FitMyLLM
NVIDIA· HOPPER

NVIDIA H100 SXM5 64 GB

VRAM
64 GB
FLAGSHIP
BANDWIDTH
2020
GB/S
MODELS Q4
374/449
83%
7B Q4 SPEED
~231
BLAZING
▸ MODEL COVERAGE @ Q483% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
~539
TOK/S
7B
~231
TOK/S
14B
~115
TOK/S
32B
~51
TOK/S
70B
~23
TOK/S
▸ SPECIFICATIONS
VRAM
64 GB
BANDWIDTH
2020 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
347
FAST MODELS · >30 TOK/S
Real-time chat speed
374
USABLE · >10 TOK/S
Comfortable for all tasks
374
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ RENT IT IN THE CLOUD

Buying H100 SXM5 64 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.

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▸ COMPATIBLE MODELS· 374
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
17956
TOK/S · 1% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
11970
TOK/S · 1% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
11543
TOK/S · 1% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
11543
TOK/S · 1% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
6312
TOK/S · 1% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
5985
TOK/S · 1% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
5298
TOK/S · 1% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
4824
TOK/S · 1% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
4824
TOK/S · 1% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
4824
TOK/S · 1% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
4617
TOK/S · 1% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
4489
TOK/S · 1% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
4253
TOK/S · 1% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
3232
TOK/S · 1% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
3232
TOK/S · 1% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
3108
TOK/S · 1% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
2845
TOK/S · 1% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
2845
TOK/S · 1% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
2693
TOK/S · 1% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
2693
TOK/S · 1% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
2693
TOK/S · 1% VRAM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
2606
TOK/S · 1% VRAM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
2184
TOK/S · 1% VRAM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
2155
TOK/S · 1% VRAM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
1995
TOK/S · 2% VRAM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
1857
TOK/S · 2% VRAM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
1719
TOK/S · 2% VRAM
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
1496
TOK/S · 2% VRAM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
1469
TOK/S · 2% VRAM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
1347
TOK/S · 2% VRAM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
1347
TOK/S · 2% VRAM
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
1347
TOK/S · 2% VRAM
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
1347
TOK/S · 2% VRAM
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
1243
TOK/S · 2% VRAM
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
1243
TOK/S · 2% VRAM
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
1243
TOK/S · 2% VRAM
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
1197
TOK/S · 2% VRAM
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
1138
TOK/S · 2% VRAM
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
1138
TOK/S · 2% VRAM
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
1077
TOK/S · 9% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your H100 SXM5 64 GB.

▸ DEVICE UNDER TEST

NVIDIA H100 SXM5 64 GB64 GB VRAM.

H100 SXM5 64 GB SPEC
BRAND
NVIDIA
VRAM
64 GB HBM3
BANDWIDTH
2020 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
374/ 449 models @ Q4

With 64 GB VRAM and 2020 GB/s bandwidth, this GPU handles models up to 90B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~231 tok/s.

§ 01TOP MODELS FOR H100 SXM5 64 GB
374 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Llama-3.2-90B-Vision-Instruct90B55.5 GB1848.5
Hunyuan A13B80B49.4 GB12481.1
Qwen3-Coder-Next80B49.4 GB53943.0
Qwen3-Next 80B A3B80B49.4 GB53949.0
NVLM-D 72B79.38B49.0 GB2048.7
InternVL3 78B78B48.2 GB2180.6
Qwen2.5-72B72.7B44.9 GB2239.7
Qwen2-VL 72B72.7B44.9 GB2255.5
Qwen 1.5 72B72B44.5 GB2249.7
Qwen2 Math 72B72B44.5 GB2249.7
Molmo 72B72B44.5 GB2254.1
DeepSeek R1 Distill Llama 70B70.6B43.6 GB2342.4
Llama 3.3 70B70.6B43.6 GB2344.8
Llama 3.1 70B70.6B43.6 GB2333.2
Llama 3 70B70.6B43.6 GB2344.1
Llama-3.1-Nemotron-70B70.6B43.6 GB2343.7
Cogito 70B70B43.3 GB23
Llama 2 70B70B43.3 GB2333.4
CodeLlama 70B70B43.3 GB2345.7
Dolphin Llama 3 70B70B43.3 GB2345.7