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Baidu Unveils Latest ERNIE Models Amid Broader Full-Stack AI Lineup, and Debuts Token Exchange to Power Intelligent Organizations

Business

Baidu Unveils Latest ERNIE Models Amid Broader Full-Stack AI Lineup, and Debuts Token Exchange to Power Intelligent Organizations
Business

Business

Baidu Unveils Latest ERNIE Models Amid Broader Full-Stack AI Lineup, and Debuts Token Exchange to Power Intelligent Organizations

2026-11-12 22:08 Last Updated At:22:25

  • Robin Li, Co-founder and CEO of Baidu, outlined his vision for the next chapter of AI, centered on the intelligent organization, and introduced three principles of organizational evolution.
  • Baidu also introduced ERNIE 5.5 Flash Preview, the latest open-weight foundation model designed for efficient inference, and two application models ERNIE Wizshot Micro-Expression and ERNIE Light Deep Thinking.
  • Baidu launched Token Exchange, a neutral, transparent, and trusted marketplace connecting model service providers to customers.
  • Baidu also upgraded its agent lineup, including digital human agent Baidu Yijing, the general-purpose agent DuMate, document and creative workspace KOOKO, and self-evolving agent Famou 3.0.
  • BEIJING, Nov. 12, 2026 /PRNewswire/ -- Baidu, Inc. (NASDAQ: BIDU and HKEX: 9888), a leading AI company with strong internet foundation, today unveiled new offerings and upgrades across its full-stack AI portfolio spanning chips, cloud, models, and agents, designed to help enterprises transform into intelligent organizations. The new lineup includes Token Exchange, a trusted marketplace for model services; upgrades to its agents DuMate, KOOKO, Baidu Yijing, and Famou; ERNIE 5.5 Flash Preview, its latest foundation model, which balances intelligence with inference efficiency; as well as the new Tianchi 1024-card Supernode and Kunlunxin roadmap.

    In his opening keynote, Robin Li, Co-founder and CEO of Baidu, described the intelligent organization as the next chapter of AI. Li explained why turning that technological progress into productivity gains means moving beyond traditional hierarchies. Just as AI needs energy to run, making full use of its capabilities requires an AI-native approach to how organizations operate. "If AI is the new electricity, then the intelligent organization is the new factory of the AI era, where productivity truly happens," Li said.

    Li also laid out three principles for how organizations should evolve. The first is to break down job boundaries. With AI now enabling one person to act in multiple roles, Li said organizations will be built around tasks rather than jobs and become a network of tasks. "Jobs won't disappear, but they will converge into roughly two types: Builders, who create new things, and Sellers, who connect with people to forge emotional bonds and earn their trust," Li said. The second is to capture tacit knowledge and turn it into a shared company asset. "This is a capability that competitors can't copy, hire away, or buy. That's what a real moat looks like." The third is to design closed-loop processes. Li put forward a formula: measurability plus looping equals continuous evolution, so that "the organization becomes a system that never stops learning and evolving."

    Early results at Baidu have already validated the three principles. Over the past year, the average number of daily active agents (DAA) inside Baidu rose from 5,000 to 37,000, an increase of more than 600%. Agents now complete more than 1 million tasks a week, up from 84,000. Baidu has also built 4,300 workspaces and captured more than 20,000 organizational skills. According to Li, by turning practical experience into reusable skills, organizations can build shared capabilities that benefit the entire workforce.

    Foundation and Application Models Advance in Parallel: ERNIE 5.5 Flash Preview, ERNIE Wizshot Micro-Expression and ERNIE Light Deep Thinking

    Baidu also released its latest-gen foundation model ERNIE 5.5 Flash Preview. With 280 billion total parameters and 14 billion parameters activated per token, the model supports a 1M context window and performs strongly in coding, 3D modeling, knowledge work, and content creation.

    ERNIE 5.5 Flash Preview balances intelligence with inference efficiency. Across multiple benchmarks, including Terminal-Bench and AutomationBench, it achieved competitive scores while maintaining extremely fast decoding speed. The model API is now available on Baidu AI Cloud's Qianfan platform, and the model weights will be open-sourced by November 25. API pricing is RMB 1 per million input tokens and RMB 4 per million output tokens, with cached input at just RMB 0.04 per million tokens. The model is also available for free on OpenRouter. ERNIE 5.5 Flash Preview is optimized with ERNIE Evolve, Baidu's proprietary recursive self-improvement (RSI) technology, to boost inference efficiency and reduce cost.

    Baidu also introduced two application models, the ERNIE Wizshot Micro-Expression model and the ERNIE Light Deep Thinking model, available via API on Baidu AI Cloud's Qianfan platform. The ERNIE Wizshot Micro-Expression specializes in highly expressive video creation. It processes text, images, and speech together and can support long-form text input of up to 4,000 Chinese characters. It leads the industry for podcasts and short animated dramas at half the typical cost. Originally developed for multimedia search, the ERNIE Light Deep Thinking is designed to handle complex requests and tool calls at search-scale speed. It pairs a fast-thinking model that serves users with a slow-thinking model that continuously refines it in a closed loop. It also incorporates Baidu Sparse Attention (BSA), a proprietary technology that compresses historical memory during decoding to reduce inference costs without compromising model performance.

