A developer's production guide details how to self-host vLLM on cloud GPUs to achieve sub-180ms LLM inference for autonomous AI agents, cutting costs by 45-74%. The setup leverages vLLM v0.6+, EAGLE-3…
A developer's field guide benchmarks DFlash, a block-diffusion speculative decoding method, on 30B-scale models, arguing that tokens per second can mislead. The guide highlights DFlash's architectural…
A developer achieved up to 9.27× speedup on code editing tasks using adaptive speculative decoding on a €300 RTX 5060 GPU, with a 0.6B draft model nearly doubling math and JSON throughput. The project…
A developer reports that speculative decoding techniques MTP, EAGLE-3, and DFlash can significantly speed up local inference of large language models in llama-cpp. Testing on an NVidia 3060 RTX 12 GB …
NVIDIA announced that DFlash speculative decoding boosts inference performance on Blackwell GPUs by up to 15x for gpt-oss-120b and nearly doubles interactivity for Llama 3.1 8B compared to EAGLE-3. Th…
AWS invented Parallel-EAGLE (P-EAGLE), a speculative decoding method that parallelizes draft token generation, achieving up to 1.69x throughput speedup over vanilla EAGLE frameworks. Amazon SageMaker …
Researchers have developed EvoSpec, a framework that enables real-time evolution of draft models in speculative decoding through dynamic vocabulary and parameter adaptation. The system addresses the f…