NVIDIA A100 80GB: Specs & Local-AI Compatibility
Widely-available 80GB HBM accelerator — a practical fine-tuning default.
Specs
- Memory
- 80 GB
- Memory type
- HBM2e
- Bandwidth
- 2,039 GB/s
- Approx FP16
- 312 TFLOPS
- Architecture
- Ampere
- Process
- TSMC 7nm
- Power
- 400 W
- Launch
- 2020
Models this chip can run
Open models graded for a single NVIDIA A100 80GB, best fit first.
- Qwen2.5 72BQwen · ~72B · 128K ctx · Qwen License
Fits at Q4_K_M (~44GB) with ~26.4GB headroom — about 1 concurrent instance.
Q4_K_M · ~44GBRuns well - Llama 3.1 70BLlama · ~70B · 128K ctx · Llama Community License
Fits at Q4_K_M (~42GB) with ~28.4GB headroom — about 1 concurrent instance.
Q4_K_M · ~42GBRuns well - Llama 3.3 70BLlama · ~70B · 128K ctx · Llama Community License
Fits at Q4_K_M (~42GB) with ~28.4GB headroom — about 1 concurrent instance.
Q4_K_M · ~42GBRuns well - DeepSeek-R1 Distill Llama 70BDeepSeek · ~70B · 128K ctx · MIT
Fits at Q4_K_M (~42GB) with ~28.4GB headroom — about 1 concurrent instance.
Q4_K_M · ~42GBRuns well - Mixtral 8x7B (MoE)Mistral · ~47B · 32K ctx · Apache-2.0
Fits at Q8_0 (~50GB) with ~20.4GB headroom — about 1 concurrent instance.
Q8_0 · ~50GBRuns well - CodeLlama 34BCodeLlama · ~34B · 16K ctx · Llama Community License
Fits at FP16 (~68GB) with ~2.4GB headroom — about 1 concurrent instance.
FP16 · ~68GBRuns well - Qwen2.5 32BQwen · ~32B · 128K ctx · Apache-2.0
Fits at FP16 (~64GB) with ~6.4GB headroom — about 1 concurrent instance.
FP16 · ~64GBRuns well - Qwen3 32BQwen · ~32B · 128K ctx · Apache-2.0
Fits at FP16 (~64GB) with ~6.4GB headroom — about 1 concurrent instance.
FP16 · ~64GBRuns well
Build a private AI Business OS on NVIDIA A100 80GB
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