Presentation
Next Generation NVMe-Native Parallel File System Accelerating AI Workloads
Presenter
Event Type
Exhibitor Forum
Architectures
Storage
TimeThursday, November 15th10:30am - 11am
LocationD173
DescriptionAny IT infrastructure that supports an AI and analytics workflow needs to be able to handle a large number of files, and large amounts of data storage with high throughput access to all the data. Legacy file systems can’t supply high throughput and high file IOPS, as they were designed for HDD and are not suitable for low latency, small file IO and metadata heavy workloads that are common in AI and analytics. This results in I/O starvation, a major problem for an AI system. We’ll introduce a next-gen massively parallel shared file system that is NAND FLASH and NVMe-optimized, which is solving the I/O starvation problem.
What you will learn:
- Case study: how a large autonomous driving car manufacturer maximizes their investment in GPUs by ensuring they are saturated with data
- How to make I/O compute bound again
- How to maximize data accessibility for your cluster
What you will learn:
- Case study: how a large autonomous driving car manufacturer maximizes their investment in GPUs by ensuring they are saturated with data
- How to make I/O compute bound again
- How to maximize data accessibility for your cluster
Presenter
