# AI accelerator Published articles for AI accelerator. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## d-Matrix Joins the NVIDIA NVLink Fusion Platform DevFeed: [d-Matrix Joins the NVIDIA NVLink Fusion Platform]() Original publisher: [Read original article]() Author: Cliff Robinson Published: 2026-09-12T21:42:59Z Content type: news Language: en Sources: [ServeTheHome]() Topics: [d-matrix](), [NVLink](), [Nvidia](), [xpu](), [AI Inference](), [datacenter](), [networking](), [cpu](), [Spectrum-X]() Tags: [accelerators](), [ai](), [ai-accelerator](), [ai-inference](), [d-matrix](), [data-center](), [ethernet](), [networking](), [nvidia](), [nvidia-vera](), [nvlink](), [server](), [xpu]() ### AI overview d-Matrix and NVIDIA announced that d-Matrix will bring its next-generation XPUs to the NVLink Fusion platform. The integration is intended to support scaling from individual Raptor XPUs to larger rack-scale and clustered deployments for AI inference, alongside NVIDIA networking and CPU technologies. ### Source excerpt d-Matrix and NVIDIA announced that d-Matrix will use NVLink Fusion to scale up and out with its next-gen Raptor AI accelerators The post d-Matrix Joins the NVIDIA NVLink Fusion Platform appeared first on ServeTheHome. ## The New UGREEN HomeAgent Series Revealed DevFeed: [The New UGREEN HomeAgent Series Revealed]() Original publisher: [Read original article]() Author: Rob Andrews Published: 2026-09-03T22:00:40Z Content type: news Language: en Sources: [NAS Compares]() Topics: [cloud-infrastructure](), [Automation](), [servers](), [Artificial Intelligence](), [Hardware](), [smart speaker]() Tags: [070-tflops-ai](), [10gbe-nas](), [13-3-inch-smart-frame](), [2](), [2-5gbe-nas](), [20-tops-npu](), [205-tops-ai](), [4k-indoor-camera](), [4k-outdoor-camera](), [9x-hybrid-zoom](), [ai](), [ai-accelerator](), [ai-event-summaries](), [ai-keyword-search](), [ai-nas](), [announcement](), [arm-nas](), [armv9-nas](), [automation](), [battery-security-camera](), [bluetooth-smart-home](), [cix-p1](), [cix-p1-cp8180](), [colour-e-paper-frame](), [e-ink-spectra-6](), [edge-ai](), [face-recognition](), [ha100](), [ha100-price](), [ha100-pro](), [ha100-pro-price](), [hardware](), [home-assistant-compatible-devices](), [server](), [smart-speaker](), [uncategorised]() ### AI overview UGREEN revealed the HomeAgent series, a family of locally managed systems combining storage, AI processing, surveillance, voice interaction and home automation. The broader range includes central systems, cameras, a smart speaker and an E-Paper photo frame. Software remains under development, and the products are initially being introduced through crowdfunding. ### Source excerpt The New UGREEN HomeAgent Series Revealed UGREEN has spent the last few years building out its NAS range, but its latest announcement takes the company in a rather different direction. I was in Boston for the reveal of UGREEN HomeAgent, a new family of systems designed to bring local storage, AI processing, home surveillance and [...] ## 2026 Vercel AI Accelerator recap DevFeed: [2026 Vercel AI Accelerator recap]() Original publisher: [Read original article]() Author: Madison McIlwain Published: 2026-04-28T04:00:00Z Content type: article Language: en Sources: [Vercel News]() Topics: [Vercel](), [AI Development](), [dev-tools](), [Deployment](), [anthropic](), [Amazon Web Services](), [OpenAI](), [Auth0](), [OpenClaw](), [Notion](), [Supabase]() Tags: [2026](), [agents](), [ai](), [ai-accelerator](), [anthropic](), [aws](), [deployment](), [developer-tools](), [event](), [infrastructure](), [openai](), [openclaw](), [startup](), [vercel](), [workshops]() ### AI overview Vercel recaps its 2026 AI Accelerator, a six-week program in which 39 teams built AI applications, agents, developer tools, consumer apps, and vertical AI products. The program included technical workshops, expert discussions, partner support, infrastructure credits, and a Demo Day where teams presented to investors and industry leaders. ### Source excerpt On April 16th, 39 teams took the stage to pitch investors at Demo Day. During the prior six weeks, founders worked shoulder-to-shoulder with the Vercel team, our partners, and industry leaders to shape their ideas into the next generation of AI applications. Six weeks with the 2026 cohort Teams from around the world joined the 2026 cohort, building agents, developer tools, consumer apps, and vertical AI for finance, security, healthcare, and robotics. Each week, the cohort joined two sessions: a hands-on technical workshop and a fireside chat