FuTransformer’s FP8/INT4 path on Hopper, decoded
How FuTransformer restructures Llama-style inference into FP8 prefill and INT4 decode kernels on NVIDIA Hopper.
Serving, inference optimisation, GPUs, routing, cost and latency engineering
How FuTransformer restructures Llama-style inference into FP8 prefill and INT4 decode kernels on NVIDIA Hopper.
How ReaDy taps hybrid linear attention states to push speculative decoding faster than DSpark on Qwen3.8-27B.
A Markov-reward view of speculative decoding that trains parallel drafters directly on end-to-end efficiency.
How caching SSM inputs instead of state cuts memory traffic and unlocks faster speculative decoding.
How ActKV squeezes KV memory in agent loops without killing action quality
A multi-agent LLM system optimizes Triton kernels while preserving compiler structure and end-to-end correctness.