    Token Exchange: A Trusted Marketplace for Model Services

    Looking at the broader market, demand for model services is growing fast. To make high-quality model services easier to find and use, Baidu launched Token Exchange, a neutral, transparent, and trusted marketplace that connects AI model providers with customers. Customers can compare model services side by side, with clear pricing and performance data, and access them in one place. Quality providers, in turn, gain a channel to access more customers. Li described it as an exchange for foundation models, where businesses and individuals can easily find, buy, and use trusted model tokens.

    Token Exchange rests on two pillars of trust: verification and credit rating. To verify each resource, it compares model fingerprints and tests capability, performance, and availability. To rate each provider, it runs regular spot checks and monitors calls end to end in real time. One month in, Token Exchange has onboarded more than 100 model resources and now handles a daily average of more than 50 million calls and over 700 billion tokens. 

    Over time, Token Exchange is expected to help put underused compute to work and make the AI and foundation model ecosystem healthier and more efficient.

    Baidu Yijing, DuMate, KOOKO, and Famou: Agent Upgrades Put the Intelligent Organization to Work

    At the event, Baidu Yijing, the hyper-realistic digital human agent, introduced short animated drama creation covering concept, script, storyboard, and final cut, turning a single idea into a finished production in one stop. With one-click localization, creators can then take their dramas to global audiences. Built on Baidu's proprietary video generation model, production costs are just RMB 0.2 per second of video.

    Baidu's general-purpose agent DuMate has been upgraded to serve as the unified gateway to Baidu's full range of specialized agents, and Baidu has fully opened its Harness engine and Agent API. Over the past quarter, DuMate became the fastest-growing general-purpose agent. The DuMate team also put the three principles of organizational evolution into practice: it has iterated more than 160 times in six months, with 90% of its code and 50% of its external communication materials generated by DuMate.

    KOOKO, the global AI-powered platform for documents and creative workflows, brings together publicly available information, professional databases, and users' own content to help research, write, and create high-quality artifacts such as research reports, slide decks, and websites. Upgraded from GenFlow 3.0, KOOKO draws on 1.8 billion professional resources from Baidu Wenku and Baidu Drive, 750 million Chinese and English academic papers, and a network of millions of experts.

    Baidu Famou, a self-evolving agent designed to address complex operational challenges across industries, has been upgraded to version 3.0. Combining an agent platform with forward-deployed engineer (FDE) services, it takes direct responsibility for continuously optimizing final business results in real production systems. Its customers now span 25 of China's 41 industrial categories.

    Cloud and Chips Strengthen the Foundation as Apollo Go Expands Globally

    At the event, Baidu AI Cloud launched the Tianchi 1024-card Supernode, an all-optical interconnect supernode built for high-speed data transmission. Kunlunxin, Baidu's AI chip business, also announced a major roadmap update: the Kunlunxin M100 inference chip has shipped as planned and delivers exceptional cost-effectiveness, while the flagship M300 is expected to ship in 2027 with a major leap in computing power, memory, and interconnection. "We believe inference will be the primary driver of sustained long-term growth in the AI chip market," Li said.

    "Embodied AI is now at a stage comparable to where autonomous driving stood in 2016," Li said. Apollo Go, Baidu's autonomous ride-hailing service, now covers 28 cities worldwide and has logged more than 350 million autonomous kilometers, including over 240 million in fully driverless mode. It has launched fully driverless commercial operations in Abu Dhabi and Dubai, and partnered with CAR Inc. in Hainan to pioneer the world's only driverless car rental model.

    Li said intelligent organizations will open three major opportunities: asset-light operations, new competitive moats, and the creation and discovery of new markets. "So now is the moment to drive the intelligent evolution of organizations," he said.

    "Baidu is ready to work with everyone to rethink, redesign, and recreate the organization," Li said. "Let us take the initiative in organizational transformation and win the future through intelligent evolution."

    About Baidu

    Founded in 2000, Baidu's mission is to make the complicated world simpler through technology. Baidu is a leading AI company with strong internet foundation, trading on the NASDAQ under "BIDU" and HKEX under "9888." One Baidu ADS represents eight Class A ordinary shares.

    Media Contact:
    intlcomm@baidu.com

BEIJING, Nov. 12, 2026 /PRNewswire/ -- Baidu, Inc. (NASDAQ: BIDU and HKEX: 9888), a leading AI company with strong internet foundation, today unveiled new offerings and upgrades across its full-stack AI portfolio spanning chips, cloud, models, and agents, designed to help enterprises transform into intelligent organizations. The new lineup includes Token Exchange, a trusted marketplace for model services; upgrades to its agents DuMate, KOOKO, Baidu Yijing, and Famou; ERNIE 5.5 Flash Preview, its latest foundation model, which balances intelligence with inference efficiency; as well as the new Tianchi 1024-card Supernode and Kunlunxin roadmap.

