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Neuralwatt helped power the AI Energy Score v2 refresh. In partnership with Hugging Face’s AI Energy Score team, Neuralwatt (via Scott Chamberlin) contributed to streamlining the benchmarking workflow and expanding the evaluation suite to support reasoning-model energy testing. This work also supported the creation of AI Energy Benchmarks, a new open-source package designed to make energy benchmarking more scalable and portable across different hardware/software configurations—helping the community better measure and compare the real-world energy cost of modern LLM inference, especially as reasoning modes become more common.

Neurwatt was selected to the Winter 2026 Plug and Play Accelerator program.
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Neuralwatt, a pioneer in AI power management, boosted AI inference throughput by 33% and reduced GPU idle power by over 40% on Crusoe Cloud. Discover how Crusoe's cost-effective, climate-aligned, and technically open platform empowered their breakthrough in sustainable AI.










