Intel Arc A580 8GBコスパ重視8 GB VRAM (+2)512 GB/s (+326)
B
Adds memory headroom for longer context windows and future model growth.42 tok/sデコード
Adds memory headroom for longer context windows and future model growth.
〜$179 MSRP
Can SmolLM3 3B run on Intel Arc A380 6GB?
YES — Tight Fit
B59Good
Estimated from fit model
SmolLM3 3B needs ~5.3 GB VRAM. Intel Arc A380 6GB has 6.0 GB. With Q4_K_M quantization, expect ~42 tok/s.
Runtime: llama.cppCapacity: TightBandwidth: Very lowStack: StandardBottleneck: Memory bandwidth
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.
Select quantization to explore
Q4_K_M (Medium quality) — 5.3 GB, 42.0 tok/s, Tight fit
5.3 GB required6.0 GB available
88% VRAM used
Fit status
Tight fit
Decode
42.0 tok/s
TTFT
4610 ms
Safe context
22K
Memory
5.3 GB / 6.0 GB
Memory breakdown
Weights1.8 GB
KV Cache2.0 GB
Runtime0.9 GB
Headroom0.6 GB
See how fast it feels
See how fast it feelsSmolLM3 3B on Intel Arc A380 6GB
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
The raw memory story may look fine, but the software ecosystem is still a constraint here.
Runtime ecosystem is narrower than CUDA
Intel GPUs can look attractive on memory per dollar, but local AI tooling, kernels, and model coverage are still broader and easier on CUDA today.
Best improvement path
Prefer CUDA if you want the path of least resistance
If your goal is maximum runtime coverage, easier troubleshooting, and better support for new local AI releases, CUDA is usually still the safer upgrade path.
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 42.0 tok/s | 2514 ms | 22K |
| Coding | B | Tight fit | 42.0 tok/s | 4610 ms | 22K |
| Agentic Coding | F | Too heavy | 27.1 tok/s | 10403 ms | 22K |
| Reasoning | B | Tight fit | 42.0 tok/s | 5448 ms | 22K |
| RAG | F | Too heavy | 27.1 tok/s | 13004 ms | 22K |
Quantization options
How SmolLM3 3B (3B params) fits at each quantization level on Intel Arc A380 6GB (6.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.2 GB | Low | B61 |
Q3_K_S | 3 | 1.5 GB | Low | B62 |
NVFP4 | 4 | 1.7 GB | Medium | B62 |
Q4_K_M | 4 | 1.8 GB | Medium | B63 |
Q5_K_M | 5 | 2.2 GB | High | B62 |
Q6_K | 6 | 2.5 GB | High | B62 |
Q8_0Best for your GPU | 8 | 3.2 GB | Very High | B62 |
F16 | 16 | 6.1 GB | Maximum | F0 |
Get started
Copy-paste commands to run SmolLM3 3B on your machine.
Run
lms load SmolLM3-3B && lms server startアップグレードオプション
SmolLM3 3Bを快適に動かすハードウェア
Intel Arc A580 8GBコスパ重視Intel Arc B570 10GBコスパ最良10 GB VRAM (+4)380 GB/s (+194)
B
Adds memory headroom for longer context windows and future model growth.42 tok/sデコード
Adds memory headroom for longer context windows and future model growth.
〜$219 MSRP
Intel Arc A750 8GBIntelアップグレード8 GB VRAM (+2)512 GB/s (+326)
B
Adds memory headroom for longer context windows and future model growth.42 tok/sデコード
Adds memory headroom for longer context windows and future model growth.
〜$289 MSRP
Frequently asked questions
Can Intel Arc A380 6GB run SmolLM3 3B?
Yes, Intel Arc A380 6GB can run SmolLM3 3B with a B grade (Tight fit). Expected decode speed: 42.0 tok/s.
How much VRAM does SmolLM3 3B need?
SmolLM3 3B (3B parameters) requires approximately 5.3 GB of memory with Q4_K_M quantization.
What is the best quantization for SmolLM3 3B?
The recommended quantization for SmolLM3 3B is Q4_K_M, which balances quality and memory efficiency.
What speed will SmolLM3 3B run at on Intel Arc A380 6GB?
On Intel Arc A380 6GB, SmolLM3 3B achieves approximately 42.0 tokens per second decode speed with a time-to-first-token of 4610ms using Q4_K_M quantization.
Can Intel Arc A380 6GB run SmolLM3 3B for coding?
For coding workloads, SmolLM3 3B on Intel Arc A380 6GB receives a B grade with 42.0 tok/s and 22K context.
What context window can SmolLM3 3B use on Intel Arc A380 6GB?
On Intel Arc A380 6GB, SmolLM3 3B can safely use up to 22K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.
What should I upgrade first if SmolLM3 3B feels slow on Intel Arc A380 6GB?
Prefer CUDA if you want the path of least resistance. If your goal is maximum runtime coverage, easier troubleshooting, and better support for new local AI releases, CUDA is usually still the safer upgrade path.
Would CUDA be a better path than Intel Arc A380 6GB for SmolLM3 3B?
Often yes, if your goal is the easiest setup and the widest runtime support. Intel can offer attractive memory capacity, but CUDA still tends to win on tooling maturity, guides, kernels, and model coverage for local AI.
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