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vLLM

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17:00
2026-06-10
pytorch.org
large-language-models

Portable vLLM Model Inference Kernels in Helion

Helion kernels were integrated into vLLM for FP8 inference using Qwen3 models and evaluated across NVIDIA H100 and B200 GPUs. The experiments demonstrated that Helion provides a productive PyTorch-nat…

16:25
2026-06-10
phoronix.com
artificial-intelligence

AMD's Lemonade SDK For Local AI Adds NVIDIA CUDA Support

AMD released Lemonade SDK version 10.7, adding NVIDIA CUDA support to its local AI server solution that previously only supported AMD hardware, Apple Metal GPUs, and AArch64 CPUs. The update integrate…

00:00
2026-06-10
fergusfinn.com
large-language-models

Anatomy of a high-performance EP kernel

A high-performance Expert Parallelism (EP) kernel is essential for running large Mixture-of-Experts (MoE) language models across multiple GPUs, as it handles the dynamic routing of tokens to experts l…

12:29
2026-06-05
www2.eecs.berkeley.edu
large-language-models

vLLM: An Efficient Inference Engine for Large Language Models [pdf]

Researchers have released vLLM, a new inference engine designed to efficiently serve large language models by optimizing memory management and batching. The system achieves up to 24x higher throughput…

15:18
2026-06-04
github.com
large-language-models

KVarN: Native vLLM KV-cache quantization back end by Huawei

Huawei released KVarN, a native KV-cache quantization back end for vLLM that delivers up to 5x more cache capacity and 1.3x the throughput of FP16 while maintaining FP16-level accuracy. The calibratio…

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