GPU-accelerated workloads: Vultr and AMD revamp AI performance [Video]

Since graphics processing units offer unparalleled speed, efficiency and scalability for specific tasks that are computationally intensive, GPU-accelerated workloads are critical in the artificial intelligence age. 

The collaboration between Vultr’s composable cloud infrastructure and Advanced Micro Devices Inc.’s next-generation silicon architecture unlocks new frontiers of GPU-accelerated workloads, providing businesses with powerful, cost-effective and flexible resources to handle demanding AI functions, according to Kevin Cochrane (pictured, right), chief marketing officer of Vultr (aka The Constant Company LLC). 

“We have had a long-standing partnership with AMD,” he said. “On our core cloud compute, we are big consumers of AMD EPYC Processors to support some of the most complex cloud-native application workloads on the planet. HPC workloads as well. In particular, for our enterprise customers that are moving beyond the art of the possible in 2024 and moving into inference at scale for all of their agentic AIinitiatives, it’s incredibly important that they have that inference-optimized, cost-efficient, energy-efficient …