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⇱ Can SmolLM3 3B Run on NVIDIA A800 80GB? YES (13.0/80.0GB)


Can SmolLM3 3B run on NVIDIA A800 80GB?

YES — Runs Great

C51Usable
Estimated from fit model

SmolLM3 3B needs ~13.0 GB VRAM. NVIDIA A800 80GB has 80.0 GB. With Q4_K_M quantization, expect ~42 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: HighStack: BasicBottleneck: Balanced
Share:

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) — 13.0 GB, 42.0 tok/s, Runs well
13.0 GB required80.0 GB available
16% VRAM used

Fit status

Runs well

Decode

42.0 tok/s

TTFT

4610 ms

Safe context

128K

Memory

13.0 GB / 80.0 GB

Memory breakdown

Weights1.8 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom8.0 GB

See how fast it feels

See how fast it feelsSmolLM3 3B 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: 42.0 tok/s decode · 4.6s TTFT (warm) · 105 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

WorkloadGradeFitDecodeTTFTContext
ChatCRuns well42.0 tok/s2514 ms128K
CodingCRuns well42.0 tok/s4610 ms128K
Agentic CodingCRuns well42.0 tok/s6705 ms128K
ReasoningCRuns well42.0 tok/s5448 ms128K
RAGCRuns well42.0 tok/s8381 ms128K

Quantization options

How SmolLM3 3B (3B params) fits at each quantization level on NVIDIA A800 80GB (80.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
1.2 GB
LowC47
Q3_K_S
3
1.5 GB
LowC47
NVFP4
4
1.7 GB
MediumC47
Q4_K_M
4
1.8 GB
MediumC47
Q5_K_M
5
2.2 GB
HighC47
Q6_K
6
2.5 GB
HighC47
Q8_0
8
3.2 GB
Very HighC47
F16Best for your GPU
16
6.1 GB
MaximumC48

Get started

Copy-paste commands to run SmolLM3 3B on your machine.

Run

lms load SmolLM3-3B && lms server start

Upgrade options

Hardware that runs SmolLM3 3B well

MacBook Pro M3 Max 128GBBudget pick
128 GB Unified (+48)
C
This setup is broadly balanced for this model.42 tok/s decode

~$2,499 MSRP

Mac Studio M2 Ultra 128GBBest value
128 GB Unified (+48)
C
This setup is broadly balanced for this model.42 tok/s decode

~$3,999 MSRP

👁 NVIDIA
NVIDIA DGX Spark 128GBNVIDIA upgrade
128 GB Unified (+48)
C
Adds memory headroom for longer context windows and future model growth.42 tok/s decode

Adds memory headroom for longer context windows and future model growth.

Frequently asked questions

See all results for NVIDIA A800 80GBSee all hardware for SmolLM3 3B