Latest news with #HitachiiQ
Channel Post MEA
23-06-2025
- Business
- Channel Post MEA
GigaOm Radar Recognizes Hitachi Vantara As a Leader And Fast Mover In High-Performance Storage Optimized For AI Workloads
Hitachi Vantara has announced it has been named a Leader and Fast Mover in the 2025 GigaOm Radar for High-Performance Storage Optimized for AI Workloads. This marks the first iteration of this GigaOm Radar report in this category, and Hitachi Vantara's inclusion as a leader highlights the company's ability to deliver high-performance, enterprise-ready infrastructure to meet the complex demands of AI and machine learning workloads. The GigaOm Radar for High-Performance Storage Optimized for AI Workloads is a comprehensive evaluation of the advanced storage market for AI workloads management. Inclusion in this report requires solutions to meet foundational criteria, and vendors are evaluated based on the key capabilities and features of their offerings. Leaders are selected based on strong performance across both current capabilities and forward-looking innovation, including the ability to execute as well as feature completeness and future readiness, representing solutions that are mature and strategically aligned with evolving enterprise AI demands. Hitachi Vantara was recognized for its Hitachi iQ portfolio of AI-ready infrastructure solutions, securing positive ratings in several key areas, including: Quality of service and workload isolation: The report notes that 'Hitachi iQ offers world-class QoS and workload isolation capabilities.' Hitachi iQ delivers advanced workload isolation by combining file system-level policies with a flexible cluster architecture, allowing teams to effectively allocate resources for a consistent, reliable performance across high-priority AI/ML workloads – even in multi-tenant or shared environments. The report notes that 'Hitachi iQ offers world-class QoS and workload isolation capabilities.' Hitachi iQ delivers advanced workload isolation by combining file system-level policies with a flexible cluster architecture, allowing teams to effectively allocate resources for a consistent, reliable performance across high-priority AI/ML workloads – even in multi-tenant or shared environments. GPU-direct storage integration : The platform features optimized drivers that deliver significant performance benefits for AI and ML workloads by enabling streamlined data transfer between storage and GPU memory. : The platform features optimized drivers that deliver significant performance benefits for AI and ML workloads by enabling streamlined data transfer between storage and GPU memory. AI-optimized data layout and management: Hitachi iQ demonstrates intelligent and automated data placement across different storage tiers, including TLC/QLC NVMe flash storage for performance and density, as well as object storage. Additionally, the portfolio utilizes real-time monitoring and user-defined policies that is designed to support optimal performance and cost efficiency across different data patterns. 'What really stood out about Hitachi Vantara's offerings is the quality of service and the ability to isolate workloads,' said Whit Walters, field CTO and analyst at GigaOm. 'They've delivered a well-integrated, scalable platform in Hitachi iQ, backed by enterprise-proven storage. This combination gives organizations a powerful and flexible foundation for operationalizing AI at scale, especially as large-scale AI and GenAI workloads will require the ability to manage data and performance as demands continue to grow.' The report accentuates Hitachi Vantara's ability to innovate, citing collaboration with NVIDIA on the NVIDIA Data Platform on Hitachi iQ. Additionally, the report highlights the platform roadmap that includes new hardware and AI solutions, such as the Hitachi iQ M Series, announced in March 2025. It also highlights Hitachi Vantara's advanced integration with Virtual Storage Platform One (VSP One), enabling intelligent tiering between NVMe flash and object storage. 'AI isn't just pushing the boundaries of what infrastructure needs to do; it's completely redrawing them,' said Octavian Tanase, chief product officer at Hitachi Vantara. 'Our goal with Hitachi iQ is to give customers a high-performance foundation that removes complexity, accelerates outcomes, and adapts to whatever their AI journey requires next. By integrating Hitachi iQ with our VSP One platform, we're enabling a flexible, intelligent storage strategy that's ready for what's now and what's next.' The rating reflects the latest recognition for Hitachi Vantara technology. In May, the company won the Sustainable Technology Award at the Global Tech & AI Awards 2025 for advancing sustainable data infrastructure with its VSP One Block solution. And earlier this year, the company announced that GigaOm recognized it as a Leader and Outperformer in the GigaOm Radar for Primary Storage for its VSP One hybrid cloud data platform.
