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EVE Energy Shows Off BBU Products for AI Data Centers at OCP China 2026

Jul 30th,2026 156 Views

A Focus on 800V HVDC and Reliable Backup Power

EVE Energy made a strong showing at the 2026 Open Compute Project China Summit in Beijing on July 9. The company brought its full lineup of Battery Backup Unit products and positioned them as the core of its end to end energy storage system for AI data centers. Industry leaders gathered at the event to talk about next gen AI data center infrastructure, high voltage direct current power delivery, and how computing and energy can work together.
Dr. Zhang Xinyi, Director of the New System Research Center at EVE Energy's Battery System Research Institute, gave a keynote speech. She broke down the major shifts happening in AI data centers and mapped out where energy storage innovation needs to head next. Her talk made it clear that EVE is focused on solving the gap between skyrocketing compute demands and reliable power infrastructure.

Three Tier Approach to Data Center Power Problems

As AIGC model training and inference workloads grow fast, data centers face some serious challenges. Peak computational loads are going through the roof. They need millisecond level uninterruptible power. And they have to manage round the clock renewable energy peak shaving. EVE Energy's full link energy storage portfolio tackles these issues at three levels.

Rack Level BBU Solutions

At the rack level the BBU solutions smooth out high frequency GPU power fluctuations that happen during model iteration. This prevents expensive training interruptions.

Distribution Side Backup Cabinets

For distribution side applications the Panshield Series 6C and 10C high rate backup cabinets work reliably from minus 30 degrees Celsius up to 80 degrees Celsius. They handle short duration backup needs with solid performance.

Source Grid Side Long Duration Storage

On the source grid side the Mr. Big Family long duration energy storage systems integrate with wind and solar power. They use EVE's ultra safe stacking cell technology and extended float charge lifespan to deliver stable power for always on AIGC clusters.
This three layer approach tackles the triple problem of compute related energy consumption, supply security, and green energy compliance.

Why 800V HVDC Matters

Dr. Zhang pointed out that AI compute clusters are pushing the industry toward 800V HVDC as the standard setup. For the unique high amplitude and frequent load swings in AI training, EVE's BBU delivers two kinds of value. First it provides seamless millisecond level power takeover during grid problems to keep compute running without stopping. Second it offers distributed rack level energy storage that actively dampens sudden power surges. Together these capabilities reduce the risk of compute outages caused by grid issues. Traditional capacitors and diesel generators cannot fully cover these situations.

Four Technology Pillars for the Future

Looking ahead EVE Energy is working on four core technology areas. These include comprehensive cell performance upgrades, high density power electronics development, a shift toward liquid cooling thermal management, and intelligent active control of storage systems. The R&D teams have already finished multiple rounds of system level simulations, safety combustion tests, and extreme load scenario validations. Ongoing projects include liquid cooled BBU units and full system safety certifications. Progress is steady across all fronts.

The Big Picture

A company representative put it simply: in the era of computing power, electricity is the foundation. EVE Energy wants to make sure every watt of compute capacity is backed by reliable energy storage. Through its full link AIDC energy storage framework covering source grid, distribution, and rack levels, the company is inviting partners across the industry to work together. That means using mature self developed products for immediate deployment, joint R&D for cutting edge technologies, and collaborative ecosystem building for comprehensive computing energy synergy. The goal is to explore the emerging GW level market for AI data center power compute coordination.

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