NVIDIA
A100 80GB
Practical deployment guidance for this machine, using conservative fit estimates instead of marketing-style claims.
- Memory
- 80 GB VRAM
- System RAM
- 256 GB
- Bandwidth
- 1935 GB/s
- Preferred backend
- vLLM
Hardware notes
- Server-class accelerator with enough headroom for serious 70B deployments.
- Designed for higher concurrency and more stable long-context serving.
Comfortable fits
Llama 3.1 8B Instruct
comfortableQ4 at 8k context is estimated at 6.44 GB total and 90-150 tok/s.
Phi-4
comfortableQ4 at 8k context is estimated at 10.86 GB total and 90-150 tok/s.
Qwen2.5 Coder 14B Instruct
comfortableQ4 at 8k context is estimated at 11.3 GB total and 90-150 tok/s.
Gemma 3 27B IT
comfortableQ4 at 8k context is estimated at 20.6 GB total and 73-123 tok/s.
Borderline fits
This machine either fits the small set comfortably or falls straight into no-fit territory.
Backend support
These are the runtimes currently associated with this hardware profile.
vLLMllama.cpp
Use the live calculator
The calculator lets you change context length, runtime, quantization, and concurrency instead of relying on a fixed profile.