httpv://www.youtube.com/watch?v=hy1oyOpvj0A
In this video, QLogic’s Bill Webster describes how the company’s InfiniBand solutions help to scale HPC applications performance. Recorded at the ISC’11 Conference in Hamburg.
httpv://www.youtube.com/watch?v=hy1oyOpvj0A
In this video, QLogic’s Bill Webster describes how the company’s InfiniBand solutions help to scale HPC applications performance. Recorded at the ISC’11 Conference in Hamburg.
[SPONSORED GUEST CONTENT] Scheduled Ethernet is emerging as a viable alternative to InfiniBand for AI networking. Why? Because of its ability to offer comparable performance but with greater flexibility and cost-effectiveness.
With the ten must-have capabilities of an Enterprise AI platform outlined in this paper from Veritone, organizations can position themselves for rapid adoption of AI and ML at scale without requiring custom “from-scratch” model development, extensive AI expertise, or single-model dependency.
It’s often said that supercomputers of a few decades ago pack less power than today’s smart watches. Now we have a company, Tiiny AI Inc., claiming to have built the world’s smallest personal AI supercomputer that can run a 120-billion-parameter large language model on-device — without cloud connectivity, servers or GPUs.