Techday NZ
19-06-2025
- Business
- Techday NZ
Hitachi Vantara named leader for AI storage in GigaOm Radar 2025
Hitachi Vantara has been recognised as a Leader and Fast Mover in the 2025 GigaOm Radar for High-Performance Storage Optimised for AI Workloads. The newly released GigaOm Radar report evaluates advanced storage platforms designed specifically for artificial intelligence (AI) workloads. This is the first time the report has assessed high-performance storage optimised for AI, and Hitachi Vantara's positioning underscores the company's capabilities in supporting enterprise-scale data requirements for AI and machine learning (ML). Report evaluation The GigaOm Radar for High-Performance Storage Optimised for AI Workloads reviews market solutions based on their key capabilities, foundational criteria, feature completeness, and readiness for future demands. Leaders in this assessment are noted for their maturity and strategic alignment with evolving enterprise AI needs, as well as their ability to execute at scale. Hitachi Vantara's placement as a Leader and Fast Mover was attributed to its Hitachi iQ portfolio, which provides AI-ready infrastructure solutions. The report highlighted several strengths, including quality of service (QoS) and workload isolation, GPU-direct storage integration and AI-optimised data layout and management. The report noted, "Hitachi iQ offers world-class QoS and workload isolation capabilities." By combining file system-level policies with flexible cluster architecture, Hitachi iQ enables effective resource allocation, supporting consistent and reliable performance for high-priority AI and ML workloads, even in multi-tenant or shared environments. The platform's GPU-direct storage integration was identified as another area of strong performance. Optimised drivers within Hitachi iQ support efficient data transfer between storage and GPU memory, enhancing outcomes for AI and ML workflows. Additionally, Hitachi iQ's data management strategy utilises intelligent placement across storage tiers, such as TLC/QLC NVMe flash storage for high performance and object storage for additional capacity. Real-time monitoring and user-defined policies are built in to balance performance and cost efficiency for varying data patterns. Industry commentary "What really stood out about Hitachi Vantara's offerings is the quality of service and the ability to isolate workloads," said Whit Walters, Field CTO and Analyst at GigaOm. "They've delivered a well-integrated, scalable platform in Hitachi iQ, backed by enterprise-proven storage. This combination gives organisations a powerful and flexible foundation for operationalising AI at scale, especially as large-scale AI and GenAI workloads will require the ability to manage data and performance as demands continue to grow." The GigaOm report also referenced ongoing collaborations including a partnership with NVIDIA on the NVIDIA Data Platform for Hitachi iQ, a partnership that adds to the capabilities of the platform. The roadmap for Hitachi iQ includes new hardware and AI solutions, among them the Hitachi iQ M Series, announced earlier in the year. Integration with the Virtual Storage Platform One (VSP One) enables further intelligent tiering between NVMe flash and object storage, providing additional flexibility and performance optimisation. Octavian Tanase, Chief Product Officer at Hitachi Vantara, commented on the recognition. "AI isn't just pushing the boundaries of what infrastructure needs to do; it's completely redrawing them," he said. "Our goal with Hitachi iQ is to give customers a high-performance foundation that removes complexity, accelerates outcomes, and adapts to whatever their AI journey requires next. By integrating Hitachi iQ with our VSP One platform, we're enabling a flexible, intelligent storage strategy that's ready for what's now and what's next." Ongoing awards This rating follows recent industry recognition for Hitachi Vantara. In May 2025, the company was awarded the Sustainable Technology Award at the Global Tech & AI Awards for its efforts in sustainable data infrastructure with the VSP One Block solution. Earlier in the year, GigaOm also recognised Hitachi Vantara as a Leader and Outperformer in the GigaOm Radar for Primary Storage, related to its VSP One hybrid cloud data platform. The GigaOm Radar for High-Performance Storage Optimised for AI Workloads aims to shed light on platforms capable of addressing the increased performance, scalability, and operational requirements integral to enterprise AI and machine learning deployments.
