As frontier models move into production, they're running up against major barriers like power caps, inference latency, and rising token-level costs, exposing the limits of traditional scale-first ...

After raising $750 million in new funding, Groq Inc. is carving out a space for itself in the artificial intelligence inference ecosystem. Groq started out developing AI inference chips and has ...

Many decisions cannot wait for a round trip to the cloud. Driver monitoring, industrial sensing and adaptive audio all ...

Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into clients, servers, and devices on the edge of the network.

Google expects an explosion in demand for AI inference computing capacity. The company's new Ironwood TPUs are designed to be fast and efficient for AI inference workloads. With a decade of AI chip ...

Edge AI is the physical nexus with the real world. It runs in real time, often on tight power and size budgets. Connectivity becomes increasingly important as we start to see more autonomous systems ...

Kevin Pathrath an other warn of an AI Bubble and AI Ponzi with a potential 80% collapse. The core of the argument is the circular financing structure of the recent OpenAI-Oracle-Nvidia deal and the ...

Amazon Web Services has initiated Global Cross-Region inference of Anthropic Claude Sonnet 4 in Amazon Bedrock, which makes it possible to direct the AI inference request to several AWS regions ...

Artificial intelligence startup Runware Ltd. wants to make high-performance inference accessible to every company and application developer after raising $50 million in Series A funding. It’s backed ...

The study finds strong rebound effects in AI systems. Improvements in computational efficiency often lower the cost per task, ...