Can I Run Llama 3.2 Family on AMD Ryzen AI Max+ 395?
Written by Jakub Rusinowski · Last updated August 15, 2026
Yes, comfortably — Llama 3.2 90B Vision Instruct at Q4_K_M needs 57.8 GB at 8K context (53.6 GB weights + 4.2 GB KV cache/overhead), leaving ~70.2 GB of the AMD Ryzen AI Max+ 395's 128 GB, at ~3 tok/s (est.), with room for up to 64K context.
See what else this hardware can run →
or compare on Vast.ai from $0.77/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.
AMD Ryzen AI Max+ 395 Specs
| VRAM | 128 GB |
| Memory Bandwidth | 256 GB/s |
Llama 3.2 90B Vision Instruct on the AMD Ryzen AI Max+ 395: VRAM by quantization
| Quant | VRAM needed | Fits 128 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 181.8 GB | ✗ No | — | — |
| Q8_0 | 98.5 GB | ✓ Yes | 64K | — |
| Q6_K | 77 GB | ✓ Yes | 64K | — |
| Q5_K_M | 67.1 GB | ✓ Yes | 64K | — |
| Q4_K_M | 57.8 GB | ✓ Yes | 64K | — |
| Q3_K_M | 42 GB | ✓ Yes | 64K | — |
| Q2_K | 33.3 GB | ✓ Yes | 64K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 128 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 AMD Ryzen AI Max+ 395: 8K 57.8 GB · 32K 67.8 GB · 125K 106.8 GB. Every window this model publishes still fits 128 GB.
No compatible GPU? Llama 3.2 Family on 8 GB of system RAM, CPU only: runs.
Llama 3.2 Family Sizes That Fit the AMD Ryzen AI Max+ 395 (at 8K context)
| Llama 3.2 90B Vision Instruct | Q4_K_M · 57.8 GB at 8K context · ~3 tok/s (est.) |
| Llama 3.2 11B Vision Instruct | Q4_K_M · 8.5 GB at 8K context · ~22 tok/s (est.) |
| Llama 3.2 3B Instruct | Q4_K_M · 3.7 GB at 8K context · ~56 tok/s (est.) |
| Llama 3.2 1B Instruct | Q4_K_M · 1.8 GB at 8K context · ~114 tok/s (est.) |
Llama 3.2 Family needs ~58 GB but this GPU has 128 GB. Rent a A100 (80 GB)-class GPU by the hour instead of buying one:
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
Will Llama 3.2 Family run on the AMD Ryzen AI Max+ 395?
Yes, comfortably — Llama 3.2 90B Vision Instruct at Q4_K_M needs 57.8 GB at 8K context (53.6 GB weights + 4.2 GB KV cache/overhead), leaving ~70.2 GB of the AMD Ryzen AI Max+ 395's 128 GB, at ~3 tok/s (est.), with room for up to 64K context.
Which Llama 3.2 Family variant fits best on the AMD Ryzen AI Max+ 395?
Llama 3.2 90B Vision Instruct at Q4_K_M quantization needs 57.8 GB at 8K context (53.6 GB weights + 4.2 GB KV cache/overhead), estimated ~3 tokens/sec, up to 64K context.
Every Llama 3.2 Family size on the AMD Ryzen AI Max+ 395
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Llama 3.2 90B Vision Instruct | 57.8 GB | Runs | ~3 tok/s |
| Llama 3.2 11B Vision Instruct | 8.5 GB | Runs | ~22 tok/s |
| Llama 3.2 3B Instruct | 3.7 GB | Runs | ~56 tok/s |
| Llama 3.2 1B Instruct | 1.8 GB | Runs | ~114 tok/s |
Llama 3.2 Family on Other GPUs
- Llama 3.2 Family on Apple M4 Max
- Llama 3.2 Family on Apple M1 Ultra
- Llama 3.2 Family on Apple M5 Max
- Llama 3.2 Family on NVIDIA DGX Spark
Popular Models on the AMD Ryzen AI Max+ 395
VRAM Tier
Troubleshooting
Buying Guide
← Can I Run It? | Llama 3.2 Family Model Page | AMD Ryzen AI Max+ 395 GPU Page | VRAM calculator | Check Your Hardware