How to Unlock 20% Higher AI Training Efficiency*

In just two days… Join CoreWeave experts on Aug 28 to learn how to measure and optimize AI infrastructure at scale.

If you’re pushing the boundaries of large-scale AI training, raw compute isn’t enough. You need infrastructure that can deliver both efficiency and reliability at scale.

On August 28, join CoreWeave Distinguished Engineer Wes Brown and Product Manager Deok Filho as they reveal the methodology and hard-won optimizations that powered our latest benchmarking study across 1,024 NVIDIA H100s.

You’ll walk away with:

• How to rigorously measure MFU, MTTF, and ETTR—and why these metrics matter for cost, reliability, and speed

• Proof that CoreWeave’s AI-first cloud achieved 20% higher throughput, 10× longer uptime, and 97–98% utilization

• The optimizations that move the needle, from 60M token/sec pipelines to async checkpointing with Tensorizer

• Actionable next steps for applying these learnings to your own clusters

If you’re a researcher, engineer, or practitioner building with AI, this is your chance to see how infrastructure choices directly translate to training performance at scale.

*The recommended webinar is hosted by the CoreWeave team. We appreciate their insights and ongoing support of Turing Post.