Tagged "hardware-software-co-design"
9 articles tagged hardware-software-co-design, 26 March 2026 to 8 September 2026. Newest first.
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Google Cloud finds Gemma 3 12B outscales 27B on TPU
Google's Gemma 3 12B model delivers superior performance to the 27B variant when running on TPU infrastructure. This finding highlights the importance of hardware-model co-optimization for efficient local and edge inference.
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NVIDIA Levels Up Local AI Agents Across RTX PCs and DGX Spark
NVIDIA introduces RTX Spark, enabling local AI agent deployment on consumer RTX PCs and enterprise DGX systems. Eight major PC brands commit to shipping RTX Spark-powered AI agent laptops in fall 2026.
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Microsoft and Nvidia to Unveil First Windows PCs with Nvidia CPUs and AI Capabilities
Microsoft and Nvidia are collaborating to introduce Windows PCs powered by Nvidia CPUs with integrated AI capabilities for local inference. This partnership signals major hardware vendors' commitment to on-device AI performance.
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Lucebox Brings Faster Local AI Inference to AMD Strix Halo
A new inference platform optimises LLM performance on AMD's latest Strix Halo processors, demonstrating hardware-software co-design for efficient edge AI deployment.
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Small On-Device AI Model Beats Claude Sonnet 4.5 and GPT-5
A newly optimized on-device AI model demonstrates performance that exceeds leading cloud-based models on specific benchmarks. This breakthrough challenges assumptions about model size and cloud superiority for local deployment.
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Blueprint: AI Hardware Design
A new framework for designing AI hardware specifically targets the hardware-software co-design space critical for optimized local LLM inference. Blueprint addresses the emerging need for specialized compute platforms suited to on-device and edge LLM deployment.
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AI Agent Designs a RISC-V CPU Core from Scratch
An AI agent has successfully designed a complete RISC-V CPU core autonomously, demonstrating advanced reasoning capabilities and opening new possibilities for hardware optimization tailored to local LLM inference.
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Apple Brings Enhanced On-Device AI Features to iPhone
Apple continues expanding on-device AI capabilities in iOS, integrating machine learning features directly on iPhones. The company's focus on local processing improves privacy and reduces latency for consumer AI features.
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Nota AI and SiMa.ai Partner on Physical AI Technology for Local Deployment
Strategic partnership between Nota AI and SiMa.ai aims to advance physical AI and on-device inference, combining model compression with hardware optimization.