Anyone here has tips for the code and hardware setup to get best per-GPU throughput on H200 or B200 hardware for large reasoning traces and inputs of around 10k

Anyone here has tips for the code and hardware setup to get best per-GPU throughput on H200 or B200 hardware for large reasoning traces and inputs of around 10k–40k tokens? Is there an equivalent effort to sglang’s optimization of the V3/R1 throughput for this class of models?