Chips · accelerators · NVIDIA
NVIDIA B300 (Blackwell Ultra) · Blackwell Ultra
2,000 gigaflops of dense BF16 compute per watt, at 1,100 W
Shipped 27 Aug 2025; shipped by the first date promised. Epoch AI names it at 30 AI data centers and no GPU cluster.
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Each figure in NVIDIA’s own words
one chip, dense compute; memory is high-bandwidth memory- BF16, dense
- 2,200 TFLOPS
FP16/BF16 Tensor Core Dense/Sparse 2.2/4.5 petaFLOPS 2.2/4.5 petaFLOPS
NVIDIA Blackwell Architecture Technical Brief (V2.1) (2.2 PFLOPS on the page; read from a table with a column for each product, whose head reads “Table 3. System Specifications for HGX B300 and HGX B200 HGX B300 HGX B200”) - FP8, dense
- 4,500 TFLOPS
FP8/FP6 Tensor Core Dense/Sparse 4.5/9 petaFLOPS 4.5/9 petaFLOPS
NVIDIA Blackwell Architecture Technical Brief (V2.1) (4.5 PFLOPS on the page; read from a table with a column for each product, whose head reads “Table 3. System Specifications for HGX B300 and HGX B200 HGX B300 HGX B200”) - FP4, dense
- 14,000 TFLOPS
FP4 Tensor Core Dense/Sparse 14/18 petaFLOPS 9/18 petaFLOPS
NVIDIA Blackwell Architecture Technical Brief (V2.1) (14 PFLOPS on the page; read from a table with a column for each product, whose head reads “Table 3. System Specifications for HGX B300 and HGX B200 HGX B300 HGX B200”) - Memory
- 270 GB
270 GB HBM3e | 7.7 TB/s Up to 192 GB HBM3e | 7.7 TB/s
NVIDIA Blackwell Architecture Technical Brief (V2.1) (read from a table with a column for each product, whose head reads “Table 3. System Specifications for HGX B300 and HGX B200 HGX B300 HGX B200”) - Memory bandwidth
- 7.7 TB/s
270 GB HBM3e | 7.7 TB/s Up to 192 GB HBM3e | 7.7 TB/s
NVIDIA Blackwell Architecture Technical Brief (V2.1) (read from a table with a column for each product, whose head reads “Table 3. System Specifications for HGX B300 and HGX B200 HGX B300 HGX B200”) - Maximum power
- 1,100 W
Max thermal design power (TDP) 1100 W 1000W
NVIDIA Blackwell Architecture Technical Brief (V2.1) (read from a table with a column for each product, whose head reads “Table 3. System Specifications for HGX B300 and HGX B200 HGX B300 HGX B200”) - Compute per watt
- 2,000 GFLOPS/Wdense BF16 over maximum power; 4,091 GFLOPS/W at FP8
Per-GPU figures are for the HGX B300 GPU (first column of the table): 270 GB usable HBM3e. The GB300 NVL72 version of the GPU is rated higher (279 GB, 8 TB/s, up to 1,400 W in the Blackwell Ultra datasheet).
1 dated promise and the shipment
each date links to the page it is quoted from- 18 Mar 2025 Promised Blackwell Ultra-based products expected from partners from the second half of 2025 in the second half of 2025.
Blackwell Ultra-based products are expected to be available from partners starting from the second half of 2025.
NVIDIA Blackwell Ultra AI Factory Platform Paves Way for Age of AI Reasoning - 27 Aug 2025 Shipped: Blackwell Ultra production ramping at full speed.
production of Blackwell Ultra is ramping at full speed, and demand is extraordinary
NVIDIA Announces Financial Results for Second Quarter Fiscal 2026
Named at 30 AI data centers
H100-equivalents and power are the whole site’s today, with every chip it holds| Site | Owner | Country | H100e | MW | Chips |
|---|---|---|---|---|---|
| Colossus 2 | SpaceXAI | United States | 1,111,673 | 1,276 | B200, B300 |
| DayOne Nusajaya | Undisclosed | Malaysia | 583,837 | 662 | H100, B300 |
| Meta Prometheus | Meta | United States | 536,343 | 612 | B300 |
| OpenAI Stargate Abilene | Oracle | United States | 509,348 | 590 | B200, B300 |
| DayOne Kempas | Undisclosed | Malaysia | 480,639 | 590 | B300 |
| Meta Jeffersonville | Meta | United States | 203,133 | 241 | B300 |
| Meta Temple | Meta | United States | 202,473 | 231 | B300 |
| Meta Montgomery | Meta | United States | 174,517 | 199 | B300 |
| Meta Kuna | Meta | United States | 173,248 | 198 | B300 |
| Meta Cheyenne | Meta | United States | 172,815 | 182 | B300 |
| Meta Huntsville | Meta | United States | 166,761 | 198 | B300 |
| Meta Eagle Mountain | Meta | United States | 151,354 | 179 | B300 |
| Meta Gallatin | Meta | United States | 99,545 | 114 | B300 |
| Meta Los Lunas | Meta | United States | 99,545 | 114 | B300 |
| Meta Sarpy | Meta | United States | 91,966 | 105 | B300 |
| Oracle Batam | Oracle | Indonesia | 84,386 | 94 | B200, B300 |
| Meta Aiken | Meta | United States | 78,322 | 90 | B300 |
| Microsoft SAT40 | Microsoft | United States | 64,679 | 106 | H100, B300 |
| Microsoft-Nebius New Jersey | Nebius | United States | 56,847 | 70 | B300 |
| Nebius Mantsala | Nebius | Finland | 48,528 | 90 | H100, B300, H200 |
| Southgate Melbourne | Firmus | Australia | 46,488 | 57 | B300 |
| Microsoft SAT14 | Microsoft | United States | 45,174 | 66 | H100, B300 |
| CoreWeave Dalton 1 & 2 | CoreWeave | United States | 32,239 | 40 | B300 |
| Start Campus Sines Data Campus | Nscale | Portugal | 31,834 | 40 | B300 |
| Nscale Keflavik | Nscale | Iceland | 5,821 | 7 | B300 |
| CoreWeave Muskogee OK | CoreWeave | United States | 0 | 0 | B300 |
| Goodnight | United States | 0 | 0 | B300, Rubin | |
| Meta Bowling Green | Meta | United States | 0 | 0 | B300, Rubin |
| OpenAI Stargate UAE | G42 | United Arab Emirates | 0 | 0 | B300, Rubin |
| QTS Eagle Mountain | Meta | United States | 0 | 0 | B300 |
In no GPU cluster of Epoch AI’s list
Epoch AI’s list of AI supercomputers, which stops in July 2025Epoch AI’s names for this chip: B300.
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
- GB200 Grace Blackwell Superchip 5,000 teraflops of dense BF16 compute a chip; NVIDIA publishes no power figure
- 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.