YES - IT RUNS ON HARDWARE YOU CAN BUY
Llama 3.2 1B Instruct fits on individual rigs. Here's the hardware that runs it comfortably; the full per-quant VRAM matrix and tok/s estimates live on the
model page.
4x H100 80GB (320GB)
320GB
Q4_K_M
6698.1t/s
NVIDIA DGX Station 748GB
748GB
Q4_K_M
3998.8t/s
8x RTX 3090 rack (192GB)
192GB
Q4_K_M
3743.7t/s
4x RTX 5090 (128GB)
128GB
Q4_K_M
3583.0t/s
AMD Instinct MI300X (192GB)
192GB
Q4_K_M
2661.6t/s
4x RTX 4090 (96GB)
96GB
Q4_K_M
2015.4t/s
2x RTX 5090 (64GB)
64GB
Q4_K_M
1791.5t/s
2x RTX 3090 (48GB)
48GB
Q4_K_M
935.9t/s
Single RTX 5090 (32GB)
32GB
Q4_K_M
895.7t/s
RTX PRO 6000 Blackwell (96GB)
96GB
Q4_K_M
895.7t/s
Mac Studio M4 Ultra 192GB
192GB
Q4_K_M
595.5t/s
Mac Studio M4 Ultra 512GB
512GB
Q4_K_M
595.5t/s
Single RTX 4090 (24GB)
24GB
Q4_K_M
503.9t/s
MacBook Pro M5 Max 128GB
128GB
Q4_K_M
334.8t/s
Single GTX 1080 Ti (11GB)
11GB
Q4_K_M
241.9t/s
Dual EPYC 9004 + 768GB DDR5-4800
768GB
Q4_K_M
230.3t/s
DGX Spark 128GB unified
128GB
Q4_K_M
136.5t/s
Ryzen AI Max+ 395 128GB
128GB
Q4_K_M
128.0t/s
Jetson AGX Orin 64GB
64GB
Q4_K_M
102.4t/s
Epyc + 512GB DDR4-3200 + 2x RTX 3090
560GB
Q4_K_M
102.4t/s
Epyc + 512GB DDR4-2400 + 2x RTX 3090
560GB
Q4_K_M
76.8t/s
NVIDIA Jetson Orin NX 16GB
16GB
Q4_K_M
51.2t/s
Want the own-vs-rent payback (capex vs your monthly API bill)? The
budget tool
computes that against representative rigs.