Hitachi Vantara, the data storage and hybrid cloud subsidiary of Hitachi Ltd., has achieved the titles of Leader and Fast Mover in the 2025 GigaOm Radar for High-Performance Storage Optimised for AI Workloads. This is the first of GigaOm’s reports dedicated to storage for AI, and Hitachi Vantara’s achievement indicates a lot of momentum in the race to build AI-ready infrastructure for modern enterprises. Hitachi Vantara should be in the thick of the AI infrastructure conversation, given the prominent performance and scalability, as well as the intelligent workload management it can provide.
GigaOm Radar Highlights AI-First Innovation
GigaOm’s latest radar report sets a new standard by evaluating storage vendors through AI requirements—speed, scalability, and reliability. Hitachi Vantara excelled in all three categories, making it a Leader and a Fast Mover, indicative of the company’s quick response to AI-driven market requirements and being able to deliver established, enterprise-grade performance.
A focus on workload isolation is why Hitachi Vantara was recognized as a Leader. AI can run multiple workloads requiring different resources–for example, running training concurrently with inference–without disturbing one another. This unique capability contributed significantly to GigaOm’s ranking of the importance of maximizing performance, which has put Hitachi Vantara way ahead of its competitors.
Hitachi iQ Brings Stability to AI Operations.
The company’s Hitachi iQ platform was central to its leadership placement. It manages the traffic patterns intelligently and isolates workloads to prevent bottlenecks—all while maintaining high throughput levels. In enterprises that rely on any kind of real-time data, predictive or modeling tasks, or serious computational tasks, consistency is very important and allows AI teams to run multiple experiments, train multiple models, and deal with live data without system failure. Hitachi Vantara’s edge lies not just in raw performance but in control. The ability to keep workloads isolated while managing them with precision is exactly what enterprises need when scaling AI applications.
Deep GPU Integration and Tiered Architecture
Another significant consideration in Hitachi Vantara’s recognition stems from its existing, deep integration with GPU-based systems. With GPU-Direct Storage, data flows directly between storage and GPUs, dramatically speeding up model training and reducing latency. This is a valuable consideration for organizations in AI-heavy industries like healthcare, finance, and autonomous vehicles, where response times are critical. Earlier this year, Hitachi Vantara launched a new modular system called the Hitachi iQ M Series, on a consumption-based model with support for scalability and fully integrated with the Virtual Storage Platform One (VSP One).
Fundamentally, the integration of the VSP One and Hitachi iQ M Series empowers AI teams to automatically migrate data from a fast first-tier, NVMe flash storage to a more cost-efficient object storage. It is a clever way to manage scarce resources with a hands-off approach. With Hitachi Vantara, AI teams can maintain a direct tier of the most critical and latency-sensitive AI data while offloading long-tail, long-term storage options to lower-cost options. This is the essence of performance with efficiency—an obvious reality that every AI infrastructure roadmap must have.
Recognition Reflects Broader Momentum
This GigaOm recognition follows a series of wins for Hitachi Vantara. The corporation has recently received the Sustainable Technology Award as part of the Global Tech & AI Awards for the VSP One Block platform in 2025. The Sustainable Technology Award recognizes a corporation focused on sustainability while not sacrificing performance, which is where enterprises have found themselves in the modern era, with sustainability growing in importance. The GigaOm Radar has indicated once again with Hitachi Vantara’s standing as a credible, proven leader in AI infrastructure.
The AI-optimized storage, built-in workload isolation, and efficient updates give an unbelievable competitive advantage within the fast-paced technology environment. As AI uptake continues on an upward trend, enterprises need infrastructure that can scale quickly and efficiently without sacrificing other services. Hitachi Vantara is demonstrating that they are more than capable of meeting that need with the platforms to enable the ramp-up of AI at the next level.
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