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https://epoch.ai/data-insights/llm-inference-price-trends LLM inference prices have fallen rapidly but unequally across tasks | Epoch AI Epoch AI is a research institute investigating key trends and questions that will shape the trajectory and governance of Artificial Intelligence. llm inference https://omlx.ai/ oMLX — LLM inference, optimized for your Mac llm inferencefor youromlxoptimizedmac https://llama-cpp.com/ Llama.cpp - Run LLM Inference in C/C++ Apr 25, 2026 - Llama.cpp (LLaMA C++) allows you to run efficient Large Language Model Inference in pure C/C++. Download llama.cpp for Windows, Linux and Mac. llm inferencellamacpprun https://redis.io/blog/get-faster-llm-inference-and-cheaper-responses-with-lmcache-and-redis/ Get faster LLM inference and cheaper responses with LMCache and Redis | Redis Developers love Redis. Unlock the full potential of the Redis database with Redis Enterprise and start building blazing fast apps. get fasterllm inferencecheaperresponseslmcache https://developer.microsoft.com/it-it/reactor/events/23187/ Deploying and Monitoring LLM Inference Endpoints | Microsoft Reactor Acquisisci nuove competenze, incontra nuovi colleghi e trova un tutor. Gli eventi virtuali si tengono 24 ore su 24. Unisciti a noi ovunque e in qualsiasi... llm inferencedeployingmonitoringendpointsmicrosoft https://www.digitalocean.com/community/conceptual-articles/bottlenecks-llm-inference-optimization The Hidden Bottlenecks in LLM Inference and How to Fix Them | DigitalOcean Discover LLM inference bottlenecks like GPU underuse, memory limits, and latency, plus practical strategies to optimize performance and scalability. how to fixthe hiddenllm inference https://www.vllm.ch/ vLLM Experts Switzerland – LLM Inference Consulting | VSHN vLLM consulting and operations in Switzerland. VSHN deploys and manages high-throughput LLM inference on Kubernetes with full Swiss data residency. ISO 27001. llm inferencevllmexpertsswitzerlandconsulting https://blogs.oracle.com/cloud-infrastructure/benchmarking-oci-compute-shapes-llm-serving Effectively benchmarking OCI Compute Shapes for LLM inference serving | cloud-infrastructure The blog post explores the rapidly evolving landscape of generative AI models and the corresponding maturation of the AI software ecosystem, emphasizing the... for llmeffectivelybenchmarkingocicompute https://www.kronkai.com/ Kronk — Hardware Accelerated LLM Inference for Go Kronk is a Go library for hardware accelerated local LLM inference with llama.cpp. OpenAI-compatible API. llm inferencekronkhardwareacceleratedgo https://dinference.com/ DInference - OpenSource LLM Inference API Open Source LLM Inference. US Hosted. OpenRouter Compatible. 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Your data never leaves the EU. gdpr compliantai apillm inference https://www.redhat.com/ja/blog/efficient-and-reproducible-llm-inference-red-hat-mlperf-inference-v51-results Efficient and reproducible LLM inference with Red Hat: MLPerf Inference v5.1 results As generative AI (gen AI) workloads become central to enterprise applications, benchmarking their inference performance has never been more critical for... llm inference https://dmatora.github.io/LLM-inference-speed-benchmarks/ LLM Inference Speeds llm inferencespeeds https://resources.nvidia.com/121231541151516515612310231231231/en-us-retail-resource-library/watch-7 Understanding LLM Inference: How AI Generates Words In the last eighteen months, large language models (LLMs) have become commonplace. 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Performant, compliant, and reliable inference for every LLM. llm inferencefor performancescalebaseten https://github-danielrosehill.vercel.app/category/llm-inference llm-inference - Daniel Rosehill GitHub Index A periodically updating index of GitHub repositories and open source development projects by Daniel Rosehill. Browse by category, date, and topic tags. llm inferencedaniel rosehillgithubindex https://redis.io/blog/prefill-vs-decode/ Prefill vs Decode: LLM Inference Phases Explained Learn how prefill and decode phases affect LLM app speed, what drives TTFT and inter-token latency, and which optimizations fix each bottleneck. llm inferenceprefillvsdecodephases https://forums.developer.nvidia.com/t/llm-inference-results/347999 LLM inference results? - Jetson AGX Xavier - NVIDIA Developer Forums Oct 17, 2025 - Hey, I am considering acquiring a Xavier agx second hand and use it for LLM inference. Does anyone have any benchmarks? The