L
localai.computer
ModelsGPUsSystemsAI SetupsBuildsOpenClawMethodology

Resources

  • Methodology
  • Submit Benchmark
  • About

Browse

  • AI Models
  • GPUs
  • PC Builds

Guides

  • OpenClaw Guide
  • How-To Guides

Legal

  • Privacy
  • Terms
  • Contact

© 2025 localai.computer. Hardware recommendations for running AI models locally.

ℹ️We earn from qualifying purchases through affiliate links at no extra cost to you. This supports our free content and research.

Can NVIDIA A100 80GB SXM4 run TinyLlama/TinyLlama-1.1B-Chat-v1.0?

Runs Q480GB VRAM availableRequires 1GB+

NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of TinyLlama/TinyLlama-1.1B-Chat-v1.0. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA A100 80GB SXM4 can run TinyLlama/TinyLlama-1.1B-Chat-v1.0 with Q4 quantization. At approximately 336 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 79GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q41GB80GB335.67 tok/s✅ Fits comfortably
Q81GB80GB222.75 tok/s✅ Fits comfortably
FP162GB80GB141.46 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
963.68 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
899.94 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
623.30 tok/s
Price: —
AMD Instinct MI300X
192GB
619.59 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
537.92 tok/s
Price: —

More questions

NVIDIA A100 80GB SXM4 specs & pricingFull guide for TinyLlama/TinyLlama-1.1B-Chat-v1.0TinyLlama/TinyLlama-1.1B-Chat-v1.0 speed on NVIDIA A100 80GB SXM4TinyLlama/TinyLlama-1.1B-Chat-v1.0 Q4 requirements