a $2.6 billion delayed-draw term loan facility backed by a diversified set of customer contracts.

CoreWeave announced its first Asia-Pacific infrastructure expansion with new facilities in Indonesia.

CoreWeave made W&B Weave’s agent-development capabilities generally available alongside the ARIA preview.

CoreWeave launched ARIA in preview as an AI research and iteration agent inside Weights & Biases that analyzes experiments and drives follow-on runs.

CoreWeave reported record MLPerf Training v6.0 results, including training DeepSeek-V3 in approximately two minutes on a large NVIDIA GB300 NVL72 cluster.

CoreWeave was selected for inclusion in the Nasdaq-100 Index about fifteen months after its IPO.

CoreWeave announced an industry-first bring-up and validation milestone for the NVIDIA Vera Rubin NVL72 platform.

CoreWeave launched secure isolated sandboxes for reinforcement learning, agent tool use, and model evaluation at scale.

Artificial Analysis data placed CoreWeave first for Kimi K2.6 inference throughput and price-performance among evaluated providers.

CoreWeave added guided self-service and SUNK Anywhere so research teams could deploy production-grade Slurm-on-Kubernetes training on CoreWeave and other clouds.

CoreWeave launched private cross-cloud networking alongside SUNK Anywhere and LOTA Cross-Cloud to simplify distributed AI workloads.

LOTA Cross-Cloud extended CoreWeave’s local object-transport acceleration to data held outside CoreWeave regions.

Jane Street agreed to purchase $6 billion of CoreWeave AI cloud services and invest $1 billion in CoreWeave equity.

CoreWeave announced a multi-year agreement to support development and deployment of Anthropic’s Claude model family.

Meta and CoreWeave announced an expanded $21 billion agreement under which Meta would use CoreWeave Cloud to scale AI inference workloads.

CoreWeave closed DDTL 4.0, an up-to-$8.5 billion non-recourse facility described as the first investment-grade-rated financing backed by HPC infrastructure and a customer contract.

CoreWeave announced platform enhancements across infrastructure, orchestration, inference, developer tools, and operational services for production-scale AI.

CoreWeave introduced more flexible cloud-capacity plans designed to match customer workload duration and deployment needs.

CoreWeave announced an agreement to provide AI inference infrastructure for Perplexity.

CoreWeave reported fiscal 2025 revenue of $5.131 billion, up 168% year over year, with $66.8 billion of revenue backlog.

CoreWeave introduced a new brand positioning centered on being the essential cloud platform for production AI.

CoreWeave introduced ARENA, a production-scale lab for testing AI workload performance, economics, and operational readiness before deployment.

NVIDIA agreed to test and validate CoreWeave’s platform software and reference architectures to accelerate deployment of AI factories.

CoreWeave announced it would extend its cloud platform with NVIDIA’s Rubin architecture for the next generation of AI training and inference.

CoreWeave ended 2025 with 43 active data centers, more than 850 MW of active power, and approximately 3.1 GW of contracted power.

CoreWeave expanded Mission Control with Telemetry Relay entering GA, GPU Straggler Detection in preview, and the Mission Control Agent in preview.

CoreWeave increased its revolving credit facility from $1.5 billion to $2.5 billion and extended maturity to November 2029.

The proposed Core Scientific acquisition was terminated after Core Scientific stockholders did not approve the all-stock merger agreement; the commercial partnership continued.

CoreWeave announced the acquisition of Marimo, creator of an open-source reactive Python notebook, to unify experimentation and production workflows.

CoreWeave expanded AI Object Storage with a unified dataset across regions, clouds, and on-premises environments and automated pricing designed to lower typical storage costs by more than 75%.

CoreWeave agreed to provide Poolside with a cluster of more than 40,000 NVIDIA GB300 NVL72 GPUs and support its Project Horizon AI campus.

CoreWeave launched a publicly available serverless reinforcement-learning capability jointly built from Weights & Biases and OpenPipe technology.

CoreWeave agreed to acquire Monolith AI and extend its full-stack platform into industrial engineering, simulation, automotive, and manufacturing workflows.

A third OpenAI agreement added up to $6.5 billion, bringing total announced contract value with OpenAI to approximately $22.4 billion.

CoreWeave announced an incremental £1.5 billion UK data-center commitment, bringing its stated UK investment to £2.5 billion.

CoreWeave and NVIDIA agreed on a strategic collaboration to scale GPU infrastructure and accelerate AI innovation.

CoreWeave launched a venture initiative offering capital, compute, and technical expertise to companies building AI infrastructure and applications.

CoreWeave entered an agreement to acquire OpenPipe and add reinforcement-learning post-training for AI agents to its developer platform.

CoreWeave closed a $2.6 billion secured delayed-draw term loan to finance infrastructure supporting its OpenAI agreement.

