▸ NVIDIA· AMPERE

NVIDIA A100 SXM 80GB

VRAM

80 GB

FLAGSHIP

BANDWIDTH

2039

GB/S

MODELS Q4

369/428

86%

7B Q4 SPEED

~233

BLAZING

▸ MODEL COVERAGE @ Q486% 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

2039 GB/s

FP16 COMPUTE

312 TFLOPS

TDP

400W

MEMORY

HBM2e

ARCHITECTURE

Ampere

CUDA CORES

6,912

TENSOR CORES

432

PCIE

Gen 4 x16

MSRP

$10,000

338

FAST MODELS · >30 TOK/S

Real-time chat speed

369

USABLE · >10 TOK/S

Comfortable for all tasks

369

TOTAL COMPATIBLE

Fit in VRAM at Q4

▸ RENT IT IN THE CLOUD

Buying A100 SXM 80GB costs $15–$40k and isn’t practical for most teams. Spin one up by the hour instead:

Rent on RunPod →Or Vast.ai →

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· 369

Falcon-H1R Tiny 90M0.09B

FALCON·256K CTX· CHAT· REASONING

TOK/S · 1% VRAM

nomic-embed-text-v1.5 100M0.1B

EMBEDDING·8K CTX· CHAT

TOK/S · 1% VRAM

GPT-2 124M0.124B

GPT2·1K CTX· CHAT

TOK/S · 1% VRAM

SmolLM2 135M0.135B

SMOLLM·2K CTX· CHAT

TOK/S · 1% VRAM

SmolVLM 256M0.256B

SMOLLM·8K CTX· CHAT· VISION

TOK/S · 1% VRAM

Gemma 3 270M0.27B

GEMMA·32K CTX· CHAT

TOK/S · 1% VRAM

Snowflake Arctic Embed M v2.00.305B

EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL

TOK/S · 1% VRAM

bge-large-en-v1.5 335M0.335B

EMBEDDING·1K CTX· CHAT

TOK/S · 1% VRAM

mxbai-embed-large-v10.335B

EMBEDDING·1K CTX· EMBEDDING

TOK/S · 1% VRAM

Snowflake Arctic Embed L0.335B

EMBEDDING·1K CTX· EMBEDDING

TOK/S · 1% VRAM

GPT-2 Medium 345M0.345B

GPT2·1K CTX· CHAT

TOK/S · 1% VRAM

LFM·125K CTX· CHAT· TOOL_USE

TOK/S · 1% VRAM

SmolLM2 360M0.36B

SMOLLM·8K CTX· CHAT

TOK/S · 1% VRAM

Falcon-H1 0.5B0.5B

FALCON·128K CTX· CHAT

TOK/S · 1% VRAM

Qwen 1.5 0.5B0.5B

QWEN·32K CTX· CHAT

TOK/S · 1% VRAM

Qwen 2.5 0.5B0.5B

QWEN·32K CTX· CHAT

TOK/S · 1% VRAM

SmolVLM 500M0.5B

SMOLLM·8K CTX· CHAT· VISION

TOK/S · 1% VRAM

EMBEDDING·8K CTX· EMBEDDING

TOK/S · 1% VRAM

Snowflake Arctic Embed L v2.00.568B

EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL

TOK/S · 1% VRAM

QWEN·32K CTX· CHAT· REASONING

TOK/S · 1% VRAM

Qwen3-Embedding 0.6B0.6B

EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL

TOK/S · 1% VRAM

Falcon-H1R Tiny 0.6B0.6B

FALCON·32K CTX· CHAT· REASONING

TOK/S · 1% VRAM

Falcon Perception 0.6B0.6B

FALCON·4K CTX· VISION

