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XIAMEN, China, Dec. 13, 2025 /PRNewswire/ -- As Long-duration Energy Storage (LDES) becomes central to overcoming renewable intermittency and enabling all-weather green power, the third HiTHIUM Eco-Day was successfully concluded under the theme of "The Awakening of Energy • The New World" on December 12. The event brought together global LDES experts, AIDC (AI Data Center) industry leaders, and partners from across the energy ecosystem. The event also marked the global launch of three major innovations: the ∞Power8 6.9MW/55.2MWh 8-hour-native solution, the ∞Cell 1300Ah, dedicated 8h LDES Cell, and the ∞Power Solutions for AI Data Center, a full-duration collaborative lithium–sodium energy storage solution.
LDES Becomes as a Strategic Enabler for All-Weather Green Power
During the opening remarks, Co-founder and CEO of HiTHIUM, Jason Wang noted the core path to shift green power from "weather-dependent" to "stable and easy to use" is energy storage, especially LDES. To advance this vision, HiTHIUM officially launched the "All-Weather Green Power • 135 Lighthouse Plan." Centered on LDES and guided by the mission of co-creating a new world of always-available green energy, the five-year initiative focuses on three action pillars—green intelligent computing, comprehensive storage deployment, and green power hubs—aiming to extend the "lighthouse light" of LDES across industries and let green energy benefit all.
Industry experts from around the world joined the discussion. Senior Analyst Alex Cipolla from Wood Mackenzie shared insights on global LDES trends, applications, and technology pathways. Zhihua Liu, Solutions Director for South China region of Eaton Power Shanghai, also shared the company's innovations in high-voltage DC and intelligent power distribution.
Three Groundbreaking Technologies Point to the Future of LDES and AI Infrastructure
As the highlight of the Eco-Day, HiTHIUM unveiled three groundbreaking technologies:
∞Power8 6.9MW/55.2MWh, the world's first 8-hour-native LDES solution, engineered for all-weather renewable smoothing, multi-hour shifting, and stable green power delivery.
∞Cell 1300Ah Dedicated 8-Hour Cell, a next-generation high-capacity cell enabling deep 8-hour cycling, 20+ years of service life, superior safety, and significantly lower LCOE.
∞Power Solutions for AI Data Center, the industry's first lithium–sodium full-duration solution combining long-duration lithium storage with high-rate sodium-ion for millisecond-level response, built to meet AIDC's dual needs for long-term stability and instantaneous power support.
AIDC in Focus: Decoding Energy Pathways and Launching the Joint Industry Bluebook
At the AIDC roundtable hosted by Board Member and Vice President of HiTHIUM, Dr. Nazar Yi, experts from telecom operators, data center companies, and industry associations, discussions were made on whether LDES is the "missing piece" in enabling zero-carbon AIDCs. Guests noted that AIDCs face increasing tension between soaring computing demand and constrained energy supply, and that lithium-based LDES is a key pathway to improving stability, lowering costs, and enabling scalable development.
The event also featured the joint release of the 2025 China AIDC Energy Storage Bluebook by HiTHIUM and leading industry organizations. The report outlines AIDC energy consumption trends, evolving BBU requirements, and the growing importance of LDES to AIDC energy constraints, providing detailed analysis from industry demand to deployment strategies.
Accelerating AI–Energy Integration and Building an Open LDES Ecosystem
In the closing remark, Founder and President of HiTHIUM, Jeff Wu highlighted that energy storage must match wind and solar not only in the lifespan but also in the cost. To achieve this goal, HiTHIUM will focus on four priorities: developing ultra-large, high-safety, long-life cells; building safer, more integrated, and more efficient systems; advancing intelligent manufacturing; and delivering fully integrated energy storage solutions.
As HiTHIUM's flagship annual event, Eco-Day reflects the company's rapid rise to the Top 2 position in global energy storage battery shipments. Looking ahead, HiTHIUM will continue to expand its technology portfolio, deepen partnership networks, and contribute to global clean energy development while shaping the future of energy storage in the AI era.
