The multibillion-dollar deal shows how the growing importance of inference is changing the way AI data centers are designed ...

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...

For years, the network fabric inside data centers were built for relatively predictable traffic flows. Testing this ...

Lenovo said its goal is to help companies transform their significant investments in AI training into tangible business ...

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 ...

In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI ...

Instead of manually placing every switch, buffer, and timing pipeline stage, engineers can now use automation algorithms to ...

As the AI infrastructure market evolves, we’ve been hearing a lot more about AI inference—the last step in the AI technology infrastructure chain to deliver fine-tuned answers to the prompts given to ...

Articul8, the generative AI Intel spinout, has unveiled a Network Topology Agent tool designed to provide network operators with increased visibility of their systems. The agentic AI solution, known ...

A decade ago, when traditional machine learning techniques were first being commercialized, training was incredibly hard and expensive, but because models were relatively small, inference – running ...

Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...

Most organisations will never train their own artificial intelligence (AI) models. Instead, most customers’ key challenge in AI lies in applying it to production applications and inference, with ...