In this video, Sarah Tariq from Nvidia presents: Lessons learned in improving scaling of applications on large GPU clusters.
The presentation was recorded at the HPC Advisory Council Stanford Conference 2013. Download the slides (PDF).
In this video, Sarah Tariq from Nvidia presents: Lessons learned in improving scaling of applications on large GPU clusters.
The presentation was recorded at the HPC Advisory Council Stanford Conference 2013. Download the slides (PDF).
[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.
Mosa Emamjomeh, CTG Federal Executive Director of Engineering, delves into the Dell PowerEdge XE9680 with Bob Ciotti, CTG Federal Chief Architect of HPC & AI. The XE9680 is a high-performance server designed for intensive AI, machine learning, and HPC workloads. It is optimized to handle complex computational tasks with advanced GPUs, high memory capacity, and […]
…. HPC and AI providers (have) a challenge and an opportunity. They must reimagine how to secure sensitive data without disrupting performance. They can now leverage new forms of encryption that protect sensitive data while in use without creating friction or lower performance.
