VSORA has announced a new AI inference processor targeting large-scale data center workloads and high-efficiency machine ...

We’ve gotten pretty good at building machine learning models. From legacy platforms like SAS to modern MPP databases and Hadoop clusters, if you want to train up regression or classification models, ...

Supermicro’s new Data Center Building Block Solutions (DCBBS) unify servers, liquid cooling, power, networking, and ...

SUNNYVALE, Calif.--(BUSINESS WIRE)--ParallelM, the leader in MLOps, today released a new version of MCenter that includes REST-based serving using Kubernetes to create a no-code, autoscaling ...

With so many machine learning projects failing to launch – never achieving model deployment – the ML team has got to do everything in their power to anticipate any impediments to model ...

Overview: NVIDIA’s H100 and A100 dominate large-scale AI training with unmatched tensor performance and massive VRAM capacity ...

Cupertino-based Apple doesn't talk publicly about AI acquisitions and has generally been tight-lipped about its overall strategy in the space, including its longstanding internal R&D in AI, even as ...

Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine ...

The partnership will transform the development process from concept to production for embedded machine learning in micropower devices. Eta Compute and Edge Impulse have announced that they are ...

Transcripts are generated using a combination of speech recognition software and human transcribers, and may contain errors. Please check the corresponding audio for the authoritative record. Penny ...

Machine learning veteran Eric Siegel argues in his new book that the hype around AI distracts from the very real revolution happening with companies using predictive technology. Eric Siegel had ...