FitMyLLM
NVIDIA· AMPERE

NVIDIA A800 SXM4 80 GB

VRAM
80 GB
FLAGSHIP
BANDWIDTH
2040
GB/S
MODELS Q4
382/449
85%
7B Q4 SPEED
~233
BLAZING
▸ MODEL COVERAGE @ Q485% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
~544
TOK/S
7B
~233
TOK/S
14B
~117
TOK/S
32B
~51
TOK/S
70B
~23
TOK/S
▸ SPECIFICATIONS
VRAM
80 GB
BANDWIDTH
2040 GB/s
FP16 COMPUTE
78 TFLOPS
TDP
400W
MEMORY
HBM2e
ARCHITECTURE
Ampere
CUDA CORES
6,912
TENSOR CORES
432
PCIE
Gen 4 x16
351
FAST MODELS · >30 TOK/S
Real-time chat speed
382
USABLE · >10 TOK/S
Comfortable for all tasks
382
TOTAL COMPATIBLE
Fit in VRAM at Q4
▸ RENT IT IN THE CLOUD

Buying A800 SXM4 80 GB costs $15–$40k and isn’t practical for most teams. Spin one up by the hour instead:

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▸ COMPATIBLE MODELS· 382
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
18133
TOK/S · 1% VRAM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
12089
TOK/S · 1% VRAM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
11657
TOK/S · 1% VRAM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
11657
TOK/S · 1% VRAM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
6375
TOK/S · 1% VRAM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
6044
TOK/S · 1% VRAM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
5351
TOK/S · 1% VRAM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
4872
TOK/S · 1% VRAM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
4872
TOK/S · 1% VRAM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
4872
TOK/S · 1% VRAM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
4663
TOK/S · 1% VRAM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
4533
TOK/S · 1% VRAM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
4295
TOK/S · 1% VRAM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
3264
TOK/S · 1% VRAM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
3264
TOK/S · 1% VRAM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
3138
TOK/S · 1% VRAM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
2873
TOK/S · 1% VRAM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
2873
TOK/S · 1% VRAM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
2720
TOK/S · 1% VRAM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
2720
TOK/S · 1% VRAM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
2720
TOK/S · 1% VRAM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
2632
TOK/S · 1% VRAM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
2205
TOK/S · 1% VRAM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
2176
TOK/S · 1% VRAM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
2015
TOK/S · 1% VRAM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
1876
TOK/S · 1% VRAM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
1736
TOK/S · 1% VRAM
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
1511
TOK/S · 1% VRAM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
1484
TOK/S · 1% VRAM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
1360
TOK/S · 2% VRAM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
1360
TOK/S · 2% VRAM
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
1360
TOK/S · 2% VRAM
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
1360
TOK/S · 2% VRAM
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
1255
TOK/S · 2% VRAM
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
1255
TOK/S · 2% VRAM
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
1255
TOK/S · 2% VRAM
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
1209
TOK/S · 2% VRAM
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
1149
TOK/S · 2% VRAM
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
1149
TOK/S · 2% VRAM
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
1088
TOK/S · 7% VRAM
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your A800 SXM4 80 GB.

▸ DEVICE UNDER TEST

NVIDIA A800 SXM4 80 GB80 GB VRAM.

A800 SXM4 80 GB SPEC
BRAND
NVIDIA
VRAM
80 GB HBM2e
BANDWIDTH
2040 GB/s
FP16 COMPUTE
78 TFLOPS
FP32 COMPUTE
19.5 TFLOPS
CUDA CORES
6,912
TENSOR CORES
432
TDP
400 W
ARCHITECTURE
Ampere
▸ AI CAPABILITY
382/ 449 models @ Q4

With 80 GB VRAM and 2040 GB/s bandwidth, this GPU handles models up to 111B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~233 tok/s.

§ 01TOP MODELS FOR A800 SXM4 80 GB
382 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Command A 111B111B68.3 GB1527.6
GLM 4.5 Air110B67.7 GB13651.0
Qwen 1.5 110B110B67.7 GB1533.4
Llama 4 Scout 17B-16E109B67.1 GB9633.9
Cogito v2 109B MoE109B67.1 GB96
Ling 2.6 Flash107.49B66.2 GB22136.8
Sarvam 105B105B64.7 GB1648.0
Command-R+ 104B104B64.1 GB1652.7
Llama-3.2-90B-Vision-Instruct90B55.5 GB1848.5
Hunyuan A13B80B49.4 GB12681.1
Qwen3-Coder-Next80B49.4 GB54443.0
Qwen3-Next 80B A3B80B49.4 GB54449.0
NVLM-D 72B79.38B49.0 GB2148.7
InternVL3 78B78B48.2 GB2180.6
Qwen2.5-72B72.7B44.9 GB2239.7
Qwen2-VL 72B72.7B44.9 GB2255.5
Qwen 1.5 72B72B44.5 GB2349.7
Qwen2 Math 72B72B44.5 GB2349.7
Molmo 72B72B44.5 GB2354.1
DeepSeek R1 Distill Llama 70B70.6B43.6 GB2342.4