NVIDIA GB300 System Delivers 10x Inference Efficiency of Hopper
nvidia · x · 2026-07-15
NVIDIA officially emphasized that from benchmarks to actual production deployment, the **GB300 NVL72** system delivers industry-leading performance per watt, designed to maximize revenue and achieve the lowest token costs. In their responses, they revealed specific comparison data: when running the Kimi K2.6 model, the performance per watt of the GB300 NVL72 system can reach up to **10x** that of the previous-generation Hopper architecture.
Related event: NVIDIA GB300 Delivers 10x Energy Efficiency Over Hopper(2 posts)→
More from Infra
- UK AI datacentres face backlash over heat, noise and land use — nordicinst · 2026-07-21
- Fluidstack raises $830M at $7.5B valuation as Anthropic backs a $50B compute buildout — rohanpaul_ai · 2026-07-21
- Early Krea2 Gradio WebUI targets 6GB low-VRAM local runs — Fluid_Kaleidoscope17 · 2026-07-21
- Z.AI starts running a 1GW AI data center built entirely on domestic chips — Polymarket · 2026-07-21
- Local models feel far more capable once paired with the right harness — Soft-Barracuda8655 · 2026-07-21
- Voice-agent teams should use platforms first, then own STT events when failures get weird — FollowingSuitable941 · 2026-07-21