TOK/S · 1% VRAM

LFM·125K CTX· CHAT· TOOL_USE

TOK/S · 1% VRAM

GPT-2 Large 774M0.774B

GPT2·1K CTX· CHAT

TOK/S · 1% VRAM

Qwen 3.5 0.8B0.8B

QWEN·256K CTX· CHAT· CODING· MULTILINGUAL

TOK/S · 1% VRAM

Qwen3.5-0.8B0.9B

QWEN·256K CTX· CHAT

TOK/S · 1% VRAM

FALCON·32K CTX· CHAT

TOK/S · 1% VRAM

INTERNLM·32K CTX· CHAT

TOK/S · 1% VRAM

OTHER·32K CTX· CHAT· VISION

TOK/S · 1% VRAM

TinyLlama 1.1B1.1B

LLAMA·2K CTX· CHAT

TOK/S · 1% VRAM

LFM2.5-1.2B-Thinking1.2B

LFM·122K CTX· CHAT· REASONING· TOOL_USE

TOK/S · 2% VRAM

Llama-3.2-1B1.2B

LLAMA·4K CTX· CHAT

TOK/S · 2% VRAM

LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL

TOK/S · 2% VRAM

Zamba2 1.2B1.2B

OTHER·4K CTX· CHAT

TOK/S · 2% VRAM

DeepSeek Coder 1.3B1.3B

DEEPSEEK·16K CTX· CODING

TOK/S · 2% VRAM

EXAONE-4.0-1.2B1.3B

EXAONE·64K CTX· CHAT

TOK/S · 2% VRAM

OPT·2K CTX· CHAT

TOK/S · 2% VRAM

PHI·2K CTX· CODING

TOK/S · 2% VRAM

Phi-1.5 1.3B1.3B

PHI·2K CTX· CHAT· CODING

TOK/S · 2% VRAM

▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your A100 SXM 80GB.

▸Find models for A100 SXM 80GB Compare with other GPUs

▸ DEVICE UNDER TEST

NVIDIA A100 SXM 80GB — 80 GB VRAM.

▸ A100 SXM 80GB SPEC

BRAND: NVIDIA
VRAM: 80 GB HBM2e
BANDWIDTH: 2039 GB/s
FP16 COMPUTE: 312 TFLOPS
FP32 COMPUTE: 19.5 TFLOPS
CUDA CORES: 6,912
TENSOR CORES: 432
TDP: 400 W
ARCHITECTURE: Ampere
MSRP: $10000

▸ AI CAPABILITY

369/ 428 models @ Q4

With 80 GB VRAM and 2039 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 A100 SXM 80GB

369 FIT · SHOWING 20

MODEL	SIZE	VRAM Q4	TOK/S	AVG
Command A 111B	111B	68.3 GB	15	27.6
GLM 4.5 Air	110B	67.7 GB	136	51.0
Qwen 1.5 110B	110B	67.7 GB	15	33.4
Llama 4 Scout 17B-16E	109B	67.1 GB	96	33.9
Cogito v2 109B MoE	109B	67.1 GB	96	—
Sarvam 105B	105B	64.7 GB	16	48.0
Command-R+ 104B	104B	64.1 GB	16	52.7
Ling 2.6 Flash	104B	64.1 GB	220	36.8
Llama-3.2-90B-Vision-Instruct	90B	55.5 GB	18	48.5
Hunyuan A13B	80B	49.4 GB	125	81.1
Qwen3-Coder-Next	80B	49.4 GB	544	43.0
Qwen3-Next 80B A3B	80B	49.4 GB	544	49.0
InternVL3 78B	78B	48.2 GB	21	80.6
Qwen2.5-72B	72.7B	44.9 GB	22	39.7
Qwen2-VL 72B	72.7B	44.9 GB	22	55.5
Qwen 1.5 72B	72B	44.5 GB	23	49.7
Qwen2 Math 72B	72B	44.5 GB	23	49.7
Molmo 72B	72B	44.5 GB	23	54.1
NVLM-D 72B	72B	44.5 GB	23	48.7
DeepSeek R1 Distill Llama 70B	70.6B	43.6 GB	23	42.4