Technology
Global AI Arms Race Accelerates with Cutting-Edge Tech and Strategic Investments
Published
3 years agoon
By
FN Media Group Presents USA News Group News Commentary
VANCOUVER, BC, Feb. 12, 2024 /PRNewswire/ — USA News Group – The world is undergoing a massive AI revolution, that according to analysts at McKinsey Global Institute could add the equivalent of up to $4.4 trillion annually in value in the near future. With such immense potential on the line, an AI arms race is underway, several firms are establishing their positions by developing and acquiring new tech, including Avant Technologies Inc. (OTCQB:AVAI), C3.ai, Inc. (NYSE:AI), Snowflake Inc. (NYSE:SNOW), Apple Inc. (NASDAQ:AAPL), and even asset management firm Blackstone Inc. (NYSE:BX).
Along the important road towards this new technological integration, businesses trying to use AI in their products are facing big challenges. These challenges are mostly because of the high costs of computing power and a global shortage of data storage expected by 2025.
At the forefront of addressing these critical issues, Avant Technologies Inc. (OTCQB:AVAI) is emerging as a leader in advanced cloud supercomputing technologies. The company claims that its supercomputing network could become known as the world’s most powerful and cost-efficient private cloud infrastructure.
Avant recently strategically appointed Timothy Lantz, a veteran in the technology sector with extensive leadership experience, as in the roles of its new CEO and Director. Lantz brings over 20 years of successful experience in diverse business operations, including managing startups, driving growth, leading turnaround initiatives, and executing strategic financial exits.
Lantz’s shift to the CEO position comes after his initial involvement with Avant as the chief advisor for product development and market strategy, a role he took on when he first joined the company’s industry advisory board earlier this year.
“AI is already changing the world as we know it and Avant Technologies is well-positioned as a frontrunner to support what will undoubtedly be the next major evolutionary leap in human technological advancement,” said Lantz. “The opportunity ahead for Avant is immense and to fully realize its potential, we will have to be focused on delivering game-changing technology purpose-built for AI, with both speed and precision. A big part of my job is to enable Avant to bring new, innovative products to market quickly, build a ‘flawless execution’ culture, and position the company for hyper-growth.”
Avant is actively addressing the key issues of cost and performance, which are obstacles to the progress and market potential in AI, machine learning, and big data analytics. The company is dedicated to transforming these areas with its cutting-edge private cloud infrastructure, striving to boost performance and provide additional benefits in various industries. Their focused strategy involves cutting costs, improving computing density, and providing unique ESG (Environmental, Social, and Governance) benefits by significantly lowering electricity and water consumption.
“The proliferation of the AI, machine learning and big data analytics industries is already rapidly outpacing the capabilities of traditional cloud infrastructure for an industry that demands exponential computer power and storage capacity,” added Lantz. “We recognized this real unmet need and began working to develop a next generation, ultra-high-density supercomputing environment that will revolutionize the landscape for AI companies of all sizes and for any other users who require hyper-scalable, cost-effective computing power.”
Avant is dedicated to advancing AI technology and is creating a specialized computing environment specifically designed for AI applications. This environment is carefully developed to work smoothly with all major AI frameworks, enabling easy integration and efficient development workflows.
Shortly after announcing the launch of its no-code, self-service generative AI application in AWS Marketplace, C3.ai, Inc. (NYSE:AI) reported its Q2 2024 financial results where the company saw its total revenue grew 17% year-over-year.
“We saw unprecedented interest and traction in our generative AI offerings. Importantly, we are seeing a return to accelerating revenue growth as we continue our transition to a consumption-based pricing model,” said Thomas M. Siebel, CEO and Chairman of C3 AI.
It was a very active quarter for C3 AI, having closed 62 agreements including 36 pilots. Among these were deals with GSK, Indorama, and First Business Bank, and newly expanded agreements with Con Edison, Roche, Nucor Corporation, and Hewlett Packard Enterprises, along with more. The company also closed 40 agreements through its partner network, which includes AWS, Baker Hughes, Booz Allen, Google Cloud, and Microsoft—marking an increase of 75% to C3’s qualified opportunity pipeline with partners.
