Can DeepSeek R1 Distill 14B run on NVIDIA A800 80GB?

YES — Runs Great

A72Great

Estimated from fit model

DeepSeek R1 Distill 14B needs ~20.7 GB VRAM. NVIDIA A800 80GB has 80.0 GB. With Q4_K_M quantization, expect ~191 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: HighStack: BasicBottleneck: Balanced

Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 20.7 GB, 190.9 tok/s, Runs well

20.7 GB required80.0 GB available

26% VRAM used

Fit status

Runs well

Decode

190.9 tok/s

TTFT

1014 ms

Safe context

33K

Memory

20.7 GB / 80.0 GB

Memory breakdown

Weights8.5 GB

KV Cache2.9 GB

Runtime1.2 GB

Headroom8.0 GB

See how fast it feels

See how fast it feelsDeepSeek R1 Distill 14B on NVIDIA A800 80GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.

Given information:
  - Speed = 60 mph (miles per hour)
  - Time  = 2.5 hours

Formula: Distance = Speed x Time

Calculation:
  Distance = 60 mph x 2.5 h
           = 150 miles

The train travels 150 miles.

Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.

Breakdown:
  - First half: 1.25 hours at 60 mph = 75 miles
  - Stop: 20 minutes (no distance)
  - Second half: 1.25 hours at 60 mph = 75 miles

Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph

The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 190.9 tok/s decode · 1.0s TTFT (warm) · 477 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

No major red flags

This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	A	Runs well	190.9 tok/s	553 ms	33K
Coding	A	Runs well	190.9 tok/s	1014 ms	33K
Agentic Coding	A	Runs well	190.9 tok/s	1475 ms	33K
Reasoning	A	Runs well	190.9 tok/s	1199 ms	33K
RAG	A	Runs well	190.9 tok/s	1844 ms	33K

Quantization options

How DeepSeek R1 Distill 14B (14B params) fits at each quantization level on NVIDIA A800 80GB (80.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	5.5 GB	Low	B64
Q3_K_S	3	6.9 GB	Low	B64
NVFP4	4	7.8 GB	Medium	B64
Q4_K_M	4	8.5 GB	Medium	B65
Q5_K_M	5	10.1 GB	High	B65
Q6_K	6	11.5 GB	High	B65
Q8_0	8	15.0 GB	Very High	B65
F16Best for your GPU	16	28.7 GB	Maximum	B68

Get started

Copy-paste commands to run DeepSeek R1 Distill 14B on your machine.

Run

ollama run deepseek-r1

Your hardware

More models your NVIDIA A800 80GB can run

Model	Params	Grade	Decode
Devstral 2 123B Instruct	123B	A	15.5 tok/s
Qwen3-Coder 30B A3B Instruct	30.5B	S	228.2 tok/s
Qwen 3.5 27B	27B	S	99 tok/s
Qwen 3.6 27B	27B	S	99.3 tok/s
Qwen 3.5 122B A10B	122B	A	45.9 tok/s

Frequently asked questions

Can NVIDIA A800 80GB run DeepSeek R1 Distill 14B?

Yes, NVIDIA A800 80GB can run DeepSeek R1 Distill 14B with a A grade (Runs well). Expected decode speed: 190.9 tok/s.

How much VRAM does DeepSeek R1 Distill 14B need?

DeepSeek R1 Distill 14B (14B parameters) requires approximately 20.7 GB of memory with Q4_K_M quantization.

What is the best quantization for DeepSeek R1 Distill 14B?

The recommended quantization for DeepSeek R1 Distill 14B is Q4_K_M, which balances quality and memory efficiency.

What speed will DeepSeek R1 Distill 14B run at on NVIDIA A800 80GB?

On NVIDIA A800 80GB, DeepSeek R1 Distill 14B achieves approximately 190.9 tokens per second decode speed with a time-to-first-token of 1014ms using Q4_K_M quantization.

Can NVIDIA A800 80GB run DeepSeek R1 Distill 14B for coding?

For coding workloads, DeepSeek R1 Distill 14B on NVIDIA A800 80GB receives a A grade with 190.9 tok/s and 33K context.

What context window can DeepSeek R1 Distill 14B use on NVIDIA A800 80GB?

On NVIDIA A800 80GB, DeepSeek R1 Distill 14B can safely use up to 33K tokens of context. The model's official context limit is 33K, but available memory constrains the safe maximum.

See all results for NVIDIA A800 80GB See all hardware for DeepSeek R1 Distill 14B

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Preview:

Workload

Grade

Fit

Decode

TTFT

Context

Chat

Runs well

190.9 tok/s

553 ms

33K

Coding

Runs well

190.9 tok/s

1014 ms

33K

Agentic Coding

Runs well

190.9 tok/s

1475 ms

33K

Reasoning

Runs well

190.9 tok/s

1199 ms

33K

RAG

Runs well

190.9 tok/s

1844 ms

33K

Quantization options

How DeepSeek R1 Distill 14B (14B params) fits at each quantization level on NVIDIA A800 80GB (80.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	5.5 GB	Low	B64
Q3_K_S	3	6.9 GB	Low	B64
NVFP4	4	7.8 GB	Medium	B64
Q4_K_M	4	8.5 GB	Medium	B65
Q5_K_M	5	10.1 GB	High	B65
Q6_K	6	11.5 GB	High	B65
Q8_0	8	15.0 GB	Very High	B65
F16Best for your GPU	16	28.7 GB	Maximum	B68

Model

Params

Grade

Decode

Capabilities

Devstral 2 123B Instruct

123B

15.5 tok/s

Qwen3-Coder 30B A3B Instruct

30.5B

228.2 tok/s

Qwen 3.5 27B

27B

99 tok/s

Qwen 3.6 27B

27B

99.3 tok/s

Qwen 3.5 122B A10B

122B

45.9 tok/s

Frequently asked questions

Can NVIDIA A800 80GB run DeepSeek R1 Distill 14B?

Yes, NVIDIA A800 80GB can run DeepSeek R1 Distill 14B with a A grade (Runs well). Expected decode speed: 190.9 tok/s.

How much VRAM does DeepSeek R1 Distill 14B need?

DeepSeek R1 Distill 14B (14B parameters) requires approximately 20.7 GB of memory with Q4_K_M quantization.

What is the best quantization for DeepSeek R1 Distill 14B?

The recommended quantization for DeepSeek R1 Distill 14B is Q4_K_M, which balances quality and memory efficiency.

What speed will DeepSeek R1 Distill 14B run at on NVIDIA A800 80GB?

On NVIDIA A800 80GB, DeepSeek R1 Distill 14B achieves approximately 190.9 tokens per second decode speed with a time-to-first-token of 1014ms using Q4_K_M quantization.

Can NVIDIA A800 80GB run DeepSeek R1 Distill 14B for coding?

For coding workloads, DeepSeek R1 Distill 14B on NVIDIA A800 80GB receives a A grade with 190.9 tok/s and 33K context.

What context window can DeepSeek R1 Distill 14B use on NVIDIA A800 80GB?

On NVIDIA A800 80GB, DeepSeek R1 Distill 14B can safely use up to 33K tokens of context. The model's official context limit is 33K, but available memory constrains the safe maximum.