Can I Run Gemma 4 on Intel Arc B570?
Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, but it's tight — Gemma 4 12B (Unified) at Q4_K_M needs 9.4 GB at 8K context (7.2 GB weights + 2.2 GB KV cache/overhead), leaving ~0.6 GB of the Intel Arc B570's 10 GB, at ~26 tok/s (est.), with room for up to 8K context.
See what else this hardware can run →
or compare on Vast.ai from $0.35/hr (typical low · varies)
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
Intel Arc B570 Specs
| VRAM | 10 GB |
| Memory Bandwidth | 380 GB/s |
Gemma 4 12B (Unified) on the Intel Arc B570: VRAM by quantization
| Quant | VRAM needed | Fits 10 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 26.1 GB | ✗ No | — | — |
| Q8_0 | 14.9 GB | ✗ No | — | — |
| Q6_K | 11.9 GB | ✗ No | — | — |
| Q5_K_M | 10.6 GB | ✗ No | — | — |
| Q4_K_M | 9.4 GB | ✓ Yes | 8K | — |
| Q3_K_M | 7.2 GB | ✓ Yes | 16K | — |
| Q2_K | 6.1 GB | ✓ Yes | 32K | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 10 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the Intel Arc B570: 8K 9.4 GB · 32K 13.3 GB ✗ · 125K 28.5 GB ✗. Past 32K it no longer fits 10 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Gemma 4 12B (Unified) on 16 GB of system RAM, CPU only: runs, but it is tight.
Gemma 4 Sizes That Fit the Intel Arc B570 (at 8K context)
| Gemma 4 12B (Unified) | Q4_K_M · 9.4 GB at 8K context · ~26 tok/s (est.) |
| Gemma 4 E4B | Q4 (QAT) · 6.4 GB at 8K context · ~38 tok/s (est.) |
| Gemma 4 E2B | Q4 (QAT) · 4.7 GB at 8K context · ~53 tok/s (est.) |
At 2 hrs/day, buying (~$219) beats renting at $0.34/hr after about 11 months.
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Can I run Gemma 4 on the Intel Arc B570?
Yes, but it's tight — Gemma 4 12B (Unified) at Q4_K_M needs 9.4 GB at 8K context (7.2 GB weights + 2.2 GB KV cache/overhead), leaving ~0.6 GB of the Intel Arc B570's 10 GB, at ~26 tok/s (est.), with room for up to 8K context.
What's the best Gemma 4 size for the Intel Arc B570?
Gemma 4 12B (Unified) at Q4_K_M quantization needs 9.4 GB at 8K context (7.2 GB weights + 2.2 GB KV cache/overhead), estimated ~26 tokens/sec, up to 8K context.
Every Gemma 4 size on the Intel Arc B570
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Gemma 4 31B | 21.3 GB | Does not fit | — |
| Gemma 4 26B-A4B | 18.2 GB | Does not fit | — |
| Gemma 4 12B (Unified) | 9.4 GB | Runs | ~26 tok/s |
| Gemma 4 E4B | 6.4 GB | Runs | ~38 tok/s |
| Gemma 4 E2B | 4.7 GB | Runs | ~53 tok/s |
Gemma 4 on Other GPUs
- Gemma 4 on NVIDIA GeForce RTX 3080 (10GB)
- Gemma 4 on NVIDIA GeForce RTX 5070
- Gemma 4 on NVIDIA GeForce RTX 5060 Ti 8GB
- Gemma 4 on NVIDIA GeForce RTX 5060
- Gemma 4 on NVIDIA GeForce RTX 4070 Ti
Popular Models on the Intel Arc B570
VRAM Tier
Troubleshooting
- Ollama: "model requires more system memory than is available"
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
← Can I Run It? | Gemma 4 Model Page | Intel Arc B570 GPU Page | VRAM calculator | Check Your Hardware