with an external speaker. The workshops covered the technical side of building AI products, from agents and models to deployment and scale. The fireside chats brought in industry leaders, Vercel experts, and investors. Speakers included Peter Steinberger (OpenAI/OpenClaw) and the Windsurf team, with topics ranging from the state of AI to pricing, legal, sales, marketing, and fundraising. Builder day Halfway through the program, the cohort came together with the broader Vercel startup ecosystem for Builder Day at Vercel's office. The day combined technical workshops, hands-on office hours with engineers from accelerator partners like AWS and Anthropic, open time to build and connect, and a special fireside chat between Malte Ubl (Vercel CTO) and Stephen Haney (Paper CEO). $8M in infrastructure and credits Beyond the programming, every team got over $200K to build with on Vercel and across the AI stack: Vercel AI stack: AI Gateway, Sandbox, Workflows, Fluid Compute, v0, and more Partners: AWS, Anthropic, OpenAI, Browserbase, ElevenLabs, Auth0, WorkOS, Notion, Modal, Neon, Supabase, and more Demo Day After six weeks of building, the cohort showed their work at Demo Day. Auth0 hosted the event at their offices, and each team had a few minutes to present to a room of VCs, AI leaders, and partners, with a panel of judges from across the AI ecosystem selecting the winners. Winners On Demo Day, judges scored teams on problem validity, ## Arm & ExecuTorch 0.7: Bringing Generative AI to the masses DevFeed: [Arm & ExecuTorch 0.7: Bringing Generative AI to the masses]() Original publisher: [Read original article]() Author: EricSondhi; Gian Marco Iodice Published: 2025-08-13T14:55:10Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Arm](), [Generative AI](), [Artificial Intelligence](), [Large Language Model](), [AI Inference](), [cpu](), [Mobile](), [Raspberry Pi](), [Latency]() Tags: [ai](), [ai-accelerator](), [android](), [arm](), [cpu](), [cross-platform](), [developers](), [edge-ai](), [generative](), [generative-ai](), [large-language-models-llms](), [latency](), [llama-cpp](), [mediapipe](), [memory](), [onnx](), [performance](), [raspberry-pi](), [smartphones]() ### AI overview Arm's KleidiAI will be enabled by default in the upcoming ExecuTorch 0.7 beta, providing automatic AI acceleration through ExecuTorch and XNNPack on current and older Arm-based devices. The article explains how this can improve model startup time, latency, and memory efficiency, making Generative AI and large language models more practical on mobile devices and Raspberry Pi 5. It also describes how the Arm SDOT instruction accelerates low-precision matrix multiplication used by LLMs. ### Source excerpt With Arm's recent SME2 announcement, the role of Arm KleidiAI is increasingly clear as Arm's AI accelerator layer powering the next wave of AI. By embedding into widely-used Edge AI frameworks like XNNPack, MediaPipe, MNN, ONNX Runtime, and even llama.cpp, KleidiAI has delivered substantial performance improvements with no code changes required by developers. ## Introducing HUGS - Scale your AI with Open Models DevFeed: [Introducing HUGS - Scale your AI with Open Models]() Original publisher: [Read original article]() Author: Philipp Schmid; Jeff Boudier; Alvaro Bartolome; Simon Pagezy; Violette Published: 2024-10-23T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [hugging face](), [model-deployment](), [tgi](), [Inference](), [Transformers](), [Open Source](), [Generative AI](), [Large Language Model](), [GPU](), [Microservices](), [API](), [Hardware]() Tags: [accelerate](), [accelerators](), [ai](), [ai-accelerator](), [amd](), [announcement](), [api](), [artificial-intelligence](), [aws](), [aws-inferentia](), [azure](), [digitalocean](), [enterprise](), [gcp](), [gpu](), [inference](), [llm](), [microservices](), [model-deployment](), [models](), [multimodal](), [open-source](), [partnerships](), [performance](), [technologies](), [text-generation](), [tgi](), [transformers]() ### AI overview Hugging Face introduces HUGS, optimized zero-configuration inference microservices for deploying open models in an organization's own infrastructure. Built on Hugging Face technologies including Text Generation Inference and Transformers, HUGS targets efficient, hardware-optimized deployment across NVIDIA and AMD GPUs, with AWS Inferentia and Google TPU support planned. It provides an OpenAI-compatible API and is designed to reduce deployment complexity and time for AI applications. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science.