Strix HaloAvailable
GMKtec EVO-X2
Ryzen AI Max+ 395, 64GB / 1TB
$2,200at GMKtec store
Cheapest that fits. Lowest price we've seen on any tracked rig that holds Llama 3.3 70B at 4-bit (46 of 48 GB usable).
Tight fit~5 tok/sQ4_K_M
Check priceMeta · 70B total / 70B active · dense
Best hardware to run Llama 3.3 70B locally
Llama 3.3 70B needs about 46 GB at Q4_K_M. 12 of the 17 priced rigs we track can hold it. Here's the cheapest, the best value and the fastest. Prices & stock checked 2026-10-23. Prices change daily and some retailers block our checker, so always confirm on the store page.
Our picks
Mac StudioAvailable
Mac Studio M5 Ultra
30-core CPU / 64-core GPU, 96GB
$5,499at Apple Store
Best value. Lowest price per token/sec among complete systems where it fits comfortably: about $241 per tok/s at 4-bit.
Fits~23 tok/sQ4_K_M
Check price
RTX PRO 6000Out of stock
PNY NVIDIA RTX PRO 6000 Blackwell
96GB card
$17,899at B&H Photo
Fastest. Most memory bandwidth of the rigs that fit it (1,792 GB/s), so the quickest decode: ~34 tok/s at 4-bit.
Fits~34 tok/sQ4_K_M
Suggested quant: Q8_0 (~20 tok/s)
GPU price is card only: you still need a host PC.
Check priceWhich quant to use
Use Q4_K_M on most rigs: it needs ~46 GB. Q8_0 (~80 GB) is a bit more accurate and fits comfortably on 1 of these rigs, e.g. the PNY NVIDIA RTX PRO 6000 Blackwell.
Every rig that fits it
| Machine | Price | 4-bit fit & speed | Suggested quant | $ per tok/s |
|---|---|---|---|---|
| GMKtec EVO-X2Strix Halo | $2,200 | Tight fit~5 tok/s | Q4_K_M | $456 |
| Framework Desktop DIYStrix Halo | $3,449 | Fits~5 tok/s | Q4_K_M | $715 |
| GMKtec EVO-X2Strix Halo | $3,500 | Fits~5 tok/s | Q4_K_M | $726 |
| Minisforum MS-S1 MaxStrix Halo | $3,919 | Fits~5 tok/s | Q4_K_M | $812 |
| Beelink GTR9 ProStrix Halo | $4,349 | Fits~5 tok/s | Q4_K_M | $902 |
| Mac Studio M5 UltraMac Studio | $5,499 | Fits~23 tok/s | Q4_K_M | $241 |
| Lenovo ThinkStation PGXDGX Spark / GB10 | $5,859 | Fits~5 tok/s | Q4_K_M | $1,183 |
| ASUS Ascent GX10DGX Spark / GB10 | $5,999 | Fits~5 tok/s | Q4_K_M | $1,211 |
| NVIDIA DGX SparkDGX Spark / GB10 | $6,950 | Fits~5 tok/s | Q4_K_M | $1,403 |
| HP ZGX Nano G1nDGX Spark / GB10 | $7,699 | Fits~5 tok/s | Q4_K_M | $1,554 |
| Gigabyte AI TOP ATOMDGX Spark / GB10 | $8,499 | Fits~5 tok/s | Q4_K_M | $1,716 |
| PNY NVIDIA RTX PRO 6000 BlackwellRTX PRO 6000 (card only, needs a host PC) | $17,899 | Fits~34 tok/s | Q8_0 | $529 |
Sorted by lowest price. Speeds are estimated single-user decode at ~8K context. Full fit table, including rigs that don't fit: Llama 3.3 70B memory requirements. How we estimate
FAQ
How much memory does Llama 3.3 70B need?
About 46 GB at Q4_K_M and 80 GB at Q8_0, including runtime overhead and ~8K tokens of context for one user. Longer context needs more.
What's the cheapest hardware to run Llama 3.3 70B locally?
Of the rigs we track, the GMKtec EVO-X2 at $2,200, estimated ~5 tok/s at 4-bit. Prices checked 2026-10-23.
Which quant should I use for Llama 3.3 70B?
Q4_K_M is the default: about 46 GB. Q8_0 needs about 80 GB; use it only if you have the room and still get usable speed.
How fast does Llama 3.3 70B run?
It has 70B active parameters per token, so speed is set by memory bandwidth: from ~5 tok/s on the slowest rig that fits to ~34 tok/s on the PNY NVIDIA RTX PRO 6000 Blackwell. Estimates, not benchmarks.