Data cloud company Snowflake Inc. (NYSE:SNOW) recently announced it would be enabling all users to securely tap into the power of generative AI with their enterprise data through its platform Snowflake Cortex. Shortly after, Snowflake released its financial results for Q3 2024, showing a 34% year-over-year growth in product revenue to nearly $700 million.
Continuing with that positive moment, Snowflake was awarded the #1 ranking on the 2023 Fortune Future 50 list. To compile this Future 50 list, The BCG Henderson Institute analyzed over 1,000 publicly traded companies, each with a market value of at least $20 billion or revenue of $10 billion in the 12 months up to the end of 2022. This evaluation includes 19 factors known for their predictive power of growth in the next five years. These factors are categorized into four groups: strategy, technology and investments, people, and structure.
“We are honored to be named at the top of Fortune’s Future 50 list and look forward to continuing to help customers solve their biggest problems and deliver real value using AI,” said Sridhar Ramaswamy, SVP of AI at Snowflake. “In this new AI era, generative AI and large language models will reshape how we live, work and do business.”
After being labeled as very conservative in its approach to AI, Apple Inc. (NASDAQ:AAPL) is allegedly preparing to invest $1 billion in the generative AI arms race to catch their rivals, according CNBC’s Mark Gruman. Just over a month after the news of that potential figure dropped, Apple quietly released a machine learning framework called MLX to help developers build models that run efficiently on Apple Silicon and deep learning model library MLX Data.
According to a social media post from Apple machine learning researcher Awni Hannun, MLX Data is a “framework agnostic, efficient, and flexible package for data loading. It’s based on a design inspired by existing frameworks like PyTorch, Jax, and ArrayFire, however MLX goes further by adding support for a unified memory model, which means arrays live in shared memory and operations can be performed on any of supported device types without performing data copies—a feature list that has Computer World claiming it to be “pretty good at first glance“.
Even asset management firm Blackstone Inc. (NYSE:BX) is getting into the mix by responding to exploding data-center demand that’s being fuelled by the AI arms race, by committing to developing $7 billion worth of data centers. The move is part of a new venture with Digital Realty Trust Inc. According to a report from Reuters, the venture plans to develop 10 data centers across four campuses in Frankfurt, Paris, and northern Virginia.
As per the terms of the deal, Blackstone will acquire an 80% ownership stake in the joint venture for about $700 million in initial capital contributions. Scheduled to close over two stages, the joint venture is set to become official by the end of the first half of 2024.
“By partnering with Blackstone, the world’s largest alternative asset manager, Digital Realty is better able to deliver capacity to meet the burgeoning demand of our hyperscale customers, by accessing a deep pool of likeminded private capital,” said Andy Power, the president and CEO of Digital Realty.
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Technology
Truth-seeking: the Turning Point in Zunyi
Published
26 minutes agoon
October 19, 2026By
BEIJING, Oct. 18, 2026 /PRNewswire/ — An interview from China.org.cn with Wang Xiaohui and David Ferguson on the Long March:
Wang Xiaohui:
When you march toward your ideals but encounter repeated setbacks and failures, do you have the courage to pause, reflect on the path taken, and chart a new way forward?
David Ferguson:
If I continually encountered setbacks on the road to my ideals, I would stop and reflect seriously on whether my methods need adjusted or my direction needs corrected. This is a matter of being honest with oneself and honest about one’s shortcomings. Granted, this requires as much courage as setting out in the first place — because what you have to confront is not only the judgment of others, but your own ingrained reluctance to accept that you might have got it wrong.
Wang Xiaohui:
The waters of the Xiangjiang River ran crimson in the winter of 1934.
To cover the Red Army’s main force as they crossed the river, Chen Shuxiang, then Commander of the 34th Division of the Fifth Army Corps, led his troops to fight against vastly superior enemy forces until they ran out of ammunition and supplies. Severely wounded, Chen was captured alive. On the way to the enemy camp to be paraded for merit, Chen seized a moment of the enemy’s unawareness, tore his own intestines through his abdominal wound, and died a heroic death. He was only 29 years old.
