NVIDIA HGX B300 8-GPU

baseboard
8× B300
NVLink 5.0 / NVSwitch 4.0
2025
FP64
10
TFLOPS
FP32
600
TFLOPS
Power
—
kW Total
Memory
2100
GB Total

The eight-GPU Blackwell Ultra baseboard OEMs build around. NVIDIA publishes both a dense and a sparse figure for every tensor precision here, and for FP4 the two are not a factor of two apart: dense rose by half over the B200, from 72 to 108 PFLOPS, while sparse stayed at 144. Total memory is NVIDIA's own 2.1 TB rather than the 2.304 TB that eight 288 GB GPUs would suggest. Memory bandwidth of 64 TB/s is the one derived number, being eight times the B300's published 8 TB/s, because NVIDIA gives no board-level HBM figure. No INT8 row is recorded: NVIDIA's table gives 3 POPS sparse for this board while our B300 chip entry implies 36 POPS dense, the two cannot both be right, and the question is open rather than guessed at. NVIDIA publishes no baseboard power figure, so total power is blank.

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FP64
10
TFLOPS
FP32
600
TFLOPS
TF32
9,000
TFLOPS
FP16
18,000
TFLOPS

System Details

GPU Configuration

GPU Count: 8 GPUs
Architecture: Blackwell Ultra
Interconnect: NVLink 5.0 / NVSwitch 4.0

System Specifications

Form Factor: baseboard
Total Power: —
Total Memory: 2.1 TB
Memory Bandwidth: 64 TB/s

Precision Performance Breakdown

PrecisionSystem PerformancePer GPUEfficiency
10 TFLOPS 1.3 TFLOPS —
600 TFLOPS 75 TFLOPS —
9,000 TFLOPS 1,125 TFLOPS —
18,000 TFLOPS 2,250 TFLOPS —
18,000 TFLOPS 2,250 TFLOPS —
36,000 TFLOPS 4,500 TFLOPS —
108,000 TFLOPS 13,500 TFLOPS —
1,500 TOPS 188 TOPS —
FP6 36,000 TFLOPS 4,500 TFLOPS —

Where a vendor states a basis, the figure shown is the dense one, and any figure it publishes is listed separately. Vendors commonly headline the sparse number instead: for NVIDIA's 2:4 structured sparsity that is exactly twice the dense figure, though other vendors' sparse modes do not all follow that ratio.

Powered by NVIDIA B300

This system utilizes 8 × NVIDIA B300 SXM 262GB GPUs, each delivering exceptional performance for AI and HPC workloads.

Per GPU TDP

1400W

Per GPU Memory

263 GB

Process Node

4nm

Architecture

Blackwell Ultra

Documentation & Resources

Flopper Spec Sheet

NVIDIA HGX B300 8-GPU specifications, generated from our database. Printable.

Vendor product page

NVIDIA HGX B300 8-GPU documentation

View ↗

NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition Datasheet

NVIDIA • 2026-06-01

View Document ↗

NVIDIA DGX Documentation

System guides, deployment resources

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Typical Use Cases

Large Language Model Training
Distributed Deep Learning
Multi-GPU Inference
HPC Simulations
Scientific Computing

The NVIDIA HGX B300 8-GPU runs 8× B300 GPUs over NVLink 5.0 / NVSwitch 4.0, delivering 36,000 TFLOPS FP8 dense.

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