01 // Inference benchmarks
Single-stream decode · llama.cpp
# env llama.cpp b4732 · 4096 ctx · batch=1 · prompt=512 · temp=0.0 · median of 5 runs
02 // Hardware specs
ArchitectureGB10 Grace Blackwell
Process nodeTSMC 4NP
Memory128 GB
Memory bandwidth273 GB/s
FP16 compute31 TFLOPS
INT8 compute62 TOPS
TDP170 W
PCIeUnified
Form factorMini-desktop
CoolingActive
03 // Model fit
Approximate VRAM required to load weights + 4096 ctx KV cache.
+ STRENGTHS
- ✓128GB VRAM is enough for 200B+ models at Q4
- ✓273 GB/s memory bandwidth · top tier in its class
- ✓Strong tooling: FP16, FP8, Q8, Q4 all officially supported
− TRADE-OFFS
- −Draws 170W under load — plan PSU and thermals accordingly
- −Limited to mini-desktop chassis
- −Driver lock-in to vendor stack