The Battle of Xiangjiang River was the deadliest campaign for the Red Army since the start of the Long March. In less than two months, their troop strength plummeted from over 86,000 to just over 30,000.
At that critical moment, doubts and discontent among officers and soldiers with the military leadership peaked.
During the fights against the previous four Kuomintang (KMT) “encirclement” campaigns, the Red Army adopted Mao Zedong’s strategy of “luring the enemy in deep.” With flexible tactics in mobile warfare, the Red Army worked miracles of defeating superior enemies time and again. Yet, the tide turned completely during the KMT’s fifth “encirclement.”
At that time, the CPC was a branch of the Communist International (Comintern). After 1927, the Comintern instructed the CPC to adopt an urban-centered path in its revolution, for it was how Russia’s October Revolution had achieved victory. Affected by this directive, during the Fifth Counter-Campaign against “Encirclement and Suppression”, Bo Gu and Otto Braun, who held actual command of the Red Army, insisted on launching offensive operations to seize major cities.
Otto Braun also mechanically applied European conventional warfare tactics, forcing the Red Army into rigid positional and fortress battles. In the Battle of Guangchang, the poorly equipped Red Army fought head-on against enemy tanks and artillery on open terrain, resulting in more than 5,000 casualties, about one-fourth of all participating troops.
Successive military defeats forced the Red Army to launch a strategic shift. However, Bo Gu and Otto Braun insisted that everything be evacuated, including heavy equipment: printing presses, currency-making machines, and arms-manufacturing facilities… When crossing the Xiangjiang River, troops were slowed down by these cumbersome supplies, and numerous soldiers even laid down their lives for protecting these assets. Chen Shuxiang and his 34th Division wrote the gravest footnote to this bloody sacrifice.
By the banks of the Xiangjiang River, the spark of hope in the eyes of the Red Army soldiers was nearly quenched by the cold water. Could the rigid foreign doctrines truly guide the Red Army and China’s revolution? What path lay ahead?
History often unfolds in paradoxes: when all hope seems lost, a historical turning point is quietly emerging.
After the Battle of Xiangjiang River, Mao firmly opposed the original plan drafted by Bo Gu and Otto Braun to march towards Hunan. Instead, he proposed to advance to Guizhou where enemy defenses were weak. There, the Red Army broke through the natural barrier of the Wujiang River, and captured Zunyi. On Jan. 15, 1935, the CPC Central Committee convened an enlarged Political Bureau meeting in an old mansion, later known to the world as the Zunyi Conference.
Inside the modest living room on the second floor, a charcoal brazier expelled the winter chill. The CPC leadership sat around a long table to review why the Red Army had fallen into passive positions since 1933. Bo Gu attributed the defeats solely to the enemy’s overwhelming strength, while other leading officials like Zhou Enlai and Zhang Wentian pinpointed flawed military command as the fundamental cause.
Mao Zedong also made a pivotal speech.
As a revolutionary forged in rural base-area practice, Mao always sought truth from real combat experience. Citing victories from the previous four counter-“encirclement” campaigns, he rebutted Bo Gu’s opinions and criticized the flawed strategies of passive defense and abandoning mobile warfare tactics. In plain, incisive language, he pointed out that “the soldiers also needed to march, eat and sleep,” and that Braun’s rigid commands were completely divorced from the realities of China’s revolutionary warfare.
Throughout the whole meeting, Bo Gu remained dejected; Braun sat near the door and lit one cigarette after another. Never had these “true Bolsheviks” faced such rigorous criticism before.
The intensive confrontation lasted three days. In the end, Mao Zedong was elected to the leadership of the Red Army and the CPC Central Committee, putting an end to the wrong guidance. This marked a life-and-death turning point in the history of the Communist Party of China.
