CoreWeave announced the expansion of its purpose‑built AI cloud platform on March 16 2026 at NVIDIA’s GTC conference, adding support for NVIDIA’s HGX B300 GPU architecture and unlocking a new generation of performance for AI workloads.
The HGX B300, part of NVIDIA’s Blackwell architecture, delivers significant performance improvements over previous generations, especially in inference and memory capacity, enabling CoreWeave to offer higher throughput and lower latency for AI training and inference.
CoreWeave also integrated new Weights & Biases capabilities, a tool it acquired in October 2023 for $1.7 billion, to streamline reinforcement learning and agent development workflows, giving customers a competitive edge over hyperscalers.
CEO Michael Intrator said the expansion "reinforces our position as the essential partner for any organization navigating the complexities of frontier‑scale AI," while NVIDIA CEO Jensen Huang highlighted the partnership as a "world‑class new generation AI‑Native cloud."
The move fits CoreWeave’s broader strategy of rapid deployment of cutting‑edge NVIDIA hardware and specialized AI services, following significant capital raises—$7.5 billion in debt in May 2024, $650 million in October 2024, a $23 billion valuation in March 2025—and a $2 billion investment from NVIDIA in January 2026.
By adding HGX B300 and Weights & Biases, CoreWeave strengthens its differentiated offering against AWS, Azure, Google Cloud, and other specialized GPU providers, positioning itself to capture growing demand for reinforcement learning, agent development, and production‑scale inference.
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