Compute | New York // Major Panel: Storage Wars - Optimizing storage for AI, from data ingestion to training and inference
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- Compute Main Stage
- Storage
- Open Session
Speakers
Gary Grider
HPC Division Leader, Los Alamos National Laboratory
Ramya Winstead
Global Head of Advanced Computing GTM for Automotive & Manufacturing, AWS
J Metz
Technical Director - Systems Design, SNIA Board of Directors Chair, Ultra Ethernet Consortium Chair, AMD
How am I going to train my new $72,000,000,000 AI model? Where am I going to keep all the data so it’s as secure as can be but hyper-accessible at the same time? Handling storage requirements for modern HPC-AI workloads is a monumental task as higher and higher capacity, speed and reliability are needed for adequate speed to market for AI.
Can your storage hardware withstand the oncoming surge in data volume? How can enterprises with more stringent regulatory standards around data management stay competitive? Will your storage stumble at the AI inference hurdle?
Join our panel as we discover:
- Forging Resilience: How can you bolster your storage to accommodate the increasing demand for large workloads whilst reducing data loss and downtime?
- Embedding Agility: Can your storage hardware provide the low latency and rapid access needed to test new models?
- Ensuring Security: How can you ensure your data is protected from ransomware without impinging on availability for AI?