NVIDIA H100 80GB — Local LLM Performance & Compatibility

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

The reference datacenter GPU for LLM serving: 80 GB HBM3, FP8 transformer engine, first-class vLLM/TensorRT-LLM support. One H100 serves a 70B model to a whole department; 2–4× serve 100B+ MoE models. No official MSRP — figure shown is a typical single-unit PCIe street price; most businesses buy it inside an OEM server or rent it hourly (see the cloud directory) before committing.

Technical Specifications

VRAM	80 GB
Memory Bandwidth	2000 GB/s
TDP	350 W
Architecture	Hopper GH100
Release Year	2022
MSRP at Launch	$25,000
Inference Speed (Llama 3.1 8B Q4_K_M)	~190 tokens/sec
Inference Speed (Llama 3.3 70B Q4_K_M)	~40 tokens/sec

Ujawnienie afiliacyjne: Niektóre odnośniki na tej stronie to linki afiliacyjne — jeśli dokonasz zakupu za ich pośrednictwem, LLM Configurator może otrzymać prowizję bez dodatkowych kosztów dla Ciebie. Jako uczestnik programu Amazon Associates, LLM Configurator zarabia na kwalifikujących się zakupach.

NVIDIA H100 80GB PCIe

Sugerowana cena premierowa: $25,000

Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.

Sprawdź cenę na Amazon

LLMs Compatible with 80 GB VRAM

All models below run comfortably in 80 GB VRAM with Q4_K_M quantization.

Llama 4	67 GB VRAM · Q4_K_M · `ollama run llama4:scout`
Llama 3.3	43 GB VRAM · Q2_K_XS (Tight) · `ollama run llama3.3`
Llama 3.1 Family	6 GB VRAM · Q4_K_M · `ollama run llama3.1`
DeepSeek R1	20 GB VRAM · Q4_K_M · `ollama run deepseek-r1:32b`
Qwen 3	80 GB VRAM · Q4_K_M · `ollama run qwen3:235b-a22b`
Qwen 3.5	74 GB VRAM · Q4_K_M · `ollama run qwen3.5:122b`
Qwen 3.6	22 GB VRAM · Q4_K_M · `ollama run qwen3.6:35b-a3b`
Gemma 3	17 GB VRAM · Q4_K_M · `ollama run gemma3:27b`

Best Use Cases

production inference at scale
70B+ models
fine-tuning
vLLM serving

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run llama3.3:70b

FAQ

Can the NVIDIA H100 80GB run local LLMs?

Yes — the NVIDIA H100 80GB has 80 GB VRAM and runs The reference datacenter GPU for LLM serving: 80 GB HBM3, FP8 transformer engine, first-class vLLM/TensorRT-LLM support.

How fast is the NVIDIA H100 80GB for AI inference?

The NVIDIA H100 80GB runs Llama 3.1 8B at ~190 tokens/sec with Q4_K_M quantization. For the 70B model it achieves ~40 tokens/sec.

What LLMs can I run on 80 GB VRAM?

With 80 GB you can run: Llama 4, Llama 3.3, Llama 3.1 Family, DeepSeek R1, Qwen 3. Use Ollama for the easiest setup: ollama run llama3.3:70b.

Can I Run It? — NVIDIA H100 80GB

Compare Similar GPUs

NVIDIA A100 80GB (80 GB, 145 t/s)

VRAM Tier

Best LLMs for 80 GB VRAM

Buying Guide

Best GPU Buyer Guide 2026

← All GPU Reviews | Check Your Hardware | Full Benchmarks | Can I Run It?