Ant Ling and NVIDIA Optimize Ling-3.0-flash Inference
The Ant Ling team, in collaboration with the NVIDIA AI team, optimized the inference of the open-weight model Ling-3.0-flash on a single NVIDIA DGX Spark using three techniques. On 1,319 GSM8K problems, decoding throughput increased from 37.81 tok/s to 53.89 tok/s (+42.5%), average latency dropped from 15.21s to 11.49s (-24.5%), and accuracy showed no statistically detectable change.
Body
In technical collaboration with the @NVIDIAAI team, we optimized inference for the open-weight Ling-3.0-flash model on a single NVIDIA DGX Spark using three techniques. Across 1,319 GSM8K questions, decode throughput increased 42.5%—from 37.81 to 53.89 tok/s—while mean latency fell 24.5%, from 15.21s to 11.49s, with no statistically detectable accuracy change. 🧵