Where do the NVIDIA A100 PCIe 80GB benchmark numbers come from?

Synthetic benchmarks are aggregated from TechPowerUp, PassMark, Geekbench Browser, and Cinebench leaderboards. AI inference tokens-per-second results come from the LocalLLaMA community (Reddit threads, llama.cpp / Ollama discussion logs). Every benchmark row carries an inline source citation; click through to verify the original number.

NVIDIA A100 PCIe 80GB Benchmarks & Specs

Q: Can the NVIDIA A100 PCIe 80GB run local LLMs?

Yes — NVIDIA A100 PCIe 80GB has 40 AI inference benchmark results on file (model + tokens-per-second numbers visible in the AI Inference Performance section). With 80 GB VRAM, 32B-parameter open-weight models fit at Q4 quantization comfortably.

Q: Where can I buy the NVIDIA A100 PCIe 80GB?

Active Amazon listings are linked at the top of this page and in the Products Featuring This Hardware section below. SpecPicks earns a small affiliate commission on qualifying purchases (no extra cost to the buyer).

Bottom line: how fast is the NVIDIA A100 PCIe 80GB?

For local LLM inference it generates 1133.6 tokens/sec running deepseek-r1:14b at FP16 under vllm, per DatabaseMart. Its 80 GB of VRAM is the binding constraint for local inference: that capacity fits 70B-parameter open-weight models at Q4 without offloading.

Every figure above is a row in the tables below, and each row links out to the review or public benchmark database the number was taken from. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

The NVIDIA A100 PCIe 80GB is a graphics card from the Ampere family released in 2021 from NVIDIA. Key on-paper specs include 80 GB of GDDR VRAM, 300W TDP. It launched with a $15,000 MSRP, though street prices typically diverge meaningfully from launch pricing — see the linked product cards below for current Amazon listings. Data on this page draws on 12 community AI inference reports, aggregated from public benchmark databases (TechPowerUp, PassMark, Geekbench, Cinebench) and the LocalLLaMA community. Read this page when shopping the NVIDIA A100 PCIe 80GB, comparing it against other graphics cards in your build, or sizing it for a specific workload (gaming at 1080p/1440p/4K, productivity benchmarks, or local LLM inference).

AI Inference Performance

Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.

Local LLM inference throughput on the NVIDIA A100 PCIe 80GB, in generated tokens per second. Higher is better; each row links to the community report or benchmark database it came from.
Model	Quantization	Tokens/sec	VRAM used	Source
deepseek-r1:14b	FP16 vllm	1133.6 tok/s	28.0 GB	DatabaseMart 2026-08-25
llama3:70b	AWQ-4bit other	700.0 tok/s	—	BentoML 2024-06-05
llama3.3:70b	BF16 tgi	570.0 tok/s	—	Silex Data Blog 2025-01-01
llama-3.3-70b-instruct	BF16 tensorrt-llm	570.0 tok/s	—	Silex Data 2025-02-01
qwq:32b	FP16 vllm	522.2 tok/s	62.0 GB	DatabaseMart 2026-08-25
deepseek-r1:32b	FP16 vllm	472.2 tok/s	62.0 GB	DatabaseMart 2026-08-25
deepseek-r1-distill-qwen:32b	BF16 vllm	472.2 tok/s	62.0 GB	Databasemart.com 2025-03-01
gemma2:27b	FP16 vllm	302.3 tok/s	51.0 GB	DatabaseMart 2026-08-25
gemma2:27b	BF16 vllm	302.3 tok/s	51.0 GB	Databasemart.com 2025-03-01
llama2:7b	Q4_0 llama.cpp	200.9 tok/s	—	llama.cpp GitHub 2024-06-01
llama3.1:8b	Q4_K_M vllm	142.0 tok/s	6.0 GB	Markaicode 2024-10-01
llama3.1:8b	q4_K_M vllm	142.0 tok/s	6.0 GB	Markaicode 2026-07-04

Full Specifications

tdp w	300
vram gb	80
cuda cores	6912
memory type	HBM2e

NVIDIA A100 PCIe 80GB — Frequently Asked Questions

What is the NVIDIA A100 PCIe 80GB best used for?

NVIDIA A100 PCIe 80GB is positioned as a 80 GB VRAM Ampere-family graphics card. Use it for high-end 4K gaming and local LLM inference. See the synthetic + AI benchmark tables below for measured performance.

When was the NVIDIA A100 PCIe 80GB released, and what was its launch MSRP?

NVIDIA A100 PCIe 80GB launched in 2021 at a $15,000 MSRP. Street prices diverge from launch pricing over a product's lifetime — check the linked Amazon listings on this page for current availability.

Where do the benchmark numbers on this page come from?

Synthetic benchmarks are scraped from public databases (TechPowerUp, PassMark, Geekbench Browser, Cinebench leaderboards). AI inference numbers come from the LocalLLaMA community (Reddit threads, llama.cpp / Ollama discussion logs, and Phoronix when available). Every benchmark row carries an inline source citation — click through to verify the original number.

Can the NVIDIA A100 PCIe 80GB run local LLMs?

Yes — NVIDIA A100 PCIe 80GB has 12 AI inference benchmarks on file (see the AI Inference Performance section above for model + tokens-per-second numbers). With 80 GB VRAM, it fits the popular 32B-parameter open-weight models at Q4 quantization comfortably.

Where can I buy the NVIDIA A100 PCIe 80GB?

Active Amazon listings aren't on file for this exact SKU yet. See the linked benchmark sources and the Compare tool for adjacent parts that may be in stock — and check the /benchmarks index for the latest curated picks in this category.