Nvidia: GB300 Delivers 25x Higher Energy Efficiency Than Hopper for DeepSeek V4 Pro
nvidia · x · 2026-07-15
Nvidia officially stated that when running the DeepSeek V4 Pro model, the NVIDIA GB300 NVL72 system can achieve up to 25 times the performance per watt (energy efficiency) of the Hopper architecture. The company emphasized that in today's power-constrained AI factory environments, performance per watt is the most fundamental core metric.
Related event: NVIDIA Emphasizes Performance-per-Watt for AI Infrastructure(4 posts)→
More from Infra
- Gavin Baker argues Nvidia may be one of open source AI’s biggest supporters — GavinSBaker · 2026-07-22
- AI Power Demand Exposes US Energy Gap, Urging Shift from Scarcity to Abundance — bradneuberg · 2026-07-22
- Gavin Baker says Nvidia’s $630B figure would be system revenue, not all Nvidia’s — GavinSBaker · 2026-07-22
- A Firecracker-based platform says it can host 6,000 AI agents on one 256 GB server — maritime_sh · 2026-07-22
- Report says Nvidia could build 1,000 Vera Rubin racks a day, implying $630B quarterly at system level — GavinSBaker · 2026-07-22
- oMLX 0.5.2 adds Mac menu-bar stats, low-bit decode kernels, and faster downloads — awnihannun · 2026-07-22