VAST Data Collaborates with Cisco and NVIDIA on High-Performance AI Infrastructure Solution

VAST Data, in collaboration with Cisco and NVIDIA, made a groundbreaking announcement at Cisco Live 2024. The trio unveiled a solution that promises to revolutionize the way enterprises handle large volumes of data at an exabyte scale using high-performance AI infrastructure coupled with an Ethernet-based AI fabric.

The VAST Data Platform, known for its unified storage, database, and data-driven function engine services built for AI, is now optimized and supported with Cisco Nexus HyperFabric. This integration allows for seamless orchestration, deployment, and management of the stack, providing end-to-end visibility of compute, networking, storage, and data management.

The Cisco Nexus HyperFabric AI clusters, powered by NVIDIA accelerated computing, offer enterprises the ability to build AI data centers with unprecedented scale and performance. This solution integrates VAST’s DASE architecture, powered by NVIDIA BlueField DPUs, to provide fast access to data for generative AI applications.

The collaboration between VAST Data, Cisco, and NVIDIA comes at a time when the Ethernet switching market is experiencing significant growth due to the rise in enterprise AI deployments. With this partnership, Cisco aims to consolidate compute resources, storage, and data management capabilities to meet the demands of today’s AI/ML platforms.

Renen Hallak, CEO and co-founder of VAST Data, expressed excitement about the partnership, stating that it simplifies the implementation of AI for enterprises transitioning from proof of concept to production. Jonathan Davidson, Executive Vice President and General Manager of Cisco Networking, highlighted the importance of efficient access to massive data sets for business innovation.

The certification of Cisco Nexus Ethernet-based switches with the VAST Data Platform ensures a seamless deployment experience for joint customers, offering innovative congestion management and real-time telemetry. This collaboration signifies a significant step towards simplifying network management and operations for AI applications across all infrastructure endpoints.