NVIDIA DGX B200

rack
8× B200
NVLink 5.0 / 2x NVSwitch, 14.4 TB/s aggregate
2024
FP64
296
TFLOPS
FP32
600
TFLOPS
Power
14.3
kW Total
Memory
1440
GB Total

Unveiled at GTC March 2024. 10 RU air-cooled chassis with 2x Intel Xeon Platinum 8570 (112 cores) and 2 TB system memory, configurable to 4 TB. Networking is 4x OSFP serving 8x single-port ConnectX-7 plus 2x dual-port QSFP112 BlueField-3 DPUs, each up to 400 Gb/s. Same eight B200 SXM parts as HGX B200; the 14.3 kW figure is the whole system, against 10.2 kW for the bare baseboard.

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FP64
296
TFLOPS
FP32
600
TFLOPS
TF32
9,000
TFLOPS
FP16
18,000
TFLOPS

System Details

GPU Configuration

GPU Count: 8 GPUs
Architecture: Blackwell
Interconnect: NVLink 5.0 / 2x NVSwitch, 14.4 TB/s aggregate

System Specifications

Form Factor: rack
Total Power: 14.3 kW
Total Memory: 1.4 TB
Memory Bandwidth: 64 TB/s

Precision Performance Breakdown

PrecisionSystem PerformancePer GPUEfficiency
296 TFLOPS 37 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 —
72,000 TFLOPS 9,000 TFLOPS —
36,000 TOPS 4,500 TOPS —

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 B200

This system utilizes 8 × NVIDIA B200 SXM 180GB GPUs, each delivering exceptional performance for AI and HPC workloads.

Per GPU TDP

1000W

Per GPU Memory

180 GB

Process Node

4nm

Architecture

Blackwell

Documentation & Resources

Flopper Spec Sheet

NVIDIA DGX B200 specifications, generated from our database. Printable.

Vendor product page

NVIDIA DGX B200 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 DGX B200 runs 8× B200 GPUs over NVLink 5.0 / 2x NVSwitch, 14.4 TB/s aggregate, delivering 36,000 TFLOPS FP8 dense.

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