Running GLM-5.3-Flash on 2× DGX Spark with NVIDIA Flare ✨
- 1M context window, 2.32M-token shared KV pool
- Prose decode, single stream: 117.2 tok/s
- Prose decode, 2 concurrent: 167.4 tok/s aggregate
- Prose decode, 4 concurrent: 215.8 tok/s aggregate
- 32K prefill: 2,327.9 tok/s
- Available memory after loading: ~13 GiB on head /worker each
Checkpoint: GLM-5.3-Flash-NVFP4-MXFP8-CSF-QAD
github.com/NVIDIA/flare-loca…
NVIDIA just released Flare, a local inference server built for DGX Spark and RTX Blackwell GPUs
- Built for long chats, agents and tool calls
- Serves from Rust, no Python
- Plans memory up front
- FP8 KV cache by default
Interesting timing... right around when DeepSeek open-sourced their inference engine.
Link below.