llamaperf

NVIDIA B300 288GB vs NVIDIA RTX 5090 for local LLMs

3 reports on the NVIDIA B300 288GB and 114 on the NVIDIA RTX 5090

Which is faster for local LLMs?

Nobody has reported the same model at the same quant on both cards yet, so there's no measured head-to-head. Memory bandwidth, which caps how fast a card can write, is 4.5x higher on the NVIDIA B300 288GB (8,000 GB/s on the NVIDIA B300 288GB, 1,792 on the NVIDIA RTX 5090). The estimates below compare them on the models people run most.

NVIDIA B300 288GB
Memory
288GB
Memory bandwidth
8,000 GB/s
FP16 compute
2250 TFLOPS
Reports
3
NVIDIA RTX 5090
Memory
32GB
Memory bandwidth
1,792 GB/s
FP16 compute
419 TFLOPS
Reports
114

Estimated by the calculator

The quant the calculator recommends for each card and its estimated speed at a 32,768-token context with 32 GB of system RAM, from memory bandwidth and the model's shape.

ModelNVIDIA B300 288GBNVIDIA RTX 5090
Qwen3.8 27B81.5 t/sFP1644.9 t/sQ6_K
Qwen3.8 125B · 6B active293.3 t/sQ8_020.3 t/sQ2_K, experts in RAM
DeepSeek V4 Flash 284B · 13B active264.1 t/sQ6_Kdoesn't fit at these settings
Qwen3.6 35B · 3B active293.3 t/sFP16163.0 t/sQ5_K_M
Qwen3.6 27B81.5 t/sFP1644.9 t/sQ6_K
Gemma 4 26B · 4B active220.0 t/sFP16114.5 t/sQ6_K

Change the context, RAM or model in the calculator: NVIDIA B300 288GB · NVIDIA RTX 5090

Every report on each card, with its source: NVIDIA B300 288GB · NVIDIA RTX 5090

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