Sungrow EnerNeo SST Becomes the World’s First SST with Dual EU-US System-Level Certification: cTUVus + EMC + 13.8kV Reinforced Insulation

The surge in AI computing demand is pushing data center power architectures toward the 800V DC era. The China Energy Storage Alliance (CNESA) has noted that Sungrow’s EnerNeo solid-state transformer (SST) received system-level certification from TÜV Rheinland at the 2026 OCP Global Summit, becoming the world’s first SST to pass both European (IEC/EN) and American (UL) system-level certification and the first to secure a ticket to large-scale commercial deployment in the European and American data center markets. This article examines the substance of the certification, the technology route and the cost calculus behind the milestone.

At the 2026 OCP Global Summit, Zhang Di, President of Sungrow Source Intelligence, received a set of certificates from Sean Tilley, Vice President of the Product Services Business Unit of TÜV Rheinland Americas. The EnerNeo SST became the world’s first SST product to pass both European (IEC/EN) and American (UL) system-level certification, with the complete set of cTUVus, EMC and 13.8kV reinforced insulation certificates.

Not One Certificate, but a Stack

During the days of the OCP Global Summit, the convention center in San Jose, Silicon Valley, was packed with data center professionals. It was there that Sean Tilley handed Zhang Di the system-level and key-component certification certificates based on the UL, IEC, EN and 2 PfG series standards.

This certification covers the complete SST system. TÜV Rheinland conducted a system-level assessment of the EnerNeo against safety standards including UL 2877, IEC/EN 62477-1, IEC/EN 62477-2 and 2 PfG 3175, as well as EMC standards including EN 61000-6-2, EN 61000-6-4 and FCC Part 15. The core component, the high-frequency isolation transformer, additionally passed the dedicated 2 PfG 3179 certification, meeting the 13.8kV reinforced insulation requirement.

The outcome: the EnerNeo obtained the TÜV Rheinland certification mark, the cTUVus and EMC certificates, and the corresponding test reports. For Chinese equipment makers aiming to enter the European and American data center supply chains, completing this full set is far more difficult than passing any single test.

Sean Tilley (right), Vice President of the Product Services Business Unit of TÜV Rheinland Americas, presents the certification certificates to Zhang Di (left), President of Sungrow Source Intelligence.

Why System-Level Certification Is the Real Barrier

Some may ask: SST certification is not news, given that Eaton passed TÜV SÜD’s IEC 62477-2 certification in August. What is the difference?

The key lies in “system-level” and “dual-standard”.

The Solid State Transformer Specification v0.3, effective from June this year under the Open Compute Project (OCP) and jointly developed by Google, Microsoft and NVIDIA, defines the SST as a megawatt-class power electronics converter: a 13.8kV or 34.5kV medium-voltage AC input and an 800V DC output, with a power range corresponding to 5MW or 10MW. The specification covers not only power conversion but also medium-voltage input, low-voltage DC output, auxiliary power, firmware, control and communication, all within the scope of the SST product.

In other words, an SST is no longer just the “transformer” component; it is a complete power electronics system comprising power semiconductors, magnetics, control systems and communication systems. To pass system-level certification, insulation, efficiency, power density and thermal management must all meet the requirements simultaneously, rather than passing part by part.

Certification Dimension

Standards Indicators Involved

US Safety Standards UL 2877

EU Safety Standards IEC/EN 62477-1, IEC/EN 62477-2

Key Component 2 PfG 3175, 2 PfG 3179 (high-frequency isolation transformer,

13.8kV reinforced insulation)

EMC EN 61000-6-2, EN 61000-6-4, FCC Part 15

Certification Marks TÜV Rheinland certification mark, cTUVus, EMC certificates

The European and American markets are particularly strict on this point – UL and cTUVus on the US side, and the IEC/EN series on the European side. For entry into European and American data center procurement lists, system-level dual certification is close to a hard threshold. By securing both at once, the EnerNeo can now compete on equal footing with overseas players such as Delta, Eaton and Vertiv in terms of certification compliance.

800V DC: NVIDIA Sets the Course, Sungrow Delivers First

Why focus on 800V DC? The answer lies in power density.

The white paper “800VDC Architecture for Next-Generation AI Infrastructure”, released by NVIDIA at last October’s OCP Global Summit, has established 800V DC as the standard power architecture for next-generation AI infrastructure, with the SST positioned as the ultimate power supply device in the medium to long term. Sungrow’s 800V solution is also listed in the white paper as a recommended technology route.

