Chips · accelerators · NVIDIA
NVIDIA GB200 Grace Blackwell Superchip · Blackwell
5,000 teraflops of dense BF16 compute a chip; NVIDIA publishes no power figure
Shipped 28 May 2025; shipped after the first date promised, up to 5 months. Epoch AI names it at no AI data center and 1 GPU cluster.
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Each figure in NVIDIA’s own words
one chip, dense compute; memory is high-bandwidth memory- BF16, dense
- 5,000 TFLOPS
FP16/BF16 Tensor Core2 360 PFLOPS 10 PFLOPS
NVIDIA GB200 NVL72 (10 PFLOPS on the page; read from a table with a column for each product, whose head reads “GB200 Grace Blackwell Superchip Configuration 36 Grace CPU | 72 Blackwell GPUs 1 Grace CPU | 2 Blackwell GPU”; halved, because the page gives it with sparsity) - FP8, dense
- 10,000 TFLOPS
FP8/FP6 Tensor Core2 720 PFLOPS 20 PFLOPS
NVIDIA GB200 NVL72 (20 PFLOPS on the page; read from a table with a column for each product, whose head reads “GB200 Grace Blackwell Superchip Configuration 36 Grace CPU | 72 Blackwell GPUs 1 Grace CPU | 2 Blackwell GPU”; halved, because the page gives it with sparsity) - FP4, dense
- 20,000 TFLOPS
NVFP4 Tensor Core2 1,440 | 720 PFLOPS 40 | 20 PFLOPS
NVIDIA GB200 NVL72 (20 PFLOPS on the page; read from a table with a column for each product, whose head reads “GB200 Grace Blackwell Superchip Configuration 36 Grace CPU | 72 Blackwell GPUs 1 Grace CPU | 2 Blackwell GPU”) - Memory
- 372 GB
GPU Memory | Bandwidth 13.4 TB HBM3E | 576 TB/s 372 GB HBM3E | 16 TB/s
NVIDIA GB200 NVL72 (read from a table with a column for each product, whose head reads “GB200 Grace Blackwell Superchip Configuration 36 Grace CPU | 72 Blackwell GPUs 1 Grace CPU | 2 Blackwell GPU”) - Memory bandwidth
- 16 TB/s
GPU Memory | Bandwidth 13.4 TB HBM3E | 576 TB/s 372 GB HBM3E | 16 TB/s
NVIDIA GB200 NVL72 (read from a table with a column for each product, whose head reads “GB200 Grace Blackwell Superchip Configuration 36 Grace CPU | 72 Blackwell GPUs 1 Grace CPU | 2 Blackwell GPU”)
Figures are per superchip (1 Grace CPU and 2 Blackwell GPUs). The page gives FP4 as sparse | dense (dense used) and gives BF16 and FP8 only as sparse. No readable NVIDIA page gives a power figure for one GB200 superchip (the Blackwell datasheet gives up to 1,200 W per GPU in GB200 NVL72), so power is left out. The 2025-02-26 earnings release already reported Blackwell sales; the 2025-05-28 release is the first that names NVL72 in full production.
1 dated promise and the shipment
each date links to the page it is quoted from- 18 Mar 2024 Promised Blackwell-based products available from partners starting later this year in 2024.
Blackwell-based products will be available from partners starting later this year.
NVIDIA Blackwell Platform Arrives to Power a New Era of Computing - 28 May 2025 Shipped: Blackwell NVL72 in full-scale production across system makers and cloud providers.
Our breakthrough Blackwell NVL72 AI supercomputer - a 'thinking machine' designed for reasoning- is now in full-scale production across system makers and cloud service providers
NVIDIA Announces Financial Results for First Quarter Fiscal 2026
Named at no AI data center Epoch AI tracks
H100-equivalents and power are the whole site’s today, with every chip it holds30,000 chips in 1 GPU cluster
Epoch AI’s list of AI supercomputers, which stops in July 2025| Cluster | Owner | Country | Chips | First operational |
|---|---|---|---|---|
| xAI Colossus Memphis Phase 3 | xAI | United States of America | 30,000 | 2025-07-22 |
Epoch AI’s names for this chip: NVIDIA GB200.
Other NVIDIA chips
- Tesla V100 SXM2 417 gigaflops of dense FP16 compute per watt, at 300 W
- A100 SXM 80GB 780 gigaflops of dense BF16 compute per watt, at 400 W
- H100 SXM 1,414 gigaflops of dense BF16 compute per watt, at 700 W
- H200 SXM 1,414 gigaflops of dense BF16 compute per watt, at 700 W
- GH200 Grace Hopper Superchip 990 gigaflops of dense BF16 compute per watt, at 1,000 W
- B200 2,200 gigaflops of dense BF16 compute per watt, at 1,000 W
- B300 (Blackwell Ultra) 2,000 gigaflops of dense BF16 compute per watt, at 1,100 W
- Rubin GPU 4,000 teraflops of dense BF16 compute a chip; NVIDIA publishes no power figure
- NVIDIA’s own pages, each linked beside the figure or date it gives. Each page was read and each quote checked on 23 Oct 2026.
- Where it runs: Epoch AI, AI data centers and Epoch AI, GPU clusters, CC BY 4.0.