NVIDIA· HOPPER

NVIDIA H100 SXM5 96 GB

VRAM
96 GB
FLAGSHIP
BANDWIDTH
3360
GB/S
MODELS Q4
297/331
90%
7B Q4 SPEED
~384
BLAZING
▸ MODEL COVERAGE @ Q490% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

Average speeds at Q4 quantization. Actual performance varies by model architecture and context length.

3B
~896
TOK/S
7B
~384
TOK/S
14B
~192
TOK/S
32B
~84
TOK/S
70B
~38
TOK/S
▸ SPECIFICATIONS
VRAM
96 GB
BANDWIDTH
3360 GB/s
FP16 COMPUTE
267.6 TFLOPS
TDP
700W
MEMORY
HBM3
ARCHITECTURE
Hopper
CUDA CORES
16,896
TENSOR CORES
528
PCIE
Gen 5 x16
MSRP
$25,000
289
FAST MODELS · >30 TOK/S
Real-time chat speed
297
USABLE · >10 TOK/S
Comfortable for all tasks
297
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ RENT IT IN THE CLOUD

Buying H100 SXM5 96 GB costs $15–$40k and isn’t practical for most teams. Spin one up by the hour instead:

Spin up in ~60s. Pay by the second. Cancel anytime.

Some links are affiliate links — we may earn a small commission at no extra cost to you. This helps keep FitMyLLM free and independent.

▸ COMPATIBLE MODELS· 297
S
nomic-embed-text-v1.5 100M0.1B
EMBEDDING·8K CTX· CHAT
26880
TOK/S · 1% VRAM
S
GPT-2 124M0.124B
GPT2·1K CTX· CHAT
21677
TOK/S · 1% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
19911
TOK/S · 1% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
8024
TOK/S · 1% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
8024
TOK/S · 1% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
8024
TOK/S · 1% VRAM
S
GPT-2 Medium 345M0.345B
GPT2·1K CTX· CHAT
7791
TOK/S · 1% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
7467
TOK/S · 1% VRAM
S
Falcon-H1 0.5B0.5B
FALCON·128K CTX· CHAT
5376
TOK/S · 1% VRAM
S
Qwen 1.5 0.5B0.5B
QWEN·32K CTX· CHAT
5376
TOK/S · 1% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
5376
TOK/S · 1% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
4732
TOK/S · 1% VRAM
S
Qwen3 0.6B0.6B
QWEN·32K CTX· CHAT· REASONING
4480
TOK/S · 1% VRAM
S
GPT-2 Large 774M0.774B
GPT2·1K CTX· CHAT
3473
TOK/S · 1% VRAM
S
Qwen 3.5 0.8B0.8B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
3360
TOK/S · 1% VRAM
S
Qwen3.5-0.8B0.9B
QWEN·256K CTX· CHAT
2987
TOK/S · 1% VRAM
S
Falcon3-1B1B
FALCON·32K CTX· CHAT
2688
TOK/S · 1% VRAM
S
InternLM2 1B1B
INTERNLM·32K CTX· CHAT
2688
TOK/S · 1% VRAM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
2444
TOK/S · 1% VRAM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
2240
TOK/S · 1% VRAM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
2240
TOK/S · 1% VRAM
S
DeepSeek Coder 1.3B1.3B
DEEPSEEK·16K CTX· CODING
2068
TOK/S · 1% VRAM
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
2068
TOK/S · 1% VRAM
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
2068
TOK/S · 1% VRAM
S
Phi-1 1.3B1.3B
PHI·2K CTX· CODING
2068
TOK/S · 1% VRAM
S
Phi-1.5 1.3B1.3B
PHI·2K CTX· CHAT· CODING
2068
TOK/S · 1% VRAM
S
granite-4.0-h-tiny 6.9B6.9BMoE
GRANITE·128K CTX· CHAT
1792
TOK/S · 5% VRAM
S
Falcon-H1 1.5B1.5B
FALCON·128K CTX· CHAT· CODING
1792
TOK/S · 1% VRAM
S
GPT-2 XL 1.5B1.5B
GPT2·1K CTX· CHAT
1792
TOK/S · 1% VRAM
S
Qwen2.5-Coder-1.5B1.5B
QWEN·32K CTX· CHAT· TOOL_USE· CODING
1792
TOK/S · 1% VRAM
S
Qwen2 Math 1.5B1.5B
QWEN·4K CTX· REASONING
1792
TOK/S · 1% VRAM
S
Qwen 2.5 1.5B1.5B
QWEN·32K CTX· CHAT· CODING
1792
TOK/S · 1% VRAM
S
Yi Coder 1.5B1.5B
YI·125K CTX· CODING
1792
TOK/S · 1% VRAM
S
stablelm-2-1_6b1.6B
STABLELM·4K CTX· CHAT
1680
TOK/S · 2% VRAM
S
Qwen3 1.7B1.7B
QWEN·32K CTX· CHAT· REASONING
1581
TOK/S · 2% VRAM
S
SmolLM2 1.7B1.71B
SMOLLM·8K CTX· CHAT
1572
TOK/S · 2% VRAM
S
Qwen 1.5 1.8B1.8B
QWEN·32K CTX· CHAT
1493
TOK/S · 2% VRAM
S
Moondream2 1.9B1.9B
OTHER·2K CTX· VISION· CHAT
1415
TOK/S · 2% VRAM
S
Gemma 1 2B2B
GEMMA·8K CTX· CHAT
1344
TOK/S · 2% VRAM
S
Granite 3.0 2B2B
GRANITE·128K CTX· CHAT· CODING
1344
TOK/S · 2% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your H100 SXM5 96 GB.

▸ DEVICE UNDER TEST

NVIDIA H100 SXM5 96 GB96 GB VRAM.

H100 SXM5 96 GB SPEC
BRAND
NVIDIA
VRAM
96 GB HBM3
BANDWIDTH
3360 GB/s
FP16 COMPUTE
267.6 TFLOPS
FP32 COMPUTE
66.9 TFLOPS
CUDA CORES
16,896
TENSOR CORES
528
TDP
700 W
ARCHITECTURE
Hopper
MSRP
$25000
▸ AI CAPABILITY
297/ 331 models @ Q4

With 96 GB VRAM and 3360 GB/s bandwidth, this GPU handles models up to 132B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~384 tok/s.

§ 01TOP MODELS FOR H100 SXM5 96 GB
297 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
DBRX 132B132B81.2 GB7546.3
Qwen3.5-122B-A10B125.1B77.0 GB2145.5
Pixtral Large 124B124B76.3 GB2239.3
Mistral-Large 123B123B75.7 GB2233.5
Devstral 2 123B123B75.7 GB2238.1
Qwen 3.5 122B A10B122B75.1 GB26956.8
Nemotron 3 Super 120B120B73.8 GB22457.3
Nemotron 3 Super 120B-A12B120B73.8 GB22453.2
Mistral Small 4 119B119B73.2 GB41450.2
GPT-OSS 120B117B72.0 GB52754.1
Command A 111B111B68.3 GB2427.6
GLM 4.5 Air110B67.7 GB22451.0
Qwen 1.5 110B110B67.7 GB2433.4
Llama 4 Scout 17B-16E109B67.1 GB15833.9
Sarvam 105B105B64.7 GB2648.0
Command-R+ 104B104B64.1 GB2652.7
Llama-3.2-90B-Vision-Instruct90B55.5 GB3048.5
Hunyuan A13B80B49.4 GB20781.1
Qwen3-Coder-Next80B49.4 GB89643.0
Qwen2.5-72B72.7B44.9 GB3739.7