NetApp goes all out for AI with AFX and AI Data Engine
Briefly

NetApp goes all out for AI with AFX and AI Data Engine
"At NetApp Insight we witnessed one of the most fundamental product launches of NetApp in the past decades. With NetApp AFX, it now claims to have a storage layer designed for AI, specifically for the inferencing workloads that many organizations want to run. In addition to new hardware, this new offering also brings some necessary new features in the area of software."
"Earlier this year, IDC announced that NetApp is number one in the All-Flash market (systems without HDDs but with only flash storage). It reported growth of 16 percent compared to the previous year. This means it is growing faster than both Dell (which showed a decline) and even the darling of the All-Flash market, Pure Storage. Only HPE grew faster, but it has a much smaller market share."
"With all the attention focused on AI, you might think that organizations are all dancing in the streets because of all the successes its use has brought. However, nothing could be further from the truth. Virtually all AI projects that organizations initiate themselves fail. According to NetApp, the underlying infrastructure plays an important role in this. It is simply not suitable for the AI workloads that many (larger) organizations are looking at. In particular, everything is still in its infancy in the field of inferencing."
NetApp launched AFX, a new product combining hardware and software to provide a storage layer engineered for AI inferencing workloads. The offering includes the AI Data Engine, a software capability designed to optimize data flows and performance for inference. The launch targets infrastructure gaps that contribute to widespread AI project failures, especially for larger organizations. Earlier IDC data placed NetApp first in the All-Flash market with 16% year-over-year growth, outpacing Dell and Pure Storage; only HPE grew faster but from a smaller base. The new stack aims to make inferencing more practical and performant for enterprise deployments.
Read at Techzine Global
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