The world’s foremost AI chip company, Nvidia, has launched a new “DSX Ready” qualification program for products and solutions that have completed “category-specific qualification requirements for AI factory infrastructure,” initially focusing on battery energy storage systems and cooling products.
While best known for the specialized GPUs and chips underpinning the AI boom, Nvidia is extending its considerable reach into AI data center infrastructure and ecosystems. Its reference designs now stretch across computing, networking, power and cooling, with partners providing much of the equipment needed to build what Nvidia calls “AI factories,” and which the hyperscalers are racing to construct or fund.
The latest initiative is DSX Ready, part of Nvidia’s wider DSX branding and platform for what it calls “design, simulation and operations” in these AI factories.
The new DSX Ready qualification initially covers battery energy storage systems (BESS) and cooling (via cooling distribution units or CDUs)) that meet applicable requirements under Nvidia’s AI factory reference designs. Additional infrastructure and software categories are said to follow.
Nvidia said the initial program brings power systems and liquid-cooling infrastructure under a common qualification framework, with requirements tailored to each technology.
For BESS, the qualification process is run by the equipment supplier before Nvidia reviews the resulting data. The requirements focus particularly on the behavior of the power conversion system at the AC terminals, including dynamic active and reactive power response, current limiting, ride-through, islanded operation and black-start capability.
Partners must provide the underlying evidence, including raw time-series data, summary plots, test configurations and pass-or-fail statements tied to Nvidia’s requirements. They must also document applicable industrial standards and regulatory certifications, including frameworks covering grid connection, fire safety and cybersecurity.
Nvidia is clear about the limits of the process. Passing qualification “does not replace site-level engineering or imply site-level stability,” with transformers, switchgear, generators and other site equipment remaining outside the qualification boundary.
The three BESS DSX Ready names
At launch, Nvidia has qualified BESS offerings from Hitachi Energy, LG Energy Solution and Tesla.
In alphabetical order, the listed systems are:
- Hitachi Energy’s BESS, comprising its WD4 PCS and battery storage, at 5 MW AC output and 10 MWh capacity.
- LG Energy Solution’s LGES Vertech JF2 2HR/4HR AC Link, at 5 MW AC output and 10 MWh capacity.
- Tesla’s Megapack 2XL, at 1.93 MW AC output and 3.85 MWh capacity.
The three suppliers are already established names in utility-scale energy storage. More notable for the storage sector is Nvidia formally defining how BESS should perform as part of AI data center power infrastructure, including load buffering, demand response and operation through grid disturbances, making the qualification focused on more on PCS behavior and AI-factory integration than battery cell sourcing, for example.
What they said:
Chang Beom Kang, head of ESS battery division at LG Energy Solution: “Being selected as a partner for NVIDIA’s first-ever DSX Ready program validates the strength and competitiveness of our BESS products. Building on our differentiated local manufacturing capabilities and technology leadership, we will further expand our digital infrastructure business and accelerate growth in this rapidly evolving market.”
Marco Berardi, head of grid & power quality solutions and service at Hitachi Energy: “As AI factories continue to scale, customers need power systems that can be deployed, integrated, and expanded quickly while maintaining reliability and resilience. As one of the first qualified BESS solutions in the NVIDIA DSX Ready program, this recognition reinforces Hitachi Energy’s position at the forefront of AI factory electrification combining advanced technologies, power quality solutions and systems expertise to support end-to-end power infrastructure for the next generation of AI applications.”
Tesla hadn’t made an official comment at the time of writing.
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