The Zunyi Conference freed the CPC from the Comintern’s intervention, enabling the Party to independently master the destiny of China’s revolution. From then on, the Red Army turned peril into safety, and China’s revolution emerged from despair toward new life.
David Ferguson:
When faced with major setbacks, the Communist Party of China was not crushed; instead, it demonstrated the courage to confront and correct its own mistakes, thereby turning adversity into opportunity. For any ruling party, this kind of courage is exceptionally rare.
Throughout history, guided by the principle of seeking truth from facts, the Party has always corrected errors, updated systems and adjusted course. By doing so, it has guaranteed social progress. This is precisely the secret to success that has made the Party resilient and invincible.
Wang Xiaohui:
No grand undertaking advances without setbacks. Faced with obstacles and defeats, the CPC demonstrated extraordinary courage and wisdom. They sought truth from facts, corrected wrong courses, and led the revolution towards triumph.
The Zunyi Conference Spirit, embodied in firm conviction, adherence to truth, independence and self-reliance, solidarity and unity, was forged amid blood and fire. It has shaped the unique spiritual character of the CPC. In the years that followed, these timeless values continued to evolve and sustain the Party in the face of trials and challenges, endowing it with enduring vitality.
China Mosaic
http://www.china.org.cn/video/node_7230027.htm
Faith: The Spark Born by the Yudu Riverside
http://www.china.org.cn/2026-10/17/content_118737624.shtml
View original content to download multimedia:https://www.prnewswire.com/news-releases/truth-seeking-the-turning-point-in-zunyi-302912139.html
SOURCE China.org.cn
Technology
Truth-seeking: the Turning Point in Zunyi
Published
26 minutes agoon
October 19, 2026By
BEIJING, Oct. 18, 2026 /PRNewswire/ — An interview from China.org.cn with Wang Xiaohui and David Ferguson on the Long March:
Wang Xiaohui:
When you march toward your ideals but encounter repeated setbacks and failures, do you have the courage to pause, reflect on the path taken, and chart a new way forward?
David Ferguson:
If I continually encountered setbacks on the road to my ideals, I would stop and reflect seriously on whether my methods need adjusted or my direction needs corrected. This is a matter of being honest with oneself and honest about one’s shortcomings. Granted, this requires as much courage as setting out in the first place — because what you have to confront is not only the judgment of others, but your own ingrained reluctance to accept that you might have got it wrong.
Wang Xiaohui:
The waters of the Xiangjiang River ran crimson in the winter of 1934.
To cover the Red Army’s main force as they crossed the river, Chen Shuxiang, then Commander of the 34th Division of the Fifth Army Corps, led his troops to fight against vastly superior enemy forces until they ran out of ammunition and supplies. Severely wounded, Chen was captured alive. On the way to the enemy camp to be paraded for merit, Chen seized a moment of the enemy’s unawareness, tore his own intestines through his abdominal wound, and died a heroic death. He was only 29 years old.
The Battle of Xiangjiang River was the deadliest campaign for the Red Army since the start of the Long March. In less than two months, their troop strength plummeted from over 86,000 to just over 30,000.
At that critical moment, doubts and discontent among officers and soldiers with the military leadership peaked.
During the fights against the previous four Kuomintang (KMT) “encirclement” campaigns, the Red Army adopted Mao Zedong’s strategy of “luring the enemy in deep.” With flexible tactics in mobile warfare, the Red Army worked miracles of defeating superior enemies time and again. Yet, the tide turned completely during the KMT’s fifth “encirclement.”
At that time, the CPC was a branch of the Communist International (Comintern). After 1927, the Comintern instructed the CPC to adopt an urban-centered path in its revolution, for it was how Russia’s October Revolution had achieved victory. Affected by this directive, during the Fifth Counter-Campaign against “Encirclement and Suppression”, Bo Gu and Otto Braun, who held actual command of the Red Army, insisted on launching offensive operations to seize major cities.
Otto Braun also mechanically applied European conventional warfare tactics, forcing the Red Army into rigid positional and fortress battles. In the Battle of Guangchang, the poorly equipped Red Army fought head-on against enemy tanks and artillery on open terrain, resulting in more than 5,000 casualties, about one-fourth of all participating troops.
