Releases

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 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.

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 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.

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.

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

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

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

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

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

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

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

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.

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

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 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.