Nvidia H800

H100 variant with reduced interconnect for the Chinese market.

Arch: Hopper
Memory: 80 GB HBM2e
Bandwidth: 2.00 TB/s
Released: Q1 2023

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At a glance

We don't currently track any H800 offers. See alternative GPUs.

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NVIDIA H200 from $2.20/hr, B200 from $3.40/hr, B300 from $3.80/hr

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Scale to 8,000 GPUs over InfiniBand for distributed AI training

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Technical Specifications

Nvidia H800 · Per GPU

Compute · dense
FP8	1,513 TFLOPS 3,026 with sparsity
FP16 / BF16	756.5 TFLOPS 1,513 with sparsity
INT8	1,513 TOPS 3,026 with sparsity
FP32	51 TFLOPS
Precision support	FP8FP16BF16TF32FP32FP64INT8

Memory
Capacity	80 GB HBM2e
Bandwidth	2,000 GB/s
Bus width	5,120-bit
ECC	Yes

Silicon
Architecture	Hopper
Process	TSMC 4N
Transistors	80 billion
Shader cores	14,592 CUDA cores
Matrix cores	456 Tensor cores
Compute units	114 SMs

Fabric and host
GPU interconnect	NVLink 400 GB/s
Host interface	PCIe 5.0 x16

Power
Board power	350 W

Platform
Partitioning	MIG, up to 7 instances

Frequently Asked Questions

Why choose the H800?

80GB HBM3 with FP8 Transformer Engine, similar compute to H100. Available in the Chinese market where H100 is restricted. 400 GB/s NVLink still supports multi-GPU training.

When is the H800 not a good fit?

Reduced NVLink bandwidth (400 vs 900 GB/s) compared to H100. Not ideal for communication-heavy distributed training across many nodes. Outside China, the H100 is typically a better choice.

Alternatives to Nvidia H800

Nvidia H100 80 GB HBM3 · 68% more bandwidth than the H800
From $1.25 /GPU/hr Compare
Nvidia H200 141 GB HBM3e · 2.4x the bandwidth of the H800
From $2.09 /GPU/hr Compare
Nvidia A800 40 GB HBM2 · 22% less bandwidth than the H800
From $1.18 /GPU/hr Compare

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Last updated Sept. 14, 2026