CoreWeave announced an all-stock agreement to acquire Core Scientific and increase direct ownership of power and HPC data-center infrastructure.

The companies submitted the largest NVIDIA Blackwell MLPerf Training v5.0 cluster and reported record Llama 3.1 405B training performance.

CoreWeave made eight-GPU NVIDIA HGX B200 Blackwell instances generally available for enterprise AI training and inference.

CoreWeave expanded its OpenAI infrastructure agreement by up to $4 billion, increasing the relationship’s contracted value.

CoreWeave completed its acquisition of Weights & Biases, creating an end-to-end AI cloud spanning infrastructure, model development, and evaluation.

CoreWeave submitted the first cloud-provider MLPerf Inference v5.0 results for NVIDIA GB200, reporting more than 800 tokens per second on Llama 3.1 405B.

CoreWeave’s Class A common stock began public trading on the Nasdaq Global Select Market under ticker CRWV.

CoreWeave priced 37.5 million Class A shares at $40 each, with trading under CRWV scheduled to begin on Nasdaq the next day.

CoreWeave launched S3-compatible AI Object Storage with LOTA caching, exabyte-scale design, and performance targeted at training and inference.

CoreWeave entered a long-term agreement to provide AI infrastructure to OpenAI, with a contract value of up to $11.9 billion.

CoreWeave entered an agreement to acquire Weights & Biases and add experiment tracking, model management, evaluation, and monitoring to its AI cloud platform.

CoreWeave became the first cloud provider to make rack-scale NVIDIA GB200 NVL72 instances generally available through its Kubernetes service.

CoreWeave detailed Mission Control capabilities for infrastructure validation, proactive node replacement, fleet health, and AI cluster observability.

By year-end 2024, CoreWeave operated more than 360 megawatts of active power and held about 1.3 gigawatts of contracted capacity.

A $650 million secondary share transaction valued CoreWeave at approximately $23 billion ahead of its public offering.

CoreWeave secured a $650 million revolving credit facility from a syndicate of major banks to support global expansion.

CoreWeave publicly introduced Mission Control as its managed workflow for validating hardware, monitoring cluster health, and maintaining reliable AI infrastructure.

CoreWeave launched NVIDIA H200 Tensor Core GPU instances and said it was the first cloud provider to bring the H200 to market.

CoreWeave announced NVIDIA HGX B200 and GB200 NVL72 Blackwell cluster configurations connected with NVIDIA Quantum-2 InfiniBand.

CoreWeave signed a $7.5 billion debt facility led by Blackstone and Magnetar to expand its contracted high-performance compute fleet.

CoreWeave established its European headquarters in London and announced a $1.25 billion regional infrastructure investment plan.

CoreWeave raised $1.1 billion in Series C funding led by Coatue to expand its AI cloud across products and geographies.

CoreWeave completed a $642 million secondary transaction that gave existing shareholders liquidity and broadened its institutional investor base.

CoreWeave announced plans to offer NVIDIA GH200 Grace Hopper Superchip instances in the first quarter of 2024 and deploy NVIDIA HGX H200 systems.

CoreWeave closed a $2.3 billion debt financing led by Magnetar and Blackstone to purchase hardware for contracted AI workloads.

CoreWeave released Tensorizer, an open-source tensor serialization tool that streams models from S3, HTTP, and file storage to reduce PyTorch model startup time.

CoreWeave closed a primary Series B funding round led by Magnetar Capital to expand its GPU cloud for generative AI.

CoreWeave publicly detailed its managed inference service for securely serving AI models at scale.

CoreWeave made large-scale NVIDIA H100 Tensor Core GPU infrastructure available for generative-AI training and inference workloads.

CoreWeave acquired Conductor Technologies and its cloud task-management and burst-rendering platform, extending the cloud into end-to-end VFX and animation workflows.

Magnetar backed CoreWeave with a $100 million strategic investment to expand GPU capacity for AI, machine learning, and visual-computing customers.

CoreWeave raised $50 million from Magnetar Capital to scale its specialized NVIDIA GPU cloud infrastructure.

CoreWeave established a managed, multi-tenant Kubernetes cloud running directly on bare metal for GPU-accelerated machine-learning and inference workloads.

CoreWeave launched its specialized cloud business around on-demand NVIDIA GPU infrastructure for compute-intensive workloads.

After the cryptocurrency downturn, the company redirected its GPU fleet toward accelerated cloud workloads and changed its name to CoreWeave, Inc.

The founders turned an experimental cryptocurrency-mining GPU setup into a business and expanded through opportunistic purchases of GPU hardware.

Michael Intrator, Brian Venturo, and Brannin McBee formed The Atlantic Crypto Corporation LLC, the company that later became CoreWeave.