Successive military defeats forced the Red Army to launch a strategic shift. However, Bo Gu and Otto Braun insisted that everything be evacuated, including heavy equipment: printing presses, currency-making machines, and arms-manufacturing facilities… When crossing the Xiangjiang River, troops were slowed down by these cumbersome supplies, and numerous soldiers even laid down their lives for protecting these assets. Chen Shuxiang and his 34th Division wrote the gravest footnote to this bloody sacrifice.
By the banks of the Xiangjiang River, the spark of hope in the eyes of the Red Army soldiers was nearly quenched by the cold water. Could the rigid foreign doctrines truly guide the Red Army and China’s revolution? What path lay ahead?
History often unfolds in paradoxes: when all hope seems lost, a historical turning point is quietly emerging.
After the Battle of Xiangjiang River, Mao firmly opposed the original plan drafted by Bo Gu and Otto Braun to march towards Hunan. Instead, he proposed to advance to Guizhou where enemy defenses were weak. There, the Red Army broke through the natural barrier of the Wujiang River, and captured Zunyi. On Jan. 15, 1935, the CPC Central Committee convened an enlarged Political Bureau meeting in an old mansion, later known to the world as the Zunyi Conference.
Inside the modest living room on the second floor, a charcoal brazier expelled the winter chill. The CPC leadership sat around a long table to review why the Red Army had fallen into passive positions since 1933. Bo Gu attributed the defeats solely to the enemy’s overwhelming strength, while other leading officials like Zhou Enlai and Zhang Wentian pinpointed flawed military command as the fundamental cause.
Mao Zedong also made a pivotal speech.
As a revolutionary forged in rural base-area practice, Mao always sought truth from real combat experience. Citing victories from the previous four counter-“encirclement” campaigns, he rebutted Bo Gu’s opinions and criticized the flawed strategies of passive defense and abandoning mobile warfare tactics. In plain, incisive language, he pointed out that “the soldiers also needed to march, eat and sleep,” and that Braun’s rigid commands were completely divorced from the realities of China’s revolutionary warfare.
Throughout the whole meeting, Bo Gu remained dejected; Braun sat near the door and lit one cigarette after another. Never had these “true Bolsheviks” faced such rigorous criticism before.
The intensive confrontation lasted three days. In the end, Mao Zedong was elected to the leadership of the Red Army and the CPC Central Committee, putting an end to the wrong guidance. This marked a life-and-death turning point in the history of the Communist Party of China.
The Zunyi Conference freed the CPC from the Comintern’s intervention, enabling the Party to independently master the destiny of China’s revolution. From then on, the Red Army turned peril into safety, and China’s revolution emerged from despair toward new life.
David Ferguson:
When faced with major setbacks, the Communist Party of China was not crushed; instead, it demonstrated the courage to confront and correct its own mistakes, thereby turning adversity into opportunity. For any ruling party, this kind of courage is exceptionally rare.
Throughout history, guided by the principle of seeking truth from facts, the Party has always corrected errors, updated systems and adjusted course. By doing so, it has guaranteed social progress. This is precisely the secret to success that has made the Party resilient and invincible.
Wang Xiaohui:
No grand undertaking advances without setbacks. Faced with obstacles and defeats, the CPC demonstrated extraordinary courage and wisdom. They sought truth from facts, corrected wrong courses, and led the revolution towards triumph.
The Zunyi Conference Spirit, embodied in firm conviction, adherence to truth, independence and self-reliance, solidarity and unity, was forged amid blood and fire. It has shaped the unique spiritual character of the CPC. In the years that followed, these timeless values continued to evolve and sustain the Party in the face of trials and challenges, endowing it with enduring vitality.