Business Wire
05-06-2025
- Business
- Business Wire
Southwest Power Pool (SPP) Partners with Hitachi to Develop Advanced AI Solution for Critical Power Transmission Reliability and Flexibility Challenges
SANTA CLARA, Calif. & LITTLE ROCK, Ark.--(BUSINESS WIRE)--Hitachi, Ltd. (TSE:6501, "Hitachi") and Southwest Power Pool, Inc. (SPP) today announced a strategic partnership to solve critical and imminent problems slowing the modernization of U.S. energy infrastructure. The partnership will produce an integrated AI-based solution that accelerates generator interconnection (GI) by reducing study analysis times by 80% while also informing faster, higher-quality decision-making by GI customers. This will markedly improve SPP's ability to facilitate the addition of its 14-state region's generating capacity to keep pace with increasing demand for electricity. U.S. energy demands are rising by 2 to 3 percent annually *1, driven by data center growth, expanding manufacturing, and electrification. Data centers alone are projected to consume up to 12 percent *2 of U.S. electricity by 2028, versus 4.4 percent in 2023. Such trends drive an alarming supply and demand gap as generating capacity margins in the SPP footprint could decline from 24 percent in 2020 to just 5 percent in 2029 unless an intervention occurs. That intervention starts with end-to-end technical innovation, first at the point of generator interconnection. Currently, the U.S. generates 1.28 terawatts of power *3. More than twice that generated amount waits in a queue as unusable backlog caused by today's grid interconnect process. The long wait times are due to exhaustive, time-consuming analysis and simulation studies required to ensure that new energy source introductions don't compromise existing grid reliability, stability, or performance. To address this gap, the three organizations will combine their industry and technical expertise. The partnership draws on multiple Hitachi competencies for a complete solution: Method's design services; GlobalLogic's software engineering services; Hitachi Energy's energy portfolio management asset modeling solutions; Hitachi R&D's AI-based energy grid algorithm; and Hitachi Vantara's integrated storage and compute platform Hitachi iQ, built on NVIDIA accelerated computing, networking, and AI software. As the regional transmission organization (RTO) framing the project, SPP will guide the integration of these technical solutions and services, leveraging its deep expertise in energy grid optimization. As a reliability coordinator prioritizing operational and customer experience improvements, SPP's input will also ensure the project outcomes align with industry-wide requirements and regulations. 'Our nation's demand for electricity has risen sharply in recent years following a long period of slow growth. Our industry has struggled to keep up with this sudden and significant shift,' said SPP President and CEO Lanny Nickell. 'There are a lot of would-be power producers out there waiting to connect to the grid, but yesterday's systems and technology haven't been sufficient to enable us to bring incremental capacity online fast enough. It's time to fix that, and SPP is proud to work with Hitachi and NVIDIA, two AI industry leaders who have the means to help realize a vision of a better energy future for our nation.' The integrated solution is an industrial AI system differentiated by its advanced proprietary AI algorithms and high performance enabled by Hitachi iQ's enterprise AI solution stack which sit at its core. Ultimately, dynamic AI-driven technologies will be applied to various study areas, such as: Process automation Predictive analysis Communication systems integration The partnership with Hitachi and NVIDIA runs parallel to other improvements underway at SPP, including a from-the-ground-up reimagining of its transmission planning processes to align them with current and future industry needs. Together, these technological and process innovations are expected to set high-water marks in the electricity industry for generator interconnection, mid- and long-term planning, long-term forecast accuracy, analysis and deployment of additional grid-enhancing technologies, and more. 'This initiative is about reimagining the electricity production and distribution process through the lens of modern AI technology,' said Frank Antonysamy, Chief Growth Officer, Hitachi Digital. 'Real-time data access is needed to create truly realistic scenarios caused by new generator introductions. The AI solution we're all developing will provide that data, among other advantages. SPP can then make significantly quicker, better-informed decisions that will increase overall ROI while better serving the nation's population with accessible power. We're proud to be a part of this important three-way collaboration addressing such a crucial problem.' 'Interconnection process acceleration is critical to meet the unprecedented demand on our grid,' said Marc Spieler, Senior Managing Director of the Global Energy Industry at NVIDIA. 'Using advanced NVIDIA accelerated computing and AI, Hitachi and SPP are helping speed interconnection studies to bring essential infrastructure online faster.' The project's phase one milestones are expected to be completed by winter 2025/26. They include initial systems acceleration, data management processes optimization, and the introduction of AI-augmented simulation modeling among other goals. *1: *2: *3: About SPP Southwest Power Pool, Inc. ( is a regional transmission organization: a not-for-profit corporation mandated by the Federal Energy Regulatory Commission to ensure reliable supplies of power, adequate transmission infrastructure and competitive wholesale electricity prices on behalf of its members in 14 states. SPP ensures electric reliability across a region spanning parts of the central and western U.S., provides energy services on a contract basis to customers in both the Eastern and Western Interconnections, and is expanding its RTO and developing a day-ahead energy market in the west. The company's headquarters are in Little Rock, Arkansas. About Hitachi, Ltd. Through its Social Innovation Business (SIB) that brings together IT, OT(Operational Technology) and products, Hitachi contributes to a harmonized society where the environment, wellbeing, and economic growth are in balance. Hitachi operates globally in four sectors – Digital Systems & Services, Energy, Mobility, and Connective Industries – and the Strategic SIB Business Unit for new growth businesses. With Lumada at its core, Hitachi generates value from integrating data, technology and domain knowledge to solve customer and social challenges. Revenues for FY2024 (ended March 31, 2025) totaled 9,783.3 billion yen, with 618 consolidated subsidiaries and approximately 280,000 employees worldwide. Visit us at