The traditional data center power chain is: AC from the grid → step-down via a power-frequency transformer → multi-stage UPS/AC-DC conversion → server racks. Each stage incurs losses, with end-to-end efficiency of about 90%–92%. For megawatt-class racks, hundred-megawatt buildings and gigawatt-scale campuses, these few percentage points of loss translate into enormous electricity bills and thermal loads.

What the EnerNeo does is convert 10–13.8kV medium-voltage AC directly to 800V DC, using SiC power devices and an optimized series-connected H-bridge architecture, eliminating the power-frequency transformer and multi-stage conversion. Published parameters: 98.5% efficiency, 99.999% availability, 312 kW/m² power density, zero partial discharge at rack level (within 21kV), meeting the 42kV power-frequency withstand voltage and 95kV lightning impulse indicators.

According to Sungrow’s own calculation, for a 1GW computing project, the 800V DC architecture can save 400 million kWh of electricity per year. In terms of efficiency difference, 98.5% versus the 90%–92% of the full chain leaves a gap of 6–8 percentage points – no small figure at gigawatt scale.

The EnerNeo SST system and the TÜV Rheinland certificates

Evolution of the power architecture for AI supernode full racks: single-rack power leaps from the 100kW class to the megawatt class, making 800V HVDC an inevitable choice.

The Cost Calculus: SST and Traditional Solutions Are Now on the Same Level

Technology, however good, must pass the cost test. The most-cited criticism of the SST used to be its price; that anchor is now beginning to shift.

In August 2026, the SST procurement budget for the data center of the “Zhiyun Changjingkai” platform was RMB 2 million for 2.5MW of capacity, equivalent to a budgeted unit price of about RMB 0.8/W. In the same year, China Mobile Jiangsu purchased four sets of 2500kVA medium-voltage integrated power systems for its Nanjing Jiangbei Data Center at a winning price of about RMB 1.77 million per set excluding tax, or about RMB 2 million including 13% VAT. 2500kVA is AC apparent power; with the data center load power factor close to 1, the two can be compared at similar capacity levels.

Comparison Item SST Solution Traditional Medium-Voltage Integrated Power

Project Sample Zhiyun Changjingkai 2.5MW SST China Mobile Jiangsu 2500kVA integrated power

Procurement Budget / About RMB 2 million (budget) About RMB 2 million per set (incl. 13% VAT)

Winning Price

Unit Price About RMB 0.8/W About RMB 0.8/W (equivalent at similar capacity)

Capacity Class 2.5MW 2500kVA(≈2.5MW, power factor close to 1)

The comparison is noteworthy: the procurement budget of a 2.5MW-class SST is broadly on par with the winning price of a comparable 2500kVA integrated power system. Once costs reach the same level, the advantages in efficiency, footprint and response speed become decisive factors in procurement decisions.

Certification Is a Ticket, Not the Destination

Back to the OCP Summit. Experts from Google, Microsoft and NVIDIA stood in the audience as Zhang Di received the certificates – a scene carrying more information than the certificates themselves: the core initiators of the OCP SST working group are casting a vote of confidence in a Chinese manufacturer’s technology route.

But this vote is only an entry ticket. The industry is still in the stage of small-batch delivery and customer site validation. Between “certification passed” and “large-scale commercialization” lie multiple tests: engineering reliability, O&M systems, supply chain responsiveness, and acceptance by financing and insurance institutions.

What deserves even closer observation is whether Sungrow Source Intelligence can secure its first large-scale order in Europe and America after obtaining dual-standard certification. Eaton and Delta still hold first-mover advantages in overseas data center O&M and brand recognition; the next challenge for Chinese manufacturers is not laboratory parameters, but the long-term trust of overseas customers.

Two Japan AI Compute Deals in One Day: Osaka's KIX15 Breaks Ground, Tokyo's TOK1 Adds USD 1 Billion

On October 7, Japan's AI compute market saw two investments land in a single day: MC Digital Realty started construction of the KIX15 data center in Osaka, and AirTrunk added USD 1 billion to the TOK1 campus east of Tokyo for liquid cooling deployment. The two projects differ in scale and route, yet both treat liquid cooling as the foundational solution for high-density AI workloads. Energy storage is becoming part of the supporting infrastructure of AIDC.

