ai inference

  1. Second-Gen Analog Optical Computer: Energy-Efficient AI & Optimization

    Microsoft Research’s Cambridge lab has revealed the second-generation Analog Optical Computer (AOC), a hybrid photonic–analog prototype that uses light, commodity optics and analog electronics to accelerate both AI inference and combinatorial optimization — promising orders-of-magnitude gains in...
  2. UP Xtreme ARL: Raspberry Pi-sized SBC with Intel Core Ultra and Windows 11

    Aaeon’s new UP Xtreme ARL arrives as a decisive answer to the question many hobbyists and embedded developers have been asking: what if a Raspberry Pi–sized board used a modern Intel Core Ultra CPU, offered up to 64 GB of LPDDR5, and shipped with first-party Windows 11 support out of the box...
  3. Architectural Shift: Windows ML and Myriad X VPUs for On‑Device AI

    Intel and Microsoft’s move to fold a dedicated Vision Processing Unit into Windows’ on-device ML story is not a product tweak — it is an architectural shift that changes where and how many Windows AI experiences will run, who will pay the power bill, and how developers will ship intelligent apps...
  4. Geekom IT15 on Linux: fast Ubuntu Budgie workstation, AI limits explained

    I pulled a boxed Windows 11 tiny PC out of its packaging, installed Ubuntu Budgie, and in less than an afternoon turned a handsome, pocket-sized Geekom IT15 into a fast, dependable Linux workstation — a change that proved more than cosmetic: it materially improved daily responsiveness, fixed...
  5. Windows 11 24H2 Performance: Real Gains vs Windows 10 at End of Support

    Microsoft's approaching end-of-support for Windows 10 has sharpened a question many users have been postponing for years: beyond security and features, does moving to Windows 11 deliver a measurable, real-world performance win — or could the upgrade cost you frames, responsiveness, or workflow...
  6. Apple's Project ACDC: A Bold Move to Challenge Cloud Giants with Custom Silicon

    Apple, long known for its razor-sharp focus on hardware and consumer software, has been quietly entertaining a bold idea that could fundamentally alter the cloud computing landscape: building an AWS competitor based on its own custom silicon. Recent reports, most notably from The Information as...
  7. KB5063134 Update: Unlocking On-Device AI with Microsoft’s Phi Silica on Windows

    The June deployment of KB5063134 marks a pivotal moment in Microsoft’s evolving approach to artificial intelligence on Windows, specifically targeting Intel-powered devices with the Phi Silica AI component update (version 1.2506.707.0). As the integration of hardware-based AI accelerators...
  8. Groq Challenges Cloud Giants with High-Speed AI Inference via Hugging Face Partnership

    The world of artificial intelligence infrastructure is entering a new era, as specialist chipmaker Groq outlines its ambitions to directly challenge the cloud titans Amazon Web Services, Google Cloud, and Microsoft Azure. Groq’s latest maneuver—a transformative partnership with Hugging...
  9. Microsoft's KB5061856 Update Introduces On-Device AI with Phi Silica for Qualcomm Windows Devices

    When Microsoft quietly released KB5061856—a Phi Silica AI component update (version 1.2505.838.0) designed specifically for Qualcomm-powered systems—the Windows ecosystem took a significant if understated step toward realizing on-device AI at scale. While this update may appear, at first glance...
  10. Ollama: Run Local Large Language Models on Windows 11 for Privacy and Speed

    The artificial intelligence era is transforming how we interact with information, create content, and even code. Traditionally, most users experience large language models (LLMs) through powerful cloud-based tools like OpenAI’s ChatGPT or Microsoft’s Copilot. While these cloud services provide...
  11. Microsoft Azure NVads V710 v5 VMs: The Future of GPU-Accelerated Cloud Computing

    The surge in cloud computing demand, especially for AI inference, advanced visualization, real-time graphics, and compute-heavy applications, has placed unprecedented pressure on cloud providers to innovate. Against this backdrop, Microsoft Azure’s release of the NVads V710 v5 virtual machines...
  12. The Future of AI Infrastructure: How Billion-Dollar Deals Shape the Cloud and Hardware Ecosystem

    In the intense, ever-evolving landscape of AI infrastructure, every billion-dollar deal tells a story—a tale of ambition, shifting power, cutthroat economics, and a technological arms race measured in GPUs, teraflops, and freakish leaps in AI capability. The recent $11.9 billion, five-year pact...
  13. Microsoft AKS Updates: RAG, vLLM, and GPU Customization for Enhanced AI Performance

    Microsoft’s latest announcement at KubeCon has sent ripples through the cloud and AI communities, particularly among developers working on Azure Kubernetes Service (AKS) clusters. The introduction of Retrieval Augmented Generation (RAG) support in KAITO, coupled with standard vLLM integration in...
  14. Akamai's Distributed AI Inference: Revolutionizing Edge Computing for Windows Users

    Akamai’s latest announcement is set to shake up the world of AI inference in a big way. By leveraging its expansive global network, the company is pioneering a distributed inference approach that promises significantly lower latency and higher throughput. For Windows users, IT professionals, and...