XIAMEN, China, Dec. 13, 2025 /PRNewswire/ -- As Long-duration Energy Storage (LDES) becomes central to overcoming renewable intermittency and enabling all-weather green power, the third HiTHIUM Eco-Day was successfully concluded under the theme of "The Awakening of Energy • The New World" on December 12. The event brought together global LDES experts, AIDC (AI Data Center) industry leaders, and partners from across the energy ecosystem. The event also marked the global launch of three major innovations: the ∞Power8 6.9MW/55.2MWh 8-hour-native solution, the ∞Cell 1300Ah, dedicated 8h LDES Cell, and the ∞Power Solutions for AI Data Center, a full-duration collaborative lithium–sodium energy storage solution.
LDES Becomes as a Strategic Enabler for All-Weather Green Power
During the opening remarks, Co-founder and CEO of HiTHIUM, Jason Wang noted the core path to shift green power from "weather-dependent" to "stable and easy to use" is energy storage, especially LDES. To advance this vision, HiTHIUM officially launched the "All-Weather Green Power • 135 Lighthouse Plan." Centered on LDES and guided by the mission of co-creating a new world of always-available green energy, the five-year initiative focuses on three action pillars—green intelligent computing, comprehensive storage deployment, and green power hubs—aiming to extend the "lighthouse light" of LDES across industries and let green energy benefit all.
Industry experts from around the world joined the discussion. Senior Analyst Alex Cipolla from Wood Mackenzie shared insights on global LDES trends, applications, and technology pathways. Zhihua Liu, Solutions Director for South China region of Eaton Power Shanghai, also shared the company's innovations in high-voltage DC and intelligent power distribution.
Three Groundbreaking Technologies Point to the Future of LDES and AI Infrastructure
As the highlight of the Eco-Day, HiTHIUM unveiled three groundbreaking technologies:
∞Power8 6.9MW/55.2MWh, the world's first 8-hour-native LDES solution, engineered for all-weather renewable smoothing, multi-hour shifting, and stable green power delivery.
∞Cell 1300Ah Dedicated 8-Hour Cell, a next-generation high-capacity cell enabling deep 8-hour cycling, 20+ years of service life, superior safety, and significantly lower LCOE.
∞Power Solutions for AI Data Center, the industry's first lithium–sodium full-duration solution combining long-duration lithium storage with high-rate sodium-ion for millisecond-level response, built to meet AIDC's dual needs for long-term stability and instantaneous power support.
AIDC in Focus: Decoding Energy Pathways and Launching the Joint Industry Bluebook
At the AIDC roundtable hosted by Board Member and Vice President of HiTHIUM, Dr. Nazar Yi, experts from telecom operators, data center companies, and industry associations, discussions were made on whether LDES is the "missing piece" in enabling zero-carbon AIDCs. Guests noted that AIDCs face increasing tension between soaring computing demand and constrained energy supply, and that lithium-based LDES is a key pathway to improving stability, lowering costs, and enabling scalable development.
The event also featured the joint release of the 2025 China AIDC Energy Storage Bluebook by HiTHIUM and leading industry organizations. The report outlines AIDC energy consumption trends, evolving BBU requirements, and the growing importance of LDES to AIDC energy constraints, providing detailed analysis from industry demand to deployment strategies.
Accelerating AI–Energy Integration and Building an Open LDES Ecosystem
In the closing remark, Founder and President of HiTHIUM, Jeff Wu highlighted that energy storage must match wind and solar not only in the lifespan but also in the cost. To achieve this goal, HiTHIUM will focus on four priorities: developing ultra-large, high-safety, long-life cells; building safer, more integrated, and more efficient systems; advancing intelligent manufacturing; and delivering fully integrated energy storage solutions.
As HiTHIUM's flagship annual event, Eco-Day reflects the company's rapid rise to the Top 2 position in global energy storage battery shipments. Looking ahead, HiTHIUM will continue to expand its technology portfolio, deepen partnership networks, and contribute to global clean energy development while shaping the future of energy storage in the AI era.
** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **
HiTHIUM Launches Three Breakthrough Innovations at Its Third Eco-Day, Unlocking an Intelligent Future with Long-Duration Energy Storage
SAN MATEO, Calif., Dec. 13, 2025 /PRNewswire/ -- AI infrastructure company EverMind has recently released EverMemOS, an open-source Memory Operating System designed to address one of artificial intelligence's most profound challenges: equipping machines with scalable, long-term memory.
