llmrun

AMD · CDNA 4

Best AI Models for AMD Instinct MI350X (288 GB)

Runs everything up to 120B MoE well.

288 GB HBM3e8000 GB/s2307 TFLOPS FP161000 WCDNA 4 2025

Datacenter CDNA4 accelerator — cloud/server only. Listed for comparison.

What LLMs can the Instinct MI350X run?

#ModelSpeedllmrun ScoreQuant · VRAM
1
Q4_K_M · 186.5 GB · 87.1 t/s
87.1 tok/sQ4_K_M · 186.5 GB
2
Q4_K_M · 183.0 GB · 83.2 t/s
83.2 tok/sQ4_K_M · 183.0 GB
3
Q4_K_M · 205.2 GB · 88.4 t/s
88.4 tok/sQ4_K_M · 205.2 GB
4
Q4_K_M · 17.9 GB · 276 t/s
276 tok/sQ4_K_M · 17.9 GB
5
Hy3Tencent
Q4_K_M · 182.3 GB · 53.7 t/s
53.7 tok/sQ4_K_M · 182.3 GB
See all 433 models on the Instinct MI350X →Best quant that fits · speeds estimated on this card

About the Instinct MI350X

The Instinct MI350X runs everything up to 120B MoE well. CDNA 4 generation, released 2025.

GenerationCDNA 4released 2025

Instinct MI350X strengths and weaknesses

Strengths

  • Runs 120B MoE models: GPT OSS 120B at 126 tok/s in 70.8 GB
  • Room for long context: Llama 3.3 70B Instruct at Q4 uses 51.3 GB, leaving 236.7 GB free
  • Reads long prompts fast: A 4K-token prompt on MiMo V2.6 Flash RL starts answering in 242 ms

Weaknesses

  • 1000 W under load: Plan a 2,000 W PSU; ≈$219 a year at 4 h a day

Instinct MI350X tokens per second by model size

Output speed depends on memory bandwidth (8000 GB/s).

  1. 9BQwen3.5 9B · Q4_K_M · 6.6 GB
    755tok/s
  2. 14BQwen3 14B · Q4_K_M · 11.9 GB
    505tok/s
  3. 27–31BQwen3.8 27B · Q4_K_M · 17.9 GB
    276tok/s
  4. 35B MoEQwen3.6 35B A3B · Q4_K_M · 22.0 GB
    116tok/s
  5. 70BLlama 3.3 70B Instruct · Q4_K_M · 51.3 GB
    103tok/s
  6. 120B MoEGPT OSS 120B · Q4_K_M · 70.8 GB
    126tok/s

Estimated speeds: Q4_K_M, 4K context, one user. How we estimate

All 1341 models on the Instinct MI350X

Featured only

Best quant that fits, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works

LLM models compatible with AMD Instinct MI350X — ranked by Score, recency and Fit
ModelVRAMScoreFit
BF16·150.8 t/s
24.8 GBS97, Runs great
Q4_K_M·490.8 t/s
21.5 GBS100, Runs great
Q4_K_M·490.8 t/s
11.5 GBS100, Runs great
Q4_K_M·172.6 t/s
10.1 GBS98, Runs great
Q4_K_M·5052.6 t/s
0.9 GBS100, Runs great
Phi 3.5 Vision Instruct
Q4_K_M·1337.0 t/s
9.2 GBS100, Runs great
Q4_K_M·107.6 t/s
49.3 GBS92, Runs great
Q4_K_M·1481.5 t/s
3.6 GBS100, Runs great
Granite 3.1 2B Instruct
Q4_K_M·2412.1 t/s
3.2 GBS100, Runs great
Q4_K_M·890.5 t/s
7.3 GBS100, Runs great
Llama 3.2 90B Vision Instruct
Q4_K_M·82.1 t/s
63.5 GBS88, Runs great
Q4_K_M·1804.5 t/s
2.7 GBS100, Runs great
LFM2 1.2B
Q4_K_M·4486.0 t/s
1.2 GBS100, Runs great
DeepSeek v3 0324
IQ3_XXS·64.6 t/s
266.7 GBB62, Decent
Q4_K_M·12973.0 t/s
0.4 GBS100, Runs great

Instinct MI350X specs, power and PSU

Specs

Architecture
CDNA 4
VRAM
288 GB HBM3e
Memory bandwidth
8000.0 GB/s
FP16 (dense)
2306.90 TFLOPS
Stream processors
16,384
TDP
1000 W
Released
2025-06-12

Instinct MI350X FAQ

What is the largest model the Instinct MI350X can run?

Beam 1.0 501B A23B (501.3B) is the largest at 4-bit or better: at Q4_K_S it uses 285.2 GB of 288 GB, and runs at about 76.0 tok/s.

Can the Instinct MI350X run MiMo V2.6 Flash RL?

Yes. MiMo V2.6 Flash RL fits at Q4_K_M, using 186.5 GB of 288 GB, and it is the best model that runs well on this card.

How many tokens per second does the Instinct MI350X give?

About 87.1 tok/s on MiMo V2.6 Flash RL at Q4_K_M, with the first token after 0.2 s on a 4K-token prompt.

What power supply does the Instinct MI350X need?

Plan a 2000 W PSU (2× the 1000 W TDP).

Is 288 GB enough for coding and agents?

Yes for coding: MiMo V2.6 Flash RL, the best of the 25 coding models that fit, runs at about 87 tok/s.