NVIDIA B300 SXM 262GB
Overview
The NVIDIA B300 is the Blackwell Ultra refresh of the B200, and it is a memory and inference part rather than a general uplift. Capacity rises to 262.5 GB of HBM3e at 8 TB/s on the air-cooled HGX and DGX boards this row describes, or 288 GB in the liquid-cooled GB300 NVL72 rack, board power rises to 1,400 W, and dense NVFP4 rises by half again to 13.5 PFLOPS while sparse NVFP4 stays where the B200 left it. That asymmetry is the whole design: Blackwell Ultra spends its transistor budget on dense low-precision throughput and on attention, which NVIDIA rates at twice the B200's, because reasoning models generate long chains of tokens and are bound by decode rather than by training arithmetic. The trade is visible in what got cut. INT8 is not a serious datapath on this part, sitting far below FP8 because the silicon behind it was reallocated to NVFP4, and FP64 is similarly de-emphasised, so a B300 is a poor choice for classical HPC in a way a B200 is not. Read those two rows as deliberate, not as errors.
Performance
Peak theoretical throughput by precision type
| Precision | Dense | 2:4 Sparse |
|---|---|---|
FP64 64-bit floating point | 1.3TFLOPS | Structured sparsity is a tensor-core feature; this vector precision has no sparse form |
FP32 32-bit floating point | 75TFLOPS | Structured sparsity is a tensor-core feature; this vector precision has no sparse form |
TF32 TensorFloat-32 | 1,125TFLOPS | 2,250TFLOPS |
BF16 Brain Float 16 | 2,250TFLOPS | 4,500TFLOPS |
FP16 16-bit floating point | 2,250TFLOPS | 4,500TFLOPS |
FP8 8-bit floating point | 4,500TFLOPS | 9,000TFLOPS |
FP6 | 4,500TFLOPS | 9,000TFLOPS |
FP4 4-bit floating point | 13,500TFLOPS | 18,000TFLOPS |
INT8 8-bit integer | 188TOPS | 375TOPS |
Dense peak divided by accelerator TDP. Board power only: excludes host CPUs, networking, cooling and facility overhead. TDP for this part: 1400 W.
The B300 SXM 262GB in the GPU landscape
Peak FP16 TFLOPS (dense) against TDP, single-GPU parts tracked by Flopper
Higher and further left is better: more half-precision throughput for less power.
Specifications
Architecture
Blackwell Ultra
Form Factor
SXM
Launch Year
2025
Process Node
4nm
Memory
263 GB HBM3e
Bandwidth
8,000 GB/s
TDP
1.4 kW
Max power (Flopper estimate)
~1.6 kW est. Flopper estimate: 1400 W TDP x 1.15. The vendor publishes no maximum board power for this part.
Spec Confidence
Official
Full Specifications
| Memory | |
|---|---|
| Memory | 263 GB |
| Memory Type | HBM3e |
| Bandwidth | 8.0 TB/s |
| Interface Width | No verified data available |
| Power & Thermal | |
| TDP | 1.4 kW |
| Max power (Flopper estimate) | ~1.6 kW est. |
| Cooling | Air-cooled |
| Enterprise Features | |
| Sparsity | Yes |
| General | |
| Form Factor | SXM |
| Architecture | Blackwell Ultra |
| Process Node | 4nm |
| Launch Year | 2025 |
Datasheet & Resources
Flopper Datasheet
NVIDIA B300 SXM 262GB specifications, generated from our database. Printable.
Vendor product page
NVIDIA documentation for the B300 SXM 262GB
NVIDIA Developer Documentation
Technical specs, programming guides
Data Provenance
Every figure traced to a source
Primary Source
- Document
- —
- Publisher
- NVIDIA
- Published
- No verified data available
Data Quality
- Spec confidence
- Official
- Clock basis
- Boost
- Core precisions with figures
- 9 of 9
- Normalization
- All values in TFLOPS
Rent this GPU
$0.50 / GPU-hr
Lowest of 24 live listings across 19 providers· median $7.50
Median of each provider's cheapest on-demand listing, so a provider with many configurations counts once.
Price history and every provider on the pricing page. Some links are affiliate links.
Similar GPUs
NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip 252GB
Systems Using This GPU
Pre-configured systems featuring the NVIDIA B300
| System | GPU Count | Peak Performance | Total Power | |
|---|---|---|---|---|
HPE Compute XD690 Compute XD · rack · 2025 | 8x B300 | 108 PFLOPS | 14.3 kW | View System |
NVIDIA DGX B300 DGX · rack · 2025 | 8x B300 | 108 PFLOPS | 14.0 kW | View System |
NVIDIA HGX B300 8-GPU HGX · baseboard · 2025 | 8x B300 | 108 PFLOPS | No verified data available | View System |
HPE ProLiant Compute XD685 (HGX B300) ProLiant Compute XD · rack · 2025 | 8x B300 | 108 PFLOPS | No verified data available | View System |
Inventec P5800G7 P-Series · rack · | 8x B300 | No verified data available | No verified data available | View System |
Inventec P9000G7 (AC) P-Series · rack · | 8x B300 | No verified data available | No verified data available | View System |
Fujitsu PRIMERGY GX2580 M8s PRIMERGY GX · rack · | 8x B300 | No verified data available | No verified data available | View System |
QCT QuantaGrid D75H-10U QuantaGrid · rack · | 8x B300 | No verified data available | No verified data available | View System |
QCT QuantaGrid D75L-3U QuantaGrid · rack · | 8x B300 | No verified data available | No verified data available | View System |
Penguin Solutions Relion XE4418GTS-DTC Relion · rack · | 8x B300 | No verified data available | No verified data available | View System |
Penguin Solutions Relion XE8418GTS Relion · rack · | 8x B300 | No verified data available | No verified data available | View System |
Lenovo ThinkSystem SR680a V4 ThinkSystem · rack · | 8x B300 | No verified data available | No verified data available | View System |
Frequently Asked Questions
How many TFLOPS does the NVIDIA B300 have?
The NVIDIA B300 delivers 75 TFLOPS FP32, 2,250 TFLOPS FP16 and 4,500 TFLOPS FP8 at peak.
What is the power consumption of the NVIDIA B300?
The NVIDIA B300 has a TDP (Thermal Design Power) rating of 1,400 watts.
How much memory does the NVIDIA B300 have?
The NVIDIA B300 is equipped with 263 GB of memory with 8,000 GB/s of memory bandwidth.
What architecture is the NVIDIA B300 based on?
The NVIDIA B300 is based on the Blackwell Ultra architecture, launched in 2025.
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