llmrun

NVIDIA · Blackwell Ultra

Best AI Models for NVIDIA B300 (288 GB)

Runs everything up to 120B MoE well.

288 GB HBM3e8000 GB/s3750 TFLOPS FP161400 WBlackwell Ultra 2025

Datacenter Blackwell Ultra — rack/cloud only, not a desktop card. Listed for comparison.

What LLMs can the B300 run?

#ModelSpeedCoding ScoreQuant · VRAM
1
Q4_K_M · 186.5 GB · 229 t/s
229 tok/sQ4_K_M · 186.5 GB
2
Q4_K_M · 183.0 GB · 181 t/s
181 tok/sQ4_K_M · 183.0 GB
3
Q4_K_M · 17.9 GB · 299 t/s
299 tok/sQ4_K_M · 17.9 GB
4
Q4_K_M · 205.2 GB · 217 t/s
217 tok/sQ4_K_M · 205.2 GB
5
Hy3Tencent
Q4_K_M · 182.3 GB · 147 t/s
147 tok/sQ4_K_M · 182.3 GB
See all 433 models on the B300 →Best quant that fits · speeds estimated on this card

About the B300

The B300 runs everything up to 120B MoE well. Blackwell Ultra generation, released 2025.

GenerationBlackwell Ultrareleased 2025

B300 strengths and weaknesses

Strengths

  • Runs 120B MoE models: GPT OSS 120B at 378 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 82 ms
  • FP8 and NVFP4 run natively: Blackwell takes FP8 and NVFP4 checkpoints in vLLM as published

Weaknesses

  • 1400 W under load: Plan a 2,800 W PSU; ≈$307 a year at 4 h a day

B300 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
    818tok/s
  2. 14BQwen3 14B · Q4_K_M · 11.9 GB
    547tok/s
  3. 27–31BQwen3.8 27B · Q4_K_M · 17.9 GB
    299tok/s
  4. 35B MoEQwen3.6 35B A3B · Q4_K_M · 22.0 GB
    363tok/s
  5. 70BLlama 3.3 70B Instruct · Q4_K_M · 51.3 GB
    112tok/s
  6. 120B MoEGPT OSS 120B · Q4_K_M · 70.8 GB
    378tok/s

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

All 433 models on the B300

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 NVIDIA B300 — ranked by Score, recency and Fit
ModelVRAMScoreFit
MiMo V2.6 Flash RL
Q4_K_M·228.6 t/s
186.5 GBS100, Runs great
Inkling Small
Q4_K_M·398.6 t/s
162.7 GBS100, Runs great
Hy3
Q4_K_M·146.5 t/s
182.3 GBS97, Runs great
GLM 5.3 Flash
Q4_K_M·216.9 t/s
205.2 GBS100, Runs great
Q4_K_M·180.9 t/s
183.0 GBS99, Runs great
Muse Glimmer 30B
Q4_K_M·283.5 t/s
19.6 GBS100, Runs great
Qwen3.8 27B
Q4_K_M·298.5 t/s
17.9 GBS100, Runs great
Gemma 4 31B IT
Q4_K_M·255.0 t/s
21.7 GBS100, Runs great
Q4_K_M·250.2 t/s
175.1 GBS100, Runs great
Qwen3.8 Flash Next
Q4_K_M·102.4 t/s
109.0 GBS92, Runs great
Q4_K_M·318.7 t/s
19.3 GBS100, Runs great
Q4_K_M·240.2 t/s
87.7 GBS100, Runs great
JEV 27B VL
Q4_K_M·298.5 t/s
17.9 GBS100, Runs great
Qwen3.6 35B A3B
Q4_K_M·362.7 t/s
22.0 GBS100, Runs great
IQ2_XS·320.1 t/s
229.5 GBS100, Runs great

B300 specs, power and PSU

Specs

Architecture
Blackwell Ultra
VRAM
288 GB HBM3e
Memory bandwidth
8000.0 GB/s
FP16 (dense)
3750.00 TFLOPS
CUDA cores
20,480
Tensor cores
640
Compute capability
10.0
TDP
1400 W
Released
2025-08-01

B300 FAQ

What is the largest model the B300 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 185 tok/s.

Can the B300 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 B300 give?

About 229 tok/s on MiMo V2.6 Flash RL at Q4_K_M, with the first token after 0.1 s on a 4K-token prompt.

What power supply does the B300 need?

Plan a 2800 W PSU (2× the 1400 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 229 tok/s.