Our Mission

Want to increase your AI server density without sacrificing performance? Discover how Neuralwatt used Crusoe Cloud to solve the "AI energy paradox" and prove their innovative power management software. By leveraging our NVIDIA HGX H100 GPU clusters in Iceland — powered by 100% clean geothermal and hydro energy — Neuralwatt gained the unrestricted NVIDIA SMI access they needed to drive deep hardware-level telemetry. The results of this breakthrough:33% increase in AI inference throughput33% better server density (8 GPUs in a 6-GPU power envelope)40%+ reduction in idle GPU power draw (from 125W to 73W)"On Crusoe, we’ve had everything we needed… The ease of access to the NVIDIA hardware has been instrumental," says Chad Gibson, Co-founder and CEO of Neuralwatt.

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.

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Neurwatt was selected to the Winter 2026 Plug and Play Accelerator program.