mesa PR with 37-130% llama.cpp pp perf gain for vulkan on Linux on Intel Xe2

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vtgyzf/draft_open_pr_avx2_speed_up_large_batch_size/"> <img alt="[Draft - Open PR] AVX2: Speed up large

<!-- SC_OFF --><div class="md"><p>Just ran some llama-bench comparisons between ROCm and Vulkan backends on my Strix Halo system. Vulkan came out ahead, which surprised me.</p>

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x5skta/cuda_hip_gdn_chunked_kernel_by_am17an_pull/"> <img alt="cuda, hip: GDN chunked kernel by am17an ·

<!-- SC_OFF --><div class="md"><p>b9095 finally makes -sm tensor work on dual consumer Blackwell PCIe GPUs without NCCL</p> <p>If youre on dual Blackwell gpus this look like it

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x7qsh8/intel_llmscalervllm_pv_15_brings_big_improvements/"> <img alt="Intel LLM-Scaler-vLLM PV 1.5 brings

<!-- SC_OFF --><div class="md"><p>PR #22673 (commit 4f13cb7) landed MTP speculative decoding in mainline llama.cpp on May 16. I tested it on two separate rigs.</p> <p>Qwen3.6 27B,

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1ww49o9/amd_ryzen_ai_developer_platform_os_updated_with/"> <img alt="AMD Ryzen AI Developer Platform OS

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sglde2/ggml_backendagnostic_tensor_parallelism_by/"> <img alt="ggml: backend-agnostic tensor parallelism by