Hitachi Vantara integrates its diverse manufacturing capabilities to enhance AI workload processing using its Hitachi iQ converged infrastructure. This includes combining Nvidia GPUs, enterprise AI software, and Hitachi's VSP One storage arrays. The infrastructure can accommodate varying server configurations, with scalable options from one to 16 SuperMicro servers for AI processing. Its architecture facilitates efficient data management through Hammerspace storage software and Cisco networking. The VSP One array underpins the system, improving data accessibility and processing for advanced applications such as large language models.
"Our group uses Nvidia's Omniverse digital twin ecosystem, which provides training data for AI that allows for development and extension of robotic capacity in manufacturing," said CTO for AI at Hitachi Vantara, Jason Hardy.
Hitachi Vantara's AI converged product family, Hitachi iQ, is a complete converged infrastructure that can go from one to 16 SuperMicro servers, each with eight Nvidia GPUs for AI processing using Nvidia's HGX configuration.
"To base the whole thing on our VSP array offers some benefits," said Hardy. "Among them is creating a robust memory for large language models (LLMs) that enhances processing efficiency in data-intensive tasks."
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