1. KIX15: Liquid Cooling Reserved at the Design Stage of a New Campus

On October 7, MC Digital Realty, a 50/50 joint venture between Digital Realty and Mitsubishi Corporation, officially started construction of the KIX15 data center at its KIX campus in Ibaraki City, Osaka Prefecture. With an IT capacity of 24 MW, the project is scheduled for commissioning in Q4 2028. As the fifth data center at the KIX campus, KIX15 will bring the joint venture's data centers operating in Japan to ten, with a combined IT capacity of about 220 MW. The project adopts a hybrid air- and liquid-cooling scheme, with liquid cooling reserved at the design stage to accommodate mid- and long-term AI compute expansion. Included in the "Kansai AI Infrastructure Co-Creation Project", it serves hyperscale cloud providers, cloud service providers, and enterprises building their own AI compute capacity. With relatively ample land and power resources, the Kansai region has become the main landing point for foreign capital building compute clusters in western Japan.

2. TOK1: Liquid Cooling Retrofit for an Existing Hyperscale Campus

On the same day, AirTrunk, backed by Blackstone, announced an additional investment of USD 1 billion in its TOK1 campus in Inzai City, Chiba Prefecture, to deploy liquid cooling systems supporting high-density AI compute loads. TOK1 has a total capacity of more than 300 MW. The investment is matched by a USD 1 billion green loan led by Sumitomo Mitsui Banking Corporation, MUFG Bank, and United Overseas Bank. AirTrunk CEO Robin Khuda said TOK1 aims to become Japan's first large-scale AI compute campus; driven by geopolitical factors, a growing number of North Asian customers are choosing to locate their compute capacity in Japan.

3. Two Construction Routes, One Shared Signal

The two projects represent two approaches to building compute capacity in Japan. KIX15 is a greenfield campus with liquid cooling reserved from the design stage for long-term expansion; TOK1 is a retrofit of an existing campus, where liquid cooling upgrades will convert data halls originally serving general cloud business into AIDC, putting built assets to use and shortening the time to service. Different routes, one shared signal: as rack power density keeps rising, traditional air cooling can no longer support large-scale GPU clusters, and liquid cooling is shifting from an optional extra to a threshold requirement for high-density AIDC.

4. Japan as a North Asian Compute Node: Opportunities and Constraints

Japan is fast becoming an important alternative node for compute in North Asia. In the past, overseas cloud providers and compute service providers expanding in Asia preferred Singapore and Malaysia; today, geopolitics, compliance, and low seismic risk are steadily raising Japan's appeal. But the flip side of capital inflows is real constraint: Japan faces its own pressures on power supply, energy consumption approvals, and land costs. New AI compute projects generally need more than two years of construction; when this batch of projects comes online around 2028, the market's supply-demand landscape will change markedly.

5. CNESA Observation: Beyond Cooling, Power Supply and Backup Needs Rise in Tandem

Liquid cooling addresses thermal management, but high-density AI data halls are raising requirements for power supply reliability, emergency backup, and green power support at the same time, needs that energy storage is positioned to serve. UPS-integrated storage, data center backup power, and battery energy storage systems that participate in grid regulation are gradually becoming part of the supporting infrastructure of AIDC; with power supply tight in Japan, the urgency is even greater. For China's industries, both the liquid cooling and energy storage supply chains stand to win follow-on orders from the wave of overseas compute construction.

LG Electronics Wins 5 GW Chiller Framework Deal in North America: Data Center Cooling Enters Full-Chain Competition

On October 5, LG Electronics announced a long-term chiller supply framework agreement with North American infrastructure platform AIR Control Concepts, covering large AI data center projects in the United States and Canada with a combined capacity of more than 5 GW. This is not a single-site equipment order but a supply arrangement spanning multiple projects and multiple years. The China Energy Storage Alliance (CNESA) notes that rapid GPU power iterations are turning data center cooling from a supporting function into a capacity constraint for AI infrastructure, and thermal management and energy storage are rising in tandem within AIDC infrastructure.