only thing I found so far was in... jetson agx xavierllm inferencenvidia developerresultsforums https://ollama.linkworksinc.com/ LLM Monitor · live GPU-cluster inference monitoring Hourly automated monitoring of a homelab GPU inference cluster — tokens/second, uptime, and incidents across every endpoint. Open methodology, no marketing... llm monitorgpu clusterliveinferencemonitoring https://github.com/defilantech/llmkube GitHub - defilantech/LLMKube: Kubernetes operator for local LLM inference with llama.cpp, vLLM, and... Kubernetes operator for local LLM inference with llama.cpp, vLLM, and TGI - multi-GPU, autoscaling, air-gapped, production-ready - defilantech/LLMKube https://github.com/winfunc/deepreasoning GitHub - winfunc/deepreasoning: A high-performance LLM inference API and Chat UI that integrates... A high-performance LLM inference API and Chat UI that integrates DeepSeek R1's CoT reasoning traces with Anthropic Claude models. - winfunc/deepreasoning https://aws.amazon.com/de/about-aws/whats-new/2023/11/amazon-sagemaker-large-model-inference-dlc-tensorrt-llm-support/ Amazon SageMaker launches a new version of Large Model Inference DLC with TensorRT-LLM support https://arxiv.org/abs/2504.06261 [2504.06261] Hogwild! Inference: Parallel LLM Generation via Concurrent Attention Abstract page for arXiv paper 2504.06261: Hogwild! Inference: Parallel LLM Generation via Concurrent Attention inferenceparallelllmgenerationvia https://arxiv.org/html/2604.09718v2 Agentic Compilation: Mitigating the LLM Rerun Crisis for Minimized-Inference-Cost Web Automation https://www.redhat.com/fr/technically-speaking/distributed-inference-llm-d Technically Speaking | Inside distributed inference with llm-d technically speakingdistributed inferenceinsidellm https://arxiv.org/html/2604.18529v1 HybridGen: Efficient LLM Generative Inference via CPU-GPU Hybrid Computing efficientllmgenerativeinferencevia https://bitnet.xin/ BitNet.XIN - 1-Bit LLM Tutorials, CPU Inference & Edge AI Guides Master BitNet and 1-bit large language models with expert tutorials. Learn CPU inference, edge deployment, model architecture, and performance tuning to run... edge aibitnetxinllm https://docs.redhat.com/en/documentation/red_hat_ai_inference_server/3.1/html/llm_compressor/integration-with-rhaiis-and-vllm_llm-compressor Chapter 3. Integration with Red Hat AI Inference Server and vLLM | LLM Compressor | Red Hat AI... Chapter 3. Integration with Red Hat AI Inference Server and vLLM | LLM Compressor | Red Hat AI Inference Server | 3.1 | Red Hat Documentation red hat ai inference https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/kleidiai-on-android-with-mediapipe-and-xnnpack/ Run LLM inference on Android with KleidiAI, MediaPipe, and XNNPACK | Arm Learning Paths Learn how to run LLM inference on Android devices using MediaPipe with KleidiAI-enhanced Arm i8mm features to benchmark the Gemma 2B model. https://blog.aks.azure.com/2025/09/12/pair-llmd-and-rag-on-aks Pair llm-d Inference with KAITO RAG Advanced Search to Enhance your AI Workflows | AKS Engineering... Sep 12, 2025 - Accelerate AI-driven discovery on Kubernetes with faster insights, greater accuracy, and scalable performance. https://research.ibm.com/publications/cloud-native-sustainable-llm-inference-in-action Cloud Native Sustainable LLM Inference in Action for KubeCon EU 2024 - IBM Research Cloud Native Sustainable LLM Inference in Action for KubeCon EU 2024 by Chen Wang et al. https://developers.googleblog.com/en/supercharging-llm-inference-on-google-tpus-achieving-3x-speedups-with-diffusion-style-speculative-decoding/ Supercharging LLM inference on Google TPUs: Achieving 3X speedups with diffusion-style speculative... Researchers at UCSD have achieved a breakthrough in AI serving efficiency by integrating DFlash, a block-diffusion speculative decoding framework, into the... https://llm-doc.iheaan.com/ Encrypted LLM Experience for Private Inference | HEaaN Encrypted LLM Experience for privateencryptedllmexperienceinference https://docs.oracle.com/en/learn/llm-infebench-ocicom/index.html Set up a Simple LLM Inference Benchmarking System with vLLM on Oracle Cloud Infrastructure Compute Learn how to set up and run LLM inference benchmarks on Oracle Cloud Infrastructure Compute shapes using virtual large language model (vLLM). https://developer.nvidia.com/blog/nvidia-tensorrt-llm-supercharges-large-language-model-inference-on-nvidia-h100-gpus/ NVIDIA TensorRT-LLM Supercharges Large Language Model Inference on NVIDIA H100 GPUs | NVIDIA... Nov 7, 2023 - Large