作者： Jakub Rusinowski · 最后更新： 2026年7月12日
Yes, comfortably — you'll have ~270.5 GB of headroom running Llama 4 Maverick 17B at Q4_K_M (241.5 GB, ~36 tok/s (est.)) with room for up to 1M context.
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| VRAM | 512 GB unified memory |
| Memory Bandwidth | 819 GB/s |
| Quant | VRAM needed | Fits 512 GB? | Max context |
|---|---|---|---|
| F16 | 801.6 GB | ✗ No | — |
| Q8_0 | 426.6 GB | ✓ Yes | 256K |
| Q6_K | 329.6 GB | ✓ Yes | 512K |
| Q5_K_M | 285.1 GB | ✓ Yes | 1M |
| Q4_K_M | 243.1 GB | ✓ Yes | 1M |
| Q3_K_M | 172.1 GB | ✓ Yes | 1M |
| Q2_K | 133.1 GB | ✓ Yes | 1M |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 512 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Llama 4 Maverick 17B | Q4_K_M · 241.5 GB · ~36 tok/s (est.) |
| Llama 4 Scout 17B | Q4_K_M · 65.80875 GB · ~36 tok/s (est.) |
At 2 hrs/day, buying (~$3,999) beats renting at $23.12/hr after about 3 months.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Yes, comfortably — you'll have ~270.5 GB of headroom running Llama 4 Maverick 17B at Q4_K_M (241.5 GB, ~36 tok/s (est.)) with room for up to 1M context.
Llama 4 Maverick 17B at Q4_K_M quantization (241.5 GB), estimated ~36 tokens/sec, up to 1M context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Llama 4 Maverick 17B | 241.5 GB | Runs | ~36 tok/s |
| Llama 4 Scout 17B | 65.8 GB | Runs | ~36 tok/s |
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