This year’s NVIDIA GTC event is certain not to disappoint. The big buzz around cloud-based NVIDIA GPUs is the introduction of deep learning and AI capabilities. Having on-demand versatility by which GPUs can be consumed and transacted empowers greater productivity and efficiency for your most innovative workloads.
This year we are sharing examples of some of the most versatile GPU-powered resources anywhere in the public cloud, with a clear understanding of maximum cost-for-performance metrics. We’re focusing on three main application use cases for GPUs:
AI Supercomputing scale and performance
AI for machine learning, model training, and inferencing
Edge Computing for hybrid scenarios, decoupled environments, and IoT device ecosystems
What’s Possible and What’s Next for AI-powered Organizations
Mitra Azizirad, Corporate Vice President, Microsoft AI and Innovation, Microsoft
NVIDIA DLI Training Powered by Azure
Microsoft is proud to host the NVIDIA Deep Learning Institute on its popular, instructor-led full-day online workshops covering AI, accelerated computing, and data science, all powered on Microsoft Azure.
The upcoming GTC is shaping up to mark a major leap forward in how GPUs are utilized for modern application and service development workflows.