According to an October 2020 ESG study, nearly half of the companies surveyed have Artificial Intelligence (AI) or Machine Learning projects in production (with an additional 39% in the pilot or proof-of-concept stage). AI is pushing businesses to develop new architectures for managing storage challenges since it is, in many ways, a new and unfamiliar workload. To help, NVIDIA® GPUDirect® Storage (GDS) enables a direct data path between GPU memory and storage, increasing system bandwidth, decreasing latency and reducing load on the CPU. This webinar features Micron’s experiences using GDS along with ESG Research’s perspective regarding where these complementary technologies will have the greatest impact in emerging AI workloads.
Mike Leone, Senior Analyst of Data Platforms, Analytics, and AI – ESG
Currie Munce, VP Storage Solutions Architecture - Micron
CJ Newburn, Principal Architect, Compute Software Group - NVIDIA
Wes Vaske, Principal Storage Solutions Engineer – Micron