China Mosaic
http://www.china.org.cn/video/node_7230027.htm
Faith: The Spark Born by the Yudu Riverside
http://www.china.org.cn/2026-10/17/content_118737624.shtml
View original content to download multimedia:https://www.prnewswire.com/news-releases/truth-seeking-the-turning-point-in-zunyi-302912139.html
SOURCE China.org.cn
Technology
GMIF2026: AI Inference Powers the “Token Factory” and Drives System-Level Rethinking of Memory & Storage
Published
26 minutes agoon
October 19, 2026By
SHENZHEN, China, Oct. 18, 2026 /PRNewswire/ — The 5th GMIF Innovation Summit (Global Memory Innovation Forum 2026, GMIF2026) recently concluded at the Renaissance Shenzhen Bay Hotel. Co-hosted by the Shenzhen Memory Industry Association (SMIA) and the School of Integrated Circuits at Peking University, the summit was themed “The Future Built on AI Memory and Storage.” Now in its fifth edition, GMIF has grown from a regional industry gathering into a benchmark for the global semiconductor memory ecosystem, with diversified programs including keynote sessions, an investment forum, product exhibitions, a global livestream, and a golf friendship match, all centered on the value of memory and storage in the token economy and the AI inference era.
In the opening remarks by Rixin Sun, President of Shenzhen Memory Industry Association (SMIA), GMIF’s growth over five consecutive editions was traced from its early days to today. As a platform for global exchange, GMIF is built around the memory value chain, linking wafer IDMs and players in controllers, modules, packaging and testing, equipment and materials, and end applications to promote technical exchange, supply-demand matching, and ecosystem cooperation.
President Sun noted that as AI evolves from generative to agentic, inference efficiency, data scheduling, and system coordination have become shared priorities. Collaboration across the value chain is no longer a traditional supply-demand relationship, but a deeper partnership built around workload requirements, joint product definition, and scenario validation. Looking ahead, GMIF will pursue a more specialized and differentiated format, connecting memory companies with AI compute and end-application players worldwide.
Capital Meets Technology: Memory & Storage Moves to the Center of AI Infrastructure
As AI shifts from model training to large-scale commercial inference, the token is becoming a new unit of value. Inference demands low latency, high concurrency, and sustained throughput, which places memory and storage bandwidth, capacity, and energy efficiency among the variables that shape overall system efficiency and cost.
Daniel Yen of Morgan Stanley projected that global data center capital expenditure will stay strong in the coming years, with more than half of cloud data center capex expected to go to memory & storage (excluding HBM) by 2027. Yen identified six innovation paths to overcome the “memory wall” challenge: process migration, design changes, advanced packaging, memory peripherals, PIM/CIM, and new materials.
Prof. Yimao Cai, Dean of the School of Integrated Circuits at Peking University, pointed out that HBM remains central to high-end AI compute, but yield, cost, and thermal constraints limit broader adoption. NAND-based high-bandwidth technologies such as HBF have become a major research focus because of their cost advantage, and hybrid multi-media architectures could balance performance, capacity, and cost for deploying models with hundreds of billions of parameters.
Kevin Yoon, CVP & CTO of Samsung Memory China at Samsung Electronics, described how agents are generating massive KV cache demand and driving rapid iteration of tiered storage, citing Samsung’s work on Z-NAND, PCIe Gen6 SSDs, and ultra-high-capacity data center SSDs. Maya Zhang, Senior Director of Product Marketing from Sandisk, called this the first year of the “inference boom.” As inference reaches commercial scale, AI data centers are shifting from cost centers to value and capacity centers, and the evaluation framework is moving from TCO to TVO. NAND is becoming a strategic core component of AI, and the SSD is becoming a “token battery” that greatly improves the economics of the industry through token reuse.
Solidigm and Arm focused on the evolution of system-level design. Benny Ni, GAR Sales VP at Solidigm, noted high-capacity QLC SSDs are being adopted faster, and that memory offloading has moved from an alternative to a core design paradigm for data centers, while liquid cooling has become a prerequisite for unlocking high-end storage performance. John Xavier Lionel, Head of Global Storage Business at Arm, shared competition in the AI era is shifting from simply chasing higher TOPS to building a more efficient system balance among compute, memory, storage, and data movement. Arm’s cloud-edge-device continuum framework balances power, capacity, bandwidth, latency, security, and cost constraints at each tier, so that “the right AI workload runs in the right place.”