1. What 5 GW Means

Measured against the 50-100 MW IT loads of medium-sized AI data centers in China, 5 GW equates to the cooling capacity of fifty to sixty, or even over a hundred, medium-sized data halls, close to the cooling volume of a core-city compute cluster. The partner, AIR Control Concepts, is a North American infrastructure platform spanning HVAC, electrical, and controls businesses, integrating more than 50 operating companies and over 3,500 technical staff, with long-standing involvement in North America's core data center clusters and top-tier global operators among its customers. A long-term framework agreement with such a platform marks the formal entry of LG chillers into North America's mainstream AI data center supply chain. The order momentum is backed by figures: in the first half of 2026, LG's data center cooling solution orders reached USD 428 million, and the company expects total orders for the year to reach the "billions of dollars" level; the earlier target of KRW 1 trillion (about USD 680 million) in chiller revenue for 2027 is likely to be met ahead of schedule at the current pace.

2. Where the Heat Comes From: Chip Power Pushes Air Cooling to Its Limit

The North American data center cooling market is about USD 9.35 billion in 2026, close to 40% of the global total; within it, the AI thermal management segment is growing at a compound annual rate of about 22%, among the fastest in the data center industry. The root cause is chip power: a single Blackwell-architecture GPU now has a thermal design power (TDP) of 1,000 W, and the next generation could approach 1,400 W. Once rack power density exceeds 200 kW, traditional air cooling can no longer hold, and liquid cooling moves from an option to a must. For liquid cooling to scale, retrofitting campus chiller plants is an unavoidable prerequisite: of the roughly USD 725 billion in combined 2026 capital expenditure by the four major North American cloud providers, about 75% is going to AI infrastructure, and cooling is a hard requirement within it. The division of labor is clear: chillers are the campus-level source of cooling, producing chilled water and ultimately rejecting heat outdoors, while CDUs (coolant distribution units) are the rack-level hub, connecting the chiller's chilled-water loop on one side and server cold plates on the other, precisely controlling the temperature, pressure, and flow of the coolant on the chip side.

3. LG's Three Steps

First, aligning with chipmakers' standards. This year, LG's 600 kW, 1 MW, and 2.6 MW CDUs successively passed NVIDIA infrastructure qualification, and the 2.6 MW CDU entered the first batch of the NVIDIA DSX Ready list, effectively NVIDIA's official entry threshold for AI factory infrastructure, granting seamless integration with NVIDIA compute cluster reference architectures. Verification of the 4 MW CDU is underway, and LG has also become a preferred partner for NVIDIA power and cooling solutions.

Second, moving capacity forward. On October 1, LG announced a new chiller and CDU production base in Virginia, USA, alongside capacity expansion at its Changwon and Pyeongtaek plants in Korea, forming a three-base layout across the US and Korea to shorten delivery cycles for North American projects and meet local supply chain requirements.

Third, expanding its footprint. Beyond North America, data center cooling projects in the Middle East and Indonesia are advancing in parallel; drawing on synergies across the group's electronics, HVAC, and energy divisions, LG aims to move from a single-product supplier to an end-to-end data center thermal management solution provider.

4. The Logic of the Cooling Business Has Changed: From Support to Capacity (CNESA Observation)

A few years ago, data center cooling was a supporting business where vendors competed on energy efficiency ratio, price, and delivery time. That logic is being rewritten: whether a vendor can keep pace with GPU power iterations, align with chipmakers' standards, and withstand heat densities of several hundred kilowatts per rack is now the ticket to entry. Customers no longer ask for single products but for complete solutions from chip cold plates to campus chiller plants, making full-chain integration the dividing line. Notably, LG appears in both the energy storage and CDU columns of the NVIDIA DSX Ready partner list: power supply and cooling are equally hard requirements for high-density AIDC, and cooling and energy storage are both becoming capacity constraints in AI infrastructure. Only vendors whose capacity and service networks span the global market can capture this wave of demand.

How to Sell Energy Storage Systems into AIDC? Understand the White, Gray, and Black Zones First

Demand for energy storage in AIDC (AI data centers) is shifting from “whether to install” to “where to install it and what problem it solves.”

At the roundtable “Storage-Computing Convergence: Technical and Commercial Practices of Power-Computing Coordination for Data Centers in the Era of Large Models” at the recently held 11th Western Energy Storage Forum, front-line speakers from data center operators and energy storage companies pointed out that, from the campus-level energy foundation to the rack side close to GPUs, different time scales correspond to completely different storage technology routes, and no single product fits all scenarios.

