NVIDIA B300 SXM 262GB

Architecture: Blackwell UltraReleased: 2025Process: 4nmSpec confidence: Official
FP8 (dense)
4,500
TFLOPS
FP32
75
TFLOPS
Memory
263 GB
HBM3e
Bandwidth
8.0 TB/s
memory
TDP
1.4 kW
53.6 FP32 dense TFLOPS/kW of TDP

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

PrecisionDense2:4 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

The B300 SXM 262GB in the GPU landscape

Peak FP16 TFLOPS (dense) against TDP, single-GPU parts tracked by Flopper

06001,2001,8002,4003,0000 W250 W500 W750 W1000 W1250 W1500 WInstinct MI355XB300 SXM 262GB

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

View

NVIDIA Developer Documentation

Technical specs, programming guides

Browse

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

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Similar GPUs

NVIDIA B30A

· 2025
FP32: No verified data available
Compare vs B30A

Systems Using This GPU

Pre-configured systems featuring the NVIDIA B300

SystemGPU CountPeak PerformanceTotal 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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