Moving from the cloud to the edge, Stanley Huang, AVP of Silicon Motion, stressed that devices are the ultimate carrier of AI experiences and that intelligent storage directly determines real-world device performance. Its PerformaShape technology allocates resources flexibly across different agents and greatly improves read/write consistency.
Sam Sun, Chairman of BIWIN, explained that large-scale AI inference is extending memory demand from data centers to the edge and endpoints, where differing needs in capacity, performance, power, size, and reliability are pushing storage from general-purpose specifications toward deep matching with specific scenarios and platforms. Drawing on full-stack capabilities from media selection and controller and firmware development to advanced packaging, testing, and volume delivery, BIWIN works closely with customers, platforms, and chip makers to tailor products to each use case, shortening development and validation cycles and improving system space, energy efficiency, and performance.
Token Factories Move Enterprise AI from Pilot to Production
As the token becomes the core unit of value, producing tokens efficiently and at low cost has become a shared challenge for enterprise AI adoption worldwide, and the “token factory” is emerging as a new industry paradigm. Tao Zhou, General Manager of the Server Division of Lenovo ISG China, said 80% of enterprises have deployed at least one type of agent, yet fewer than 40% of projects can scale and deliver positive ROI. Lenovo has built a full-stack “token factory” paradigm spanning data governance, compute optimization, and security management to address this.
A solid token factory depends on underlying storage media and architecture. Numbers Law’s PMD (Parallel Magnetic Drive) technology and NEXWISE‘s “KuberCloud” token factory solution contributed to full-stack capability from hardware to compute scheduling and model operations. Infplane, Maxio, and Genstoraige lowered the deployment threshold for large on-device models through AI SSD tiered offloading and memory expansion.
Real-world applications are also deepening. SYNCORE has achieved vehicle-cloud embodied intelligence across the whole vehicle. Dify, with its private agent architecture, and Paratera, with its MaaS compute service platform, are moving AI from basic compute supply toward deeper industry intelligence services, accelerating the industrialization of AI.
40 Companies Showcase the Core of the AI Memory & Storage Chain
The concurrent exhibition brought together 40 companies across the full value chain, from memory chips and controllers to compute servers, AIDC services, packaging and testing equipment, and system applications, presenting the latest advances in AI memory and storage from around the world.
Memory IDMs and controller makers led with new products. SanDisk featured its iNAND AT EU752 automotive UFS 4.1, SN861 enterprise NVMe SSD, and BiCS8 QLC NAND. Silicon Motion introduced the SM8466 PCIe Gen6 16-channel controller and the SM2524XT controller for edge SSDs. Maxio, YEESTOR, and other Chinese controller makers showed flagship PCIe Gen4/Gen5 and UFS controllers with enhanced LDPC, a sign that China’s controller portfolio is taking shape and benchmarking itself against leading international standards.
Compute and token factory solutions were another highlight. Lenovo exhibited its WenTian series of AI training-and-inference integrated servers. NEXWISE presented its full-stack token factory hardware and software, with heterogeneous compute management and token-based billing. Paratera showed its intelligent compute cloud and supercomputing cloud services, and Numbers Law demonstrated its PMD (Parallel Magnetic Drive) technology, aimed at sharply raising HDD IOPS and throughput. Infplane, Genstoraige, and Quanxing introduced KV cache offload and memory-fusion AI SSD solutions that use storage to share the compute load and significantly cut deployment costs.
Module makers and full-scenario solution providers brought a wide range of products. BIWIN exhibited enterprise SSDs, CXL products, wide-temperature industrial storage, and embedded products spanning AI cloud, edge, and device. KingSpec, POWEV, Topdisk, Barycn, Jielong Storage, HIKSEMI, and others presented industrial-grade, automotive-grade, server, and embedded product families, demonstrating strong volume production and reliable delivery.