The forum was hosted by the China Energy Research Society, Lanzhou University, and the China Energy Storage Alliance (CNESA). Tang Liang, Deputy Secretary-General of CNESA, moderated the dialogue, joined by Chen Shengjun, Senior Vice President of Chindata Group; Qi Yebai, Senior Vice President and Head of Energy Planning of VNET Group; Ma Jiaxin, Director of Energy Storage Solutions of Shuangdeng Group; and Zhang Kexin, Senior Manager of Policy Research of HyperStrong.

Value Ranking of Energy Storage in AIDC

Deploying energy storage in AIDC must follow the basic logic of “demand driving technology and product selection.” In other words, storage at different levels must first answer what the user’s real pain points are, rather than discussing how much revenue it can bring.

Chen Shengjun, Senior Vice President of Chindata Group, divides the value of energy storage into four levels.

The first is CAPEX (capital expenditure) — whether upfront development and O&M costs can be reduced. If a suitable storage and power supply scheme can cut related capital input, its value first shows at the initial investment stage.

The second is avoiding SLA penalties. For critical business, the value of a stable power supply far exceeds electricity price differentials. Once supply continuity is affected, penalties faced by a data center can reach hundreds of millions of yuan.

The third is reducing OPEX (operating expenditure), including daily operating costs such as electricity bills.

Only the fourth is the additional revenue gained from deploying storage. Chen stressed that simply emphasizing “how much money storage can make for me” is not the first concern of data center owners.

Qi Yebai, Senior Vice President and Head of Energy Planning of VNET Group, also said that the necessity of storage entering AIDC can be summarized in two points: first, making a real contribution to the power supply by providing power support, instantaneous supply, and reliability assurance; second, gaining verified economics. At present, however, the electricity costs saved by storage through peak-valley arbitrage and demand management account for at most 5%–10% of total OPEX — a value mismatch compared with the hundreds of billions of yuan of computing assets that need protection. The value of storage should therefore be measured not by “how much electricity was saved” but by “how much assets were safeguarded.”

Technology Routes of AIDC Energy Storage

For AIDC loads, the core of storage technology routes lies not in one battery type covering everything, but in matching capabilities across different zones and time scales. Chen Shengjun summarizes this as differentiated configuration across the white zone, gray zone, and black zone.

White Zone: Second- and Millisecond-Level Response to Power Transients

The “white zone” refers to the computer room area housing IT equipment — where server cabinets actually compute and power is directly supplied to computing — and also to the low-voltage supply area from inside the cabinet down to the chip level (generally within 48V). It is where power consumption of the entire data center is most concentrated and most volatile. During AI training, GPU load can jump from idle to full load within milliseconds, easily causing voltage sag or false triggering of overload protection.

The “white zone” therefore emphasizes power-type storage with second- or even millisecond-level response, aiming mainly to stabilize power fluctuations, suppress peaks, and reduce demand charges. To meet this need, technologies such as capacitors, supercapacitors, and high-rate lithium batteries in BBUs are more targeted.

Gray Zone: Minutes to Hours, Driving SST and High-Rate Battery Demand

The “gray zone” refers to the area housing back-end infrastructure such as electrical and mechanical equipment, providing power supply, cooling, and other supporting functions. As cabinet power density rises, supply voltage is being upgraded from traditional AC to 800V or even higher-voltage DC to reduce line losses. SST (solid-state transformer) is seen as the key technology for gray-zone transformation: it can step down voltage directly from the high-voltage grid and output high-voltage DC matching the cabinets, simplifying the gray-zone structure and achieving AC/DC compatibility.

Compared with the white zone, the gray zone operates on longer time scales, typically from minutes up to an hour. Lead-acid batteries in traditional UPS will not be fully replaced in the short term, but options such as sodium-ion, high-rate LFP, and supercapacitors are entering retrofits and comparisons. For scenarios converting general-purpose computing rooms into intelligent computing rooms, adding high-power compensation in the gray zone is also a technology path suited to local conditions.

Black Zone: Long-Duration Storage Demand Emerges

The “black zone” refers to the connection point between the bulk grid and the behind-the-meter microgrid, covering utility access, transformers, storage, backup power, and microgrid dispatch — a critical area for ensuring supply continuity and power-computing coordination. Closer to the high-voltage side and the power source side, the black zone can also be planned in a unified way with direct green power connections. Here, long-duration storage can serve as the energy foundation and long-term backup, with demand for 6-hour, 8-hour, and even longer durations becoming evident. For scenarios combining a high share of renewables with a high share of power-electronic loads, grid-forming storage can provide regulation capability and reduce major losses from risks such as wideband oscillation.

