… With the DC-ROMA Mainboard III, DeepComputing continues its mission of bridging open hardware innovation with real-world usability, making RISC-V computing more practical, modular, and widely available. …
… Surface is purpose-built for developers who need a trusted, consistent hardware baseline, helping to enable on-device AI processing that can help offload everyday workloads from the cloud and optimize overall AI infrastructure costs at scale. …
… Dell Services: End-to-end guidance through the full agentic AI lifecycle - from initial strategy and hardware deployment to workflow alignment, agent prioritization and ongoing optimization - accelerating time-to-production and closing internal AI skills gaps. …
… Access to local inference I've written about inference snaps in the past and presented more detail at a recent AI Native Dev meetup , but the bottom line is that inference snaps provide simplified local access to inference with models that have been specifically optimised for your hardware. …
… However, one principle in computing suggests that whenever there is an increase in hardware efficiency, software quickly adapts to consume the difference and increase the load. As more optimizations are made to serve AI tokens efficiently, more token consumption will occur. …
… The rise of AI-assisted development has meaningfully lowered the barrier to building and distributing tools within the Stream Deck ecosystem, accelerating platform adoption and reinforcing Elgato Marketplace as the hub for content creation. …
… "Businesses are looking to adopt AI PCs at scale, not just in isolated use cases," said Tom Butler, Vice President, Commercial Portfolio & Product Management, Lenovo. …
… INT8 quantized inference and training on RDNA 4 AI accelerators, running on dedicated hardware without competing for shader resources. …