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CoreWeave, Inc, The Essential Cloud for AI, today announced an expansion of its purpose-built AI cloud platform at NVIDIA's GTC conference. The expansion brings NVIDIA HGX B300 to the CoreWeave Cloud, unlocking a new generation of performance for AI workloads, alongside new Weights & Biases capabilities that streamline reinforcement learning (RL) and agent development workflows.
CoreWeave announced the expansion of its AI cloud platform with the general availability of NVIDIA HGX B300, part of the NVIDIA Blackwell Ultra platform.
The new offering delivers a 50% increase in HBM3e memory over HGX B200, with 2.1 TB capacity for long-context inference and training models with 100B+ parameters on a single node.
CoreWeave expects to be among the first cloud providers to deploy the NVIDIA Vera Rubin NVL72 platform and NVIDIA Vera CPU rack in production in H2 2026.
Weights & Biases, part of CoreWeave, introduced environment-free reinforcement learning, production agent evaluations, and the first iOS mobile app for AI model development.
New capabilities for robotics AI development include blueprints for scalable training of RL and Vision-Language-Action models using NVIDIA Isaac Lab simulations.
CoreWeave has achieved top MLPerf benchmarks, Platinum rankings in SemiAnalysis ClusterMAX, and NVIDIA Exemplar Cloud validation.
As the industry shifts from large-scale training to iterative reinforcement learning, infrastructure requirements are rapidly evolving. By combining the latest hardware with CoreWeave's AI optimized cloud services and advanced development workflows, CoreWeave is closing the gap between training and production to support the next generation of self-improving agents and physical AI workloads.
"The next phase of AI is being defined by how efficiently AI systems can run and scale in production," said Michael Intrator, CEO, co-founder, and chairman at CoreWeave. "By pairing the massive compute power of NVIDIA's latest hardware with CoreWeave's cloud services, we're enabling enterprises to build and refine autonomous agents faster and more reliably than ever before. This expansion reinforces our position as the essential partner for any organization navigating the complexities of frontier-scale AI."
"The era of AI is shifting from training models to operating agents at scale," said Jensen Huang, founder and CEO, NVIDIA. "CoreWeave is a world-class new generation AI-Native cloud. We are thrilled to partner with them to build out NVIDIA computing infrastructure to power the world's AI."
CoreWeave Cloud unlocks NVIDIA HGX B300 performance at scale, marking a major step forward for frontier and agentic workloads. With the general availability of NVIDIA HGX B300, part of the NVIDIA Blackwell Ultra platform, customers will have access to a significant performance leap designed for AI reasoning and inference with enhanced compute and increased memory. The platform features 2.1 TB of HBM3e memory—a 50% increase over HGX B200 instances—enabling teams to run long-context inference with low latency and train models with 100B+ parameters on a single node. Next-generation NVIDIA Quantum-X800XDR InfiniBand support doubles node-to-node bandwidth, eliminating interconnect bottlenecks, while every HGX B300 server on CoreWeave Cloud is managed by state-of-the-art liquid cooling to eliminate thermal throttling and allow sustained peak performance.
"We've already run production workloads with CoreWeave on NVIDIA HGX B200, and that experience built real confidence in their ability to operate at scale," said Aman Sanger, Co-Founder of Cursor, an AI-powered code editor. "We're focused on collaborating with companies who deliver predictable performance, operational reliability, and ongoing support as our requirements evolve. As we move toward HGX B300, that proven operating model gives us confidence to focus on building more capable AI code generation systems rather than infrastructure risk."
CoreWeave also expects to be among the first cloud providers to deploy the NVIDIA Vera Rubin NVL72 platform and NVIDIA Vera CPU rack in production in the second half of 2026. This expansion will further support large-scale inference, reasoning, and the most demanding agentic AI applications.
Reinforcement learning is the most effective method for post-training LLMs on agentic tasks, but it traditionally requires costly, time-consuming, and difficult-to-model simulated environments. Weights & Biases now addresses this with environment-free training in its Serverless RL offering, eliminating the need to build simulated environments, and allowing agents to learn through continual "on-the-job" training. This delivers 1.4x faster training at up to 40% lower cost compared to self-managed clusters, and inference with up to 5x lower cost and up to 60x lower latency without quality loss.
Research evaluations often rely on limited datasets and synthetic scenarios, leaving agents unprepared for real-world production. Production agent evaluations in W&B Weave close that gap, connecting research and production, enabling teams to learn from real user interactions. It automatically detects production failure modes, alerts researchers, and feeds insights back to improve evaluation datasets and accelerate iteration.
For robotics and embodied AI, W&B Models now allows customers to track, compare, and reproduce multimodal experiments faster. Teams can log training metrics, simulation outputs, and video in a single workspace, and use a new comparison panel to evaluate up to four images or videos side-by-side. In collaboration with NVIDIA, Weights & Biases is releasing two blueprints for scalable training of RL and Vision-Language-Action (VLA) models using NVIDIA Isaac Lab simulations.
To enable AI pioneers to manage massive production runs from anywhere, CoreWeave introduced the first iOS app designed specifically for AI model development. The Weights & Biases iOS app provides a mobile-first experience to track training runs in real time, allowing researchers to spot issues early and make confident decisions without being tethered to a desktop.
About CoreWeave
CoreWeave is The Essential Cloud for AI. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to move at the pace of innovation, building and scaling AI with confidence. Established in 2017, CoreWeave completed its public listing on Nasdaq (CRWV) in March 2025.
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