Baidu, one of China's artificial intelligence champions, on Thursday unveiled its Baige 5.0 AI infrastructure platform - powered by a mix of semiconductors, including those designed by its Kunlunxin ...

Most Xeon chips are all P-core, but this is different. While it’s an evolution of Intel’s Sierra Forest, it features a new ...

Inferencing, the critical stage for fueling generative AI workloads, can run cost-effectively on premises. Mystery solved.

For inferencing devices, being able to re-use IP or other parts of a chip can significantly improve time to market, as well, which is important because algorithms are almost constantly being updated.

The company expects network traffic to reach “unprecedented levels” as agentic AI and inferencing workloads proliferate, ...

SE: Edge inferencing chips are just starting to come to market. What challenges did you run into in developing one? Wang: We got a chip out and back last September, and we were able to bring it up ...

New data from the MLPerf benchmark is available for a wide variety of devices. Building new AI/ML benchmarks is essential to testing the performance of these devices.

Even though Run.ai's early focus was on training, the company was able to take a lot of the technologies it built for that and apply them to inferencing as well.

IBM introduces Telum chips aimed at AI inferencing workloads like fraud detection Systems using the chips are expected to be ready for the first half of 2022.