Solution Selection for AIDC Energy Storage

Qi Yebai believes that for data centers, different technology routes suit different risk types. Meanwhile, technology routes should not be viewed statically: technology is advancing and customer awareness is changing too.

Qi also pointed out that campus-type wholesale IDC and urban retail IDC follow different logic: for the former, large customers come first and the campus is built afterwards, with customers directly setting the technical standards; for the latter, the computer room is built first and customers are found later. Since a single project of a large customer can reach hundreds of megawatts, storage solutions must be highly customized and cannot be configured along the standardized product logic of traditional utility-scale storage.

Zhang Kexin of HyperStrong noted that on the AIDC computer-room side, HyperStrong is also developing solid-state transformer (SST) products, with releases planned before the end of this year. On the energy foundation side, where wider power access and system regulation must be considered, HyperStrong proposes a “lithium-sodium synergy” approach: sodium-ion batteries handle short-duration shocks, fluctuations, and switching, while lithium-ion batteries handle longer-duration regulation and peak shaving — matching AIDC’s multi-timescale needs through a division of labor between different electrochemical systems.

Ma Jiaxin, Director of Energy Storage Solutions of Shuangdeng Group Co., Ltd., said that AIDC customers’ customization needs are completely different, with a “disruptive” impact on storage products, especially in the North American market. On one hand, cells must withstand short-duration, high-frequency, high-current discharge while also meeting long-duration operation and lifetime requirements; on the other, AIDC’s requirement for SOH (state of health) estimation accuracy may rise from the industry-common 5%–6% to 2%–3%.

Moreover, the integration of backup power and energy storage means control strategies cannot remain static: as battery capacity degrades, the system must dynamically adjust the capacity allocated to backup versus economic operation according to SOH, and thermal management strategies differ under different operating conditions. For PCS, grid-following, grid-forming, off-grid operation, and smooth switching capabilities are required.

AIDC Energy Storage Market Size

Zhang Kexin of HyperStrong looked ahead to future development models. Today’s mainstream power-computing coordination is a one-way, downstream-to-upstream demand model: computing companies demand from AIDC, and AIDC demands from the power supply. In the future it may evolve into two-way regulation between computing and power, as AIDC advances from traditional cabinet rental and server rental models into a “Token factory,” requiring more adjustable resources and giving energy storage much larger room to play.

Ma Jiaxin believes AIDC energy storage is about to enter an explosive growth period — but only after market acceptance, demonstration projects, and testing and certification of new products all run smoothly, after which development will accelerate rapidly. At the same time, overseas policy risks deserve attention: recent US bans targeting energy storage systems and related equipment will have some impact on Chinese companies entering the North American market.

Qi Yebai of VNET Group raised a neglected incremental scenario. He believes storage vendors’ thinking should not just circle between the two ends of “macro (source side)” and “micro (inside the computer room)”; in between lies a “mesoscopic” level: can Phase I and Phase II of the same customer be bridged? Can adjacent data centers be linked, using storage for DC transfer? Viewed from a broader perspective, some more differentiated value points can actually be matched. He encouraged companies to break out of inertial thinking and actively explore.

Chen Shengjun of Chindata Group stressed that next year is critical. Whether storage companies can deliver truly valuable products for data centers in 2027 will determine how large the storage market in the AIDC track can grow and how far it can go. Chen also revealed that from the end of this year into next year, new electrical architectures will be released one after another, and storage may be embedded within them.

The 15th Energy Storage International Conference and Expo (ESIE 2027) will be held on March 16–19, 2027 at the Beijing Capital International Convention and Exhibition Center. For the first time, the expo will feature an AIDC Energy Storage section, showcasing the complete AIDC storage industry chain, from high-rate cells, BBU backup power, UPS, and HVDC to solid-state transformers (SST) and complete system solutions.

China’s three major telecom operators, cloud service providers such as Tencent Cloud, third-party IDC operators such as Chindata and VNET, and leading overseas computing and cloud companies such as Amazon, Google, and Meta will gather at the event to share their on-the-ground practices in data center energy storage.

The expo will also set up an AIDC Energy Storage New Product Launch Zone, supporting companies to debut innovative products and technical solutions in the AIDC storage field. Whether entering the new AIDC storage track, launching annual innovative products, or connecting with upstream and downstream partners across the industry chain, ESIE 2027 is the industry’s key matchmaking platform.