NVIDIA GB200 NVL576

576× B200
2025
FP64
23.0
PFLOPS
FP32
46.1
PFLOPS
Power
960.0
kW Total
Memory
GB Total

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FP64
23.04
PFLOPS
27.0 TFLOPS/kW
FP32
46.08
PFLOPS
54.0 TFLOPS/kW
TF32
720.00
PFLOPS
1500.0 TFLOPS/kW
FP16
1440.00
PFLOPS
2700.0 TFLOPS/kW

System Details

GPU Configuration

GPU Count: 576 GPUs
Architecture: Blackwell
Interconnect:

System Specifications

Form Factor:
Total Power: 960.0 kW
Total Memory:
Memory Bandwidth: 4.4 PB/s

Precision Performance Breakdown

PrecisionSystem PerformancePer GPUEfficiency
23.040 PFLOPS 40.0 TFLOPS 27.0 TFLOPS/kW
46.080 PFLOPS 80.0 TFLOPS 54.0 TFLOPS/kW
720.000 PFLOPS 1250.0 TFLOPS 1500.0 TFLOPS/kW
1440.000 PFLOPS 2500.0 TFLOPS 2700.0 TFLOPS/kW
1440.000 PFLOPS 2500.0 TFLOPS 2700.0 TFLOPS/kW
2880.000 PFLOPS 5000.0 TFLOPS 5400.0 TFLOPS/kW
5760.000 PFLOPS 10000.0 TFLOPS 10800.0 TFLOPS/kW
2880.000 PFLOPS 5000.0 TFLOPS 5400.0 TFLOPS/kW

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 576 × 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 GB200 NVL576 specifications, generated from our database. Printable.

Vendor product page

NVIDIA GB200 NVL576 documentation

View ↗

workstation-datasheet-dgx-spark-gtc25-spring-nvidia-us-3716899-web.pdf

NVIDIA • 2025-10-16

View Document ↗

NVIDIA DGX Documentation

System guides, deployment resources

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Typical Use Cases

AI/ML Training
High-Performance Computing
Data Analytics

The NVIDIA GB200 NVL576 runs 576× B200 GPUs, delivering 2.88 EFLOPS FP8 dense.