As organizations race to productionize large language model (LLM) workloads, two powerful open-source projects have emerged to tackle the complexity of inference at scale: vLLM and llm-d.Are llm-d and vLLM on the same track, or are they steering toward different finishing lines?vLLM: The High-Performance Inference EnginevLLM is an enterprise open-source based inference engine for LLMs. Its performance edge comes from innovations like:PagedAttention, which enables efficient KV cache managementSpeculative decoding supportTensor parallelism (TP) and multi-model supportIntegration with Hugging Fac
With the Linux 6.18 kernel likely being released later today, here is a look at some of the features on the table for the next kernel cycle, Linux 6.19. The list is based on changes queued in various "-next" branches ahead of the Linux 6.19 merge window. There's always the possibility of last minute change of plans or objections raised by Linus Torvalds, but this should provide an early look at some of the features more than likely to be merged for Linux 6.19...