ISC: DDN Unveils AI Data Hub for Enterprise Digital Transformation With AI Reference Architectures
Improves AI success through integration with Run:ai and publishes reference architectures with Graphcore and Habana Labs.
This is a Press Release edited by StorageNewsletter.com on June 6, 2022 at 2:02 pmDDN (DataDirect Networks, Inc.) announced the AI Data Hub, which improves AI success through integration with companies such as Run:ai and published reference architectures with companies such as Graphcore and Habana Labs Ltd., an Intel Corp. company.
Graphcore DDN storage reference architecture
The AI Data Hub is part of the firm’s continued initiative to simplify AI-driven digital transformation projects for enterprises.
Easy to use AI on single DDN platform
With an integrated DDN A3I and Run:ai single pane of glass solution, customers can optimize storage and data management to dynamically allocate infrastructure resources while accurately tracking IT resources.
“Our partnership with DDN is about supporting IT to simplify management of the full AI infrastructure stack, including storage, accelerators and orchestration,” said Omri Geller, CEO and co-founder, Run:ai. “We’re proud to work closely with DDN to help their customers get better utilization of GPU resources and speed up the time it takes to get AI initiatives to market.“
AI compute, storage alliances and reference architectures
Optimized for accelerated AI workloads, A3I solutions combined with Graphcore’s Bow processors and Intel Habana Labs’ Gaudi AI processors accelerate corporations’ digital transformation with performance, enhanced IT productivity and flexibility at any scale.
“DDN empowers organizations leveraging AI to dramatically enhance business value and insight, by merging computing, analytics and networks into a unified AI-enabled IT infrastructure,” said Dr. James Coomer, SVP, products. “With DDN A3I enablement, platforms like Run:ai and compute systems based on Graphcore and Habana Labs become true enablers of value-add digital transformation.“
The company has developed easy to implement reference architectures (RAs) for both Graphcore IPU Pod systems and the Supermicro x12 Gaudi AI servers using Intel Habana Labs’ Gaudi Deep Learning processors, which make configuration and deployment easier. The RAs also integrate into enterprise IT infrastructures, boosting capabilities for business insight and consistent and scalable data management. The firm recently won Intel’s Channel Partner of the Year award for this collaboration.
Joining the company existing RAs with Nvidia Corp., these documents allow customers to understand how to ingrate and grow their AI infrastructure with simple blueprints. The firm is also working with several other AI accelerators on similar documents. With a data-centric approach to AI, companies can leverage DDN and its scalable AI platform as its AI Data Hub to connect all computing systems to one scalable storage repository. This approach reduces the movement and management of data to maximize AI, DL, and analytics application performance.
Resources:
Graphcore reference architecture
DDN A3I with Supermicro Gaudi X12 servers reference architecture (registration required)
DDN and Habana Labs Webinar
Run.ai
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