Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, turbocharges AI inference, as has been shown time and again by AI upstarts ...

Much of the conversation around AI today is focused on building cloud capacity and massive data centers to run models. Companies like Apple and Qualcomm are in the early stages of making on-device AI ...

Agentic applications are LLM that iteratively invoke external tools to accomplish complex tasks. Such tool-based agents are rapidly becoming the dominant paradigm for deploying language models in ...

The Solution: "The Hard Market" This engine simulates a realistic, difficult market environment where 75% of customers are 'Neutral' (ignore ads). A traditional model fails here. Our T-Learner ...

Shakti P. Singh, Principal Engineer at Intuit and former OCI model inference lead, specializing in scalable AI systems and LLM inference. Generative models are rapidly making inroads into enterprise ...

If GenAI is going to go mainstream and not just be a bubble that helps prop up the global economy for a couple of years, AI inference is going to have to come down in price – and do so faster than it ...

Tripling product revenues, comprehensive developer tools, and scalable inference IP for vision and LLM workloads, position Quadric as the platform for on-device AI. ACCELERATE Fund, managed by BEENEXT ...

The big news this week from Nvidia, splashed in headlines across all forms of media, was the company's announcement about its Vera Rubin GPU. This week, Nvidia CEO Jensen Huang used his CES keynote to ...

From Hercules to Bigfoot, the world loves a myth, and autodom has its fair share. We've even compiled some of the dumbest car myths that readers have heard. Spoiler alert: a car engine's break-in ...

Cloudflare’s NET AI inference strategy has been different from hyperscalers, as instead of renting server capacity and aiming to earn multiples on hardware costs that hyperscalers do, Cloudflare ...