Webinar
Vcinity and NVIDIA
Conquering data locality for superior AI outcomes
November 7th | 10am PT / 1pm ET
Today’s enterprises are embedding Generative AI at the heart of their business strategies, using it to drive innovation, boost operational efficiency, and open up new revenue opportunities. GPUs have become the backbone of this transformation, delivering the accelerated compute platform required to process vast volumes of data for training and fine-tuning the AI models powering innovation. However, a growing challenge is emerging: how to move and access large, dispersed datasets quickly and securely enough to drive pace of AI advancements. Organizations often face bottlenecks in getting large volumes of data to the optimal compute environments, which slows down AI training, reduces efficiency, and impacts AI outcomes.
Join us on November 7 at 10am PT / 1pm ET as Steve Wallo, Vcinity CTO, and John Gentry, NVIDIA Global AI Platform Team, showcase how organizations can break through traditional data locality barriers and accelerate data access for more efficient AI development and deployment. Learn how Vcinity’s continuous data pipeline into NVIDIA Accelerated Compute Clusters and GPUs enables seamless access to data across massive, hybrid cloud compute infrastructure. Showcasing how to bring large datasets together with the right GPU compute platform, unlocking the full potential of accelerated AI Training and Inference, driving faster time to results, more powerful outcomes, and accelerated innovation.
What you’ll learn in this webinar:
- How Vcinity enables unprecedented access to distributed datasets, accelerating data transfer to NVIDIA GPUs
- Ways to eliminate secure data access challenges and improve AI workflows with Vcinity and the NVIDIA DGX Platform
- Real-world use cases from today’s AI leaders that are maximizing AI training performance and outcomes