The Memory Bottleneck
For years, large language models (LLMs) have been constrained by fixed context windows, a limitation that causes "forgetfulness" in long-term tasks. This results in broken context, factual inconsistencies, and an inability to deliver deep personalization or maintain knowledge coherence. The issue extends beyond technical hurdles; it represents an evolutionary bottleneck for AI. An entity without memory cannot exhibit behavioral consistency or initiative, let alone achieve self-evolution. Personalization, consistency, and proactivity, which are considered the hallmarks of intelligence, all depend on a robust memory system.
There is a consensus that memory is becoming the core competitive edge and defining boundary of future AI. Yet existing solutions, such as Retrieval-Augmented Generation (RAG) and fragmented memory systems, remain limited in scope, failing to support both 1-on-1 companion use cases and complex multi-agent enterprise collaboration. Few meet the standard of precision, speed, usability, and adaptability required for widespread adoption. Equipping large models with a high-performance, pluggable memory module remains a core unmet demand across AI applications.
Discoverative Intelligence
"Discoverative Intelligence" is a concept proposed in late 2025 by entrepreneur and philanthropist Chen Tianqiao. Unlike generative AI, which mimics human output by processing existing data, Discoverative Intelligence describes an advanced AI form that actively asks questions, forms testable hypotheses, and discovers new scientific principles. It prioritizes understanding causality and underlying principles over statistical patterns, a shift Chen argues is essential to achieving Artificial General Intelligence (AGI).
Chen contrasted two dominant AI development paths: the "Scaling Path," which relies on expanding parameters, data, and compute power to extrapolate within a search space, and the "Structural Path," which focuses on the "cognitive anatomy" of intelligence and how systems operate over time.
Discoverative Intelligence falls into the latter category, built on a brain-inspired model called Structured Temporal Intelligence (STI) that requires five core capabilities in a closed loop: neural dynamics (sustained, self-organizing activity to keep systems "alive"), long-term memory (storing and selectively forgetting experiences to build knowledge), causal reasoning (inferring "why" events occur), world modeling (an internal simulation of reality for prediction), and metacognition & intrinsic motivation (curiosity-driven exploration, not just external rewards).
Among these capabilities, long-term memory serves as the vital link between time and intelligence, highlighting its indispensable role in the path toward achieving true AGI.
EverMind's Answer
EverMemOS is EverMind's answer to this need: an open-source Memory Operating System designed as foundational technology for Discoverative Intelligence. Inspired by the hierarchical organization of the human memory system, EverMemOS features a four-layer architecture analogous to key brain regions: an Agentic Layer (task planning, mirroring the prefrontal cortex), a Memory Layer (long-term storage, like cortical networks), an Index Layer (associative retrieval, drawing from the hippocampus), and an API/MCP Interface Layer (external integration, serving as AI's "sensory interface").
The system delivers breakthroughs in both scenario coverage and technical performance. It is the first memory system capable of supporting both 1-on-1 conversation use cases and complex multi-agent enterprise collaboration. On technical benchmarks, EverMemOS achieved 92.3% accuracy on LoCoMo (a long-context memory evaluation) and 82% on LongMemEval-S (a suite for assessing long-term memory retention), significantly surpassing prior state-of-the-art results and setting a new industry standard.
The open-source version of EverMemOS is now available on GitHub, with a cloud service version to be launched late this year. The dual-track model, combining open collaboration with managed cloud services, aims to drive industry-wide evolution in long-term memory technology, inviting developers, enterprises, and researchers to contribute to and benefit from the system.
About EverMind
EverMind is redefining the future of AI by solving one of its most fundamental limitations: long-term memory. Its flagship platform, EverMemOS, introduces a breakthrough architecture for scalable and customizable memory systems, enabling AI to operate with extended context, maintain behavioral consistency, and improve through continuous interaction.
To learn more about EverMind and EverMemOS, please visit:
Website: https://evermind.ai/
GitHub: https://github.com/EverMind-AI/EverMemOS
X: https://x.com/EverMindAI
Reddit: https://www.reddit.com/r/EverMindAI/
** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **
AI Infrastructure Company EverMind Released EverMemOS, Responding to Profound Challenges in AI
