aiqbench analysis
CoreWeave Forge integrates model training, evaluation, and production inference on NVIDIA's latest Vera Rubin NVL72 systems, delivering a 4.8x throughput increase for workloads like Cognition's Devin agent. This architecture demonstrates how unified infrastructure stacks can accelerate the full AI lifecycle while maintaining backward compatibility with older GPU generations to maximize hardware longevity.
CoreWeave Forge connects AI training and production on NVIDIA
CoreWeave launched CoreWeave Forge, a connected environment for training, evaluating and improving models and agents on NVIDIA accelerated computing. Cognition is the first customer running production workloads on NVIDIA Vera Rubin NVL72 systems with Spectrum-X 102.4T Ethernet networking.
Cognition is achieving 4.8 times higher token throughput for its Devin AI software engineer by running training, reinforcement learning and production inference on newly available NVIDIA Vera Rubin NVL72 systems at CoreWeave, the company says. Cognition, the applied AI lab behind the Devin AI software engineer, is the first customer running production workloads on Vera Rubin. “Having all of it on one platform, with NVIDIA and CoreWeave engineers who work the hard problems alongside ours, matters more to us than any single spec,” says Silas Alberti, founding team at Cognition. CoreWeave…
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