language models (LLMs) offer incredible new capabilities, expanding the frontier of what is possible with AI. However, their large size and unique… large language modelnvidia tensorrtllm https://huggingface.co/papers/2502.04416 Paper page - CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference Join the discussion on this paper page paper page https://build.nvidia.com/spark/trt-llm TRT LLM for Inference | DGX Spark Install and use TensorRT-LLM on DGX Spark trtllminferencedgxspark https://arxiv.org/abs/2404.15420 [2404.15420] XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference Abstract page for arXiv paper 2404.15420: XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference https://arxiv.org/abs/2604.09613 [2604.09613] Token-Budget-Aware Pool Routing for Cost-Efficient LLM Inference Abstract page for arXiv paper 2604.09613: Token-Budget-Aware Pool Routing for Cost-Efficient LLM Inference https://www.nvidia.com/en-us/on-demand/session/gtc24-dlit61523/ Unlocking Local LLM Inference with Jetson AGX Orin: A Hands-On Lab DLIT61523 | GTC San Jose 2024 |... Join us for this hands-on lab and learn how to harness the power of large language models (LLMs) and Jetson AGX Orin to build next-generation AI applicatio https://engineering.fb.com/2026/03/31/ml-applications/meta-adaptive-ranking-model-bending-the-inference-scaling-curve-to-serve-llm-scale-models-for-ads/ Meta Adaptive Ranking Model: Bending the Inference Scaling Curve to Serve LLM-Scale Models for Ads... Apr 21, 2026 - Meta continues to lead the industry in utilizing groundbreaking AI Recommendation Systems (RecSys) to deliver better experiences for people, and better results... https://inference.roboflow.com/workflows/blocks/open_ai_compatible_llm/ OpenAI-Compatible LLM - Roboflow Inference Open-source computer vision inference server for object detection, segmentation, classification, and foundation models. Deploy on-device or in the cloud. openaicompatiblellmroboflowinference https://developer.nvidia.com/blog/achieving-top-inference-performance-with-the-nvidia-h100-tensor-core-gpu-and-nvidia-tensorrt-llm/ Achieving Top Inference Performance with the NVIDIA H100 Tensor Core GPU and NVIDIA TensorRT-LLM |... Dec 14, 2023 - Best-in-class AI performance requires an efficient parallel computing architecture, a productive tool stack, and deeply optimized algorithms. https://resources.nvidia.com/en-us-ai-inference-content/nvidia-tensorrt-llm-supercharges-large-language-model-inference-on-nvidia-h100-gpus NVIDIA TensorRT-LLM Supercharges Large Language Model Inference on NVIDIA H100 GPUs Read on how TensorRT-LLM significantly enhances the convenience of utilization and expandability through an open-source modular python API that allows for the... large language modelnvidia tensorrtllm https://docs.cloud.google.com/kubernetes-engine/docs/best-practices/machine-learning/inference/autoscaling?ref=blog.premai.io Best practices for autoscaling large language model (LLM) inference workloads with GPUs on Google... Learn best practices for autoscaling inference large language model (LLM) workloads with GPUs on Google Kubernetes Engine (GKE) with the Horizonal Pod... https://arxiv.org/html/2404.15420v3 XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference xccachecrossattending https://research.google/blog/generating-synthetic-data-with-differentially-private-llm-inference/?ref=kenpriore.com Generating synthetic data with differentially private LLM inference synthetic dataprivate llmgeneratinginference https://resources.nvidia.com/en-us-ai-inference-cloud-deployments/other2024-aiinference2 Harness the Power of Cloud-Ready AI Inference Solutions and Experience a Step-By-Step Demo of LLM... Watch a hands-on demonstration of the effortless process of optimizing, deploying, and managing your AI-inferencing solutions within the public cloud... https://arxiv.org/abs/2404.15420v3 [2404.15420v3] XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference Abstract page for arXiv paper 2404.15420v3: XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference https://arxiv.org/abs/2601.08511 [2601.08511] STAR: Detecting Inference-time Backdoors in LLM Reasoning via State-Transition... Abstract page for arXiv paper 2601.08511: STAR: Detecting Inference-time Backdoors in LLM Reasoning via State-Transition Amplification Ratio https://developer.nvidia.com/blog/mastering-llm-techniques-inference-optimization/embed/ Mastering LLM Techniques: Inference Optimization | NVIDIA Technical Blog inference optimizationmasteringllmtechniquesnvidia