Equipment, testing, and materials suppliers rounded out the floor. Attach Point, MICROVIEW, and Maxwell Technologies showed die attach and bonding equipment for 2.5D/3D advanced packaging. OKN Technology, Acroview Technology, Hongjingwei, and Tytantest introduced test and burn-in systems covering SSD, DRAM, and NAND that can accurately reproduce high-load AI I/O scenarios. Hemei Jingyi and Silergy brought storage IC package substrates and dedicated power management ICs. From advanced packaging equipment to test validation to core components, this supporting ecosystem lays the manufacturing foundation for volume production of AI memory and storage and for Chinese suppliers expanding overseas.
GMIF2026 Annual Awards Unveiled: Global Memory & Storage Leaders Build an Open, Collaborative Ecosystem
To recognize companies that have made outstanding contributions to the memory and storage value chain, the summit established the GMIF2026 Annual Awards, which cover memory, compute, packaging and testing equipment, test systems, and end applications across AI infrastructure, and were judged on technological innovation, industry contribution, market service, and real-world results.
Honorees, including Samsung Semiconductor, SanDisk, Solidigm, CXMT, Arm, Lenovo, Dify, Silicon Motion, Infplane, Genstoraige, Numbers Law, Paratera, SYNCORE, NEXWISE, Maxio Technology, BIWIN, Topdisk, KingSpec, POWEV, Quanxing Technology, OKN Technology, Attach Point, COMIX, Barycn, LKAUTO, Maxwell Technologies, Hemei Jingyi, Silergy, Heyan Technology, ExTripod Electronics, UNIMOS, GBAT, and Tytantest, were recognized for standout achievements in technology breakthroughs, product deployment, ecosystem building, and the industry chain.
Global Livestream and Golf Friendship Match Extend the Boundaries of Industry Cooperation
To join the global ecosystem and expand international cooperation, the summit featured a special Global Livestream by Memory Brands on LinkedIn, Facebook, and YouTube. Eight brands presented online: BIWIN, Silicon Motion, Quanxing Technology, OKN Technology, KingSpec, Maxwell Technologies, ExTripod Electronics, and Silergy. They gave overseas audiences a direct look at China’s latest advances in memory chips, advanced packaging, test systems, and other core AI infrastructure components, connecting technology standards, supply chain resources, and market demand across regions.
The momentum carried into the next day. The GMIF2026 “BIWIN Cup” golf friendship match, exclusively sponsored by BIWIN, brought senior executives from across the global memory value chain to the course. After a day of intensive discussion at the main forum, the setting was more relaxed, but the conversations among technology, capital, and markets carried on, helping speed practical cooperation across borders and sectors.
Conclusion
Across the GMIF program, one message stood out: global AI competition is moving beyond the “single-point era” of peak GPU performance into a “system-level era” that integrates storage, compute, networking, and software. In the token economy, memory and storage is shedding its auxiliary role and becoming the strategic foundation of AI inference.
This edition of GMIF brought together capital outlook, frontier technology, product innovation, real-world practice, and ecosystem collaboration, and, with the awards, livestream, and networking events, carried the conversation from ideas to product showcases, overseas exposure, and business deals. Going forward, GMIF will stay focused on the industry’s frontier issues and connect key players across the global memory value chain, promoting joint standards, technology development, and market expansion to open a new chapter for the AI memory and storage industry.
About GMIF
Global Memory Innovation Forum (GMIF) is a premier annual gathering that connects the global memory and storage community. Featuring diverse activities including keynote speeches, roundtable dialogues, supply-demand match-making, product showcases, industry rankings, awards programs, and global livestreaming, GMIF brings together key enterprises across the memory and storage chain, technical experts, terminal companies and investment institutions to exchange insights, build partnerships, and create business opportunities. Learn more about GMIF, please visit https://www.gmif.com.cn/. Follow us on LinkedIn, YouTube and Facebook.
Media Contact:
Carina Gu, wenjing.gu@gmif.com.cn
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SOURCE Shenzhen Memory Industry Association (SMIA)
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