A developer traced a hybrid Mamba-Transformer MoE inference run and found that MoE all-to-all collective stalls dominate the tail latency, with a 69x tail ratio, despite dashboards showing 96% GPU uti…
A developer published token-sec-calc, an open-source Python CLI tool that benchmarks LLM inference throughput, latency, time-to-first-token, and queue wait against any OpenAI-compatible endpoint. The …
A new guide details how to monitor LLM inference in production using Prometheus and Grafana, covering metrics like tokens/sec, queue duration, and KV cache pressure for servers such as vLLM, TGI, and …
Independent researcher Haijun Wen of Light Ark Technologies is seeking a cs.CL endorser on arXiv to post a preprint on a model-agnostic framework for persistent AI personality, addressing memory and p…
Slopsome.com launched a free VRAM fit-calculator and real tokens-per-second database for local LLMs, enabling users to check if a model runs on specific GPUs with given quantization and context length…
Agentify has forked the archived TensorZero project, which raised $7.3M, and released Agentify Gateway, an open-source LLM gateway with observability, evaluation, optimization, and experimentation fea…
Google DeepMind released DiffusionGemma on June 10, 2026, a 26B open-weight text diffusion model that generates 256 tokens simultaneously, achieving up to 1,008 tokens per second on an H100—4-5x faste…
LMCache introduces a novel KV cache optimization layer to accelerate LLM inference, enabling faster local deployment on consumer hardware. AllenAI releases olmo-eval, a workbench for evaluating open l…
Google's DiffusionGemma, an experimental open model using discrete diffusion for text generation, offers a parallel approach that can outperform token-by-token LLMs in throughput-sensitive workloads. …
MiniMax released its M3 multimodal model on NVIDIA's accelerated infrastructure, offering a free public endpoint via NVIDIA's API catalog. The 428-billion-parameter model processes text, images, and v…
Ray Serve LLM and vLLM on AMD MI325X achieve up to 67% cost savings by disaggregating prefill and decode phases in LLM serving, separating them onto dedicated GPUs to eliminate interference and improv…
Redb.Route.Llm 3.1.1 adds seven nullable audit fields to every persisted message, capturing effective sampling parameters, a SHA-256 hash of the tool set, and the provider's system fingerprint for com…
A developer achieved 775 tokens per second running the full BF16 DiffusionGemma model on an Nvidia RTX 6000 Pro using a Red Hat fork of vLLM, demonstrating extremely fast local AI inference at short c…
Google has released DiffusionGemma, an experimental text-generation model built on the Gemma 4 architecture that generates text in parallel blocks rather than token-by-token, enabling faster inference…
Anyscale released agent skills for debugging Ray workloads, including /anyscale-platform-fix and /anyscale-platform-inspect, which automate troubleshooting of failing pipelines. A user demonstrated fi…
A production AI assistant requires a systems-level architecture beyond a single LLM invocation, splitting responsibilities into five layers: LLM, Memory, Tooling, Routing, and Observability. OpenAI an…
Two NVIDIA DGX Spark units were clustered over a 200 GbE link to serve the Qwen3-30B-A3B-Thinking model using Ray and vLLM with tensor parallelism. The setup required pinning all transport layers to t…
A developer successfully clustered a 128 GB Mac Studio and a 128 GB DGX Spark using the open-source exo framework to run a model requiring 160 GB of memory, but the setup is limited to CPU-only infere…
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…
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…