Compute Comparison
NVIDIAHopper2023

H100 40GB

TDP 350W · 1513 TFLOPS · 40GB VRAM · 2000 GB/s bandwidth

The H100 40GB has a 350W TDP, 1513 TFLOPS of FP16 compute, 40GB of HBM3 VRAM, 2000 GB/s memory bandwidth.

PCIe variant of H100. Lower TDP and cost than SXM5. Good for inference-heavy workloads.

VRAM
40GB
HBM3
FP16
1.5k
TFLOPS
Bandwidth
2.0k
GB/s
TDP
350W
power
Best for:Mid-size LLM inferenceCost-efficient trainingPCIe deployments

H100 40GB has 40GB of memory. Compare its specs and listed cloud rental prices below. The workload must fit in VRAM with room for runtime memory; a listed price does not confirm stock.

H100 40GB Overview

The H100 40GB is a PCIe-form-factor Hopper GPU that brings the Transformer Engine and FP8 support to standard server deployments. It combines 40GB of HBM3 with 1,513 TFLOPS of FP16/BF16 performance and 3,026 TFLOPS at FP8, at a 350W power target that is easier to deploy than an SXM H100.

Its 2,000 GB/s HBM3 bandwidth is strong for a PCIe accelerator and materially improves transformer inference over older Ampere cards. The trade-off is capacity: 40GB limits native FP16 placement to roughly 20B parameters before runtime overhead, KV cache, and batch size are considered, even though the compute engine is much faster than that ceiling suggests.

This model fits mid-size LLM inference, FP8-aware serving, and training jobs that favor PCIe density over an SXM platform. It is not the best choice for single-card 70B-class FP16 inference or applications whose context cache consumes most of the 40GB allocation.

Memory

VRAM40 GB
Memory TypeHBM3
Bandwidth2000 GB/s
NVLink BW900 GB/s

Compute Performance

FP6425.6 TFLOPS
FP3251 TFLOPS
FP161513 TFLOPS
BF161513 TFLOPS
FP83026 TFLOPS
INT83026 TOPS

Hardware Specifications

Chip

ArchitectureGH100
GenerationHopper
Process NodeTSMC 4N
Transistors80B
Die Size814 mm²
Release DateMarch 21, 2023

Processors

CUDA / Shader Cores14,592
Tensor Cores456

Clocks

Boost Clock1,755 MHz

Memory

VRAM40 GB
Memory TypeHBM3
Memory Bus3200-bit
Bandwidth2000 GB/s
L2 Cache51 MB
NVLink BW900 GB/s

Power

TDP350 W
InterconnectNVLink 4.0 / PCIe 5.0

Relative Performance

FP16 Compute20%
VRAM Capacity14%
Mem Bandwidth13%

Relative to highest-spec GPU in database

Limitations

Only 40GB VRAM — limits to ~30B models at FP16
Lower bandwidth than SXM5 variant (2 TB/s vs 3.35 TB/s)
Higher cost than A100 for inference-only workloads

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Use Case Guidance

Mid-size LLM inference
Cost-efficient training
PCIe deployments

LLM Model Size Guidance

Max model (FP16)~20Bparameters at FP16 precision
Max model (INT8)~40Bparameters at INT8 precision
Max model (INT4)~80Bparameters at INT4/GGUF

Estimates only. Actual capacity depends on context length, KV cache, and framework overhead.

Related Guides

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H100 40GB vs Alternatives — Spec Comparison

SpecH100 40GB thisH100 PCIe 80GBMI325X 256GBMI325X 256GB
VRAM40GB HBM380GB HBM3256GB HBM3e▲256GB HBM3e▲
Memory Bandwidth2000 GB/s2000 GB/s6000 GB/s▲6000 GB/s▲
FP16 TFLOPS1513▲1513▲14701470
BF16 TFLOPS1513▲1513▲14701470
FP8 TFLOPS3026▲3026▲29402940
INT8 TOPS3026▲3026▲29402940
TDP350W350W750W▲750W▲
Process NodeTSMC 4NTSMC 4NTSMC 5nm / 6nm▲TSMC 5nm / 6nm▲
ArchitectureGH100▲GH100▲Aqua Vanjaram+Aqua Vanjaram+
Release Year202320222024▲2024▲
Max model (FP16)~20B params~40B params~128B params▲~128B params▲
Max model (INT4)~80B params~160B params~512B params▲~512B params▲
▲ indicates best value in row · FP16/BF16 TFLOPS at full precision · Max model estimates at 2 bytes/param (FP16) and 0.5 bytes/param (INT4)Full side-by-side comparison

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H100 40GB Frequently Asked Questions

What is the H100 40GB TDP?

The H100 40GB has a TDP (Thermal Design Power) of 350W.

How many TFLOPS does the H100 40GB have?

The H100 40GB delivers 1513 TFLOPS of FP16 compute and 1513 TFLOPS BF16, and 3026 TFLOPS FP8.

How much VRAM does the H100 40GB have?

The H100 40GB has 40GB of HBM3 VRAM.

What is the H100 40GB's memory bandwidth?

The H100 40GB has a memory bandwidth of 2000 GB/s.

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