{"slug":"inference-fast","label":"Inference Fast","item_count":3,"day_count":3,"source_count":2,"first_seen":"2026-10-08T05:11:39+00:00","last_updated":"2026-10-26T17:06:14+00:00","generated_at":"2026-10-27T00:13:38.037892+00:00","sources":["hackernews_ai","vllm_blog"],"days":[{"date":"2026-10-08","items":[{"title":"Prime Inference: Fast, Reliable Serving for Frontier Open Models","url":"https://www.primeintellect.ai/blog/prime-inference","source":"hackernews_ai","type":"news","summary_1line":"Prime Inference: Fast, Reliable Serving for Frontier Open Models","sid":"a2c8f859aabbe1d2","published":"2026-10-08T05:11:39+00:00","editor_note":"Hosted serving option for frontier open models."}]},{"date":"2026-10-21","items":[{"title":"Announcing Humming: Fast, Flexible Kernels for Quantized Inference","url":"https://vllm.ai/blog/2026-10-21-humming","source":"vllm_blog","type":"news","summary_1line":"Introducing Humming, a quantized inference kernel library from Ant Group and the vLLM community, with broad GPU and quantization support, dense and MoE performance results, and vLLM integration.","sid":"3e7599c6661c19f5","published":"2026-10-21T00:00:00+00:00","editor_note":"Kernel-level quantized inference with vLLM integration."}]},{"date":"2026-10-26","items":[{"title":"Show HN: Resin, fast native scheduler for LLM inference engines","url":"https://github.com/ekzhang/resin","source":"hackernews_ai","type":"news","summary_1line":"Show HN: Resin, fast native scheduler for LLM inference engines","sid":"0a5f683f2cf3f23c","published":"2026-10-26T17:06:14+00:00","editor_note":"Scheduler-level approach for inference engines."}]}],"editorial":{"tldr":"Prime Intellect launched Prime Inference on Oct 8 as a hosted serving option for frontier open models. On Oct 21 the vLLM blog introduced Humming, a quantized-inference kernel library from Ant Group and the vLLM community.","stale":false,"whats_new":"Resin, a native scheduler for LLM inference engines, appeared as a Show HN on Oct 26, extending the speed push from hosted serving and kernels to scheduling.","why_it_matters":"Inference speed work is now landing at three layers (hosted serving, kernels, scheduling), so latency gains can come from swapping a layer instead of changing models.","take_for_builders":"Benchmark Humming on your own quantized models and GPUs before adopting it, and treat Resin as an experiment until it publishes comparisons.","beats":[{"kicker":"SERVING","tone":"launch","headline":"Prime Inference offers fast serving for frontier open models","sids":["a2c8f859aabbe1d2"]},{"kicker":"KERNELS","tone":"rising","headline":"Humming brings quantized kernels to vLLM","summary":"Ant Group and the vLLM community report broad GPU and quantization support with vLLM integration.","sids":["3e7599c6661c19f5"]},{"kicker":"NOW","tone":"now","headline":"Resin targets the scheduler layer","sids":["0a5f683f2cf3f23c"]}],"open_questions":["Does Resin publish benchmarks against existing engine schedulers?","Which inference engines does Resin support beyond the initial release?"],"generated_at":"2026-10-27T01:00:00+00:00"}}