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Hardware to run Llama 3.1 405B

Dense 405 B — heavy bandwidth need. Now eclipsed by DeepSeek V4-Pro, Kimi K2.6 and GLM-5.1 on every coding/agent benchmark; kept for chat-only setups with 256+ GB. Q2 fits in 2× DGX Spark cluster or M3 Ultra 256.

Llama · text
Llama 3.1 405B
405 B params 230 GB Q4 file 256 GB min Q4 305 GB min Q5 492 GB min Q8 128K ctx Llama 3.1 Community 🤗
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Quantization
Availability
Cheapest

4× Strix Halo cluster (512 GB unified)

AMD · rack of 4 mini-PCs, 10 GbE fabric
$11,500
tokens / secQ4
120B-MoE 55 t/s
235B-MoE 24 t/s
671B-MoE 5.0 t/s
Memory512 GB · 384 usable
Bandwidth256 GB/s
Idle / Active32 W / 480 W
Sticker$11,500
Why: Lowest sticker that still fits Llama 3.1 405B ($12k USD).
Fastest

12× RTX Pro 6000 Blackwell rack (1152 GB)

NVIDIA · 8U server rack (multi-node, 1-2 chassis)
$118,000
tokens / secQ4
120B-MoE
235B-MoE 260 t/s
671B-MoE 95 t/s
Memory1152 GB · 1116 usable
Bandwidth1792 GB/s
Idle / Active340 W / 7400 W
Sticker$118,000
Why: Highest measured tg/s — 78 t/s on Llama 3.1 405B-class models at Q4.
All-rounder

Single AMD Instinct MI355X 288 GB workstation

AMD · 4U server (OAM, liquid-cooled)
$28,000
tokens / secQ4
120B-MoE 320 t/s
235B-MoE 130 t/s
671B-MoE 50 t/s
Memory288 GB · 282 usable
Bandwidth8000 GB/s
Idle / Active140 W / 1400 W
Sticker$28,000
Why: Top quartile across speed, value, memory headroom, and efficiency — the "buy this if unsure" pick.
Best value

Quad RTX Pro 6000 Blackwell build (384 GB)

NVIDIA · workstation / 4U pedestal
$38,000
tokens / secQ4
120B-MoE
235B-MoE 145 t/s
671B-MoE 40 t/s
Memory384 GB · 372 usable
Bandwidth1792 GB/s
Idle / Active100 W / 2200 W
Sticker$38,000
Why: Best $/tg-per-second — ~$874 per t/s.
Best CUDA

8× RTX Pro 6000 Blackwell server (768 GB)

NVIDIA · 4U server (e.g. SuperMicro AS-4125GS-TNRT)
$78,000
tokens / secQ4
120B-MoE
235B-MoE 220 t/s
671B-MoE 75 t/s
Memory768 GB · 744 usable
Bandwidth1792 GB/s
Idle / Active220 W / 4800 W
Sticker$78,000
Why: Strongest CUDA-only software stack among fitting builds.
Most VRAM

DGX B200 — 8× B200 server (1.44 TB HBM3e)

NVIDIA · 10U DGX server
$475,000
tokens / secQ4
120B-MoE 330 t/s
235B-MoE 165 t/s
671B-MoE 105 t/s
Memory1440 GB · 1404 usable
Bandwidth8000 GB/s
Idle / Active900 W / 10200 W
Sticker$475,000
Why: 1404 GB usable — most headroom for batching and longer contexts.
Efficient

Mac Studio M3 Ultra 512 GB

Apple · small desktop
$14,199
tokens / secQ4
120B-MoE 55 t/s
235B-MoE 22 t/s
671B-MoE 8.0 t/s
Memory512 GB · 480 usable
Bandwidth819 GB/s
Idle / Active12 W / 220 W
Sticker$14,199
Why: 220 W active — lowest power draw of the fitting builds.
Cheapest

Mac Studio M3 Ultra 512 GB

Apple · small desktop
$14,199
tokens / secQ4
120B-MoE 55 t/s
235B-MoE 22 t/s
671B-MoE 8.0 t/s
Memory512 GB · 480 usable
Bandwidth819 GB/s
Idle / Active12 W / 220 W
Sticker$14,199
Why: Lowest sticker that still fits Llama 3.1 405B ($14k USD).
Fastest

Single AMD Instinct MI355X 288 GB workstation

AMD · 4U server (OAM, liquid-cooled)
$28,000
tokens / secQ4
120B-MoE 320 t/s
235B-MoE 130 t/s
671B-MoE 50 t/s
Memory288 GB · 282 usable
Bandwidth8000 GB/s
Idle / Active140 W / 1400 W
Sticker$28,000
Why: Highest measured tg/s — 39 t/s on Llama 3.1 405B-class models at Q4.

Every other build that runs Llama 3.1 405B

6 additional builds fit Llama 3.1 405B at Q4_K_M (256 GB usable minimum), sorted by sticker price.

BuildPriceMemoryBandwidthtg/s (Q4)Active W5-yr power
$20k512 / 488 GB273 GB/s9.6 t/s920 W$3.4k
8× Strix Halo cluster (1024 GB unified)AMD · rack of 8 mini-PCs, 10/25 GbE fabric
$23k1024 / 768 GB256 GB/s9.6 t/s960 W$3.4k
2× Mac Studio M3 Ultra 512 GB cluster (TB5 / MLX)Apple · two desktops, Thunderbolt 5 RDMA
$28k1024 / 960 GB819 GB/s8.7 t/s440 W$1.5k
8× DGX Spark cluster (1024 GB unified, CUDA)NVIDIA · rack of 8 desktops, 200 GbE fabric
$44k1024 / 976 GB273 GB/s13 t/s1840 W$7k
8× H100 80 GB serverNVIDIA · server rack
$280k640 / 620 GB3350 GB/s33 t/s5600 W$20k
DGX H200 — 8× H200 server (1.13 TB HBM3e)NVIDIA · 8U DGX / HGX server rack
$380k1128 / 1100 GB4800 GB/s47 t/s6500 W$24k
Open in the live picker (Q2 / Q5 / Q8 toggles) → Compare Llama 3.1 405B against other LLMs → Pick LLMs for your hardware → Submit a benchmark for Llama 3.1 405B ↗

Sources

Last updated 2026-07-11