In his opening keynote, Robin Li, Co-founder and CEO of Baidu, described the intelligent organization as the next chapter of AI. Li explained why turning that technological progress into productivity gains means moving beyond traditional hierarchies. Just as AI needs energy to run, making full use of its capabilities requires an AI-native approach to how organizations operate. "If AI is the new electricity, then the intelligent organization is the new factory of the AI era, where productivity truly happens," Li said.

Li also laid out three principles for how organizations should evolve. The first is to break down job boundaries. With AI now enabling one person to act in multiple roles, Li said organizations will be built around tasks rather than jobs and become a network of tasks. "Jobs won't disappear, but they will converge into roughly two types: Builders, who create new things, and Sellers, who connect with people to forge emotional bonds and earn their trust," Li said. The second is to capture tacit knowledge and turn it into a shared company asset. "This is a capability that competitors can't copy, hire away, or buy. That's what a real moat looks like." The third is to design closed-loop processes. Li put forward a formula: measurability plus looping equals continuous evolution, so that "the organization becomes a system that never stops learning and evolving."

Early results at Baidu have already validated the three principles. Over the past year, the average number of daily active agents (DAA) inside Baidu rose from 5,000 to 37,000, an increase of more than 600%. Agents now complete more than 1 million tasks a week, up from 84,000. Baidu has also built 4,300 workspaces and captured more than 20,000 organizational skills. According to Li, by turning practical experience into reusable skills, organizations can build shared capabilities that benefit the entire workforce.

Foundation and Application Models Advance in Parallel: ERNIE 5.5 Flash Preview, ERNIE Wizshot Micro-Expression and ERNIE Light Deep Thinking

Baidu also released its latest-gen foundation model ERNIE 5.5 Flash Preview. With 280 billion total parameters and 14 billion parameters activated per token, the model supports a 1M context window and performs strongly in coding, 3D modeling, knowledge work, and content creation.

ERNIE 5.5 Flash Preview balances intelligence with inference efficiency. Across multiple benchmarks, including Terminal-Bench and AutomationBench, it achieved competitive scores while maintaining extremely fast decoding speed. The model API is now available on Baidu AI Cloud's Qianfan platform, and the model weights will be open-sourced by November 25. API pricing is RMB 1 per million input tokens and RMB 4 per million output tokens, with cached input at just RMB 0.04 per million tokens. The model is also available for free on OpenRouter. ERNIE 5.5 Flash Preview is optimized with ERNIE Evolve, Baidu's proprietary recursive self-improvement (RSI) technology, to boost inference efficiency and reduce cost.

Baidu also introduced two application models, the ERNIE Wizshot Micro-Expression model and the ERNIE Light Deep Thinking model, available via API on Baidu AI Cloud's Qianfan platform. The ERNIE Wizshot Micro-Expression specializes in highly expressive video creation. It processes text, images, and speech together and can support long-form text input of up to 4,000 Chinese characters. It leads the industry for podcasts and short animated dramas at half the typical cost. Originally developed for multimedia search, the ERNIE Light Deep Thinking is designed to handle complex requests and tool calls at search-scale speed. It pairs a fast-thinking model that serves users with a slow-thinking model that continuously refines it in a closed loop. It also incorporates Baidu Sparse Attention (BSA), a proprietary technology that compresses historical memory during decoding to reduce inference costs without compromising model performance.

Token Exchange: A Trusted Marketplace for Model Services

Looking at the broader market, demand for model services is growing fast. To make high-quality model services easier to find and use, Baidu launched Token Exchange, a neutral, transparent, and trusted marketplace that connects AI model providers with customers. Customers can compare model services side by side, with clear pricing and performance data, and access them in one place. Quality providers, in turn, gain a channel to access more customers. Li described it as an exchange for foundation models, where businesses and individuals can easily find, buy, and use trusted model tokens.

Token Exchange rests on two pillars of trust: verification and credit rating. To verify each resource, it compares model fingerprints and tests capability, performance, and availability. To rate each provider, it runs regular spot checks and monitors calls end to end in real time. One month in, Token Exchange has onboarded more than 100 model resources and now handles a daily average of more than 50 million calls and over 700 billion tokens. 

Over time, Token Exchange is expected to help put underused compute to work and make the AI and foundation model ecosystem healthier and more efficient.

Baidu Yijing, DuMate, KOOKO, and Famou: Agent Upgrades Put the Intelligent Organization to Work

At the event, Baidu Yijing, the hyper-realistic digital human agent, introduced short animated drama creation covering concept, script, storyboard, and final cut, turning a single idea into a finished production in one stop. With one-click localization, creators can then take their dramas to global audiences. Built on Baidu's proprietary video generation model, production costs are just RMB 0.2 per second of video.

Baidu's general-purpose agent DuMate has been upgraded to serve as the unified gateway to Baidu's full range of specialized agents, and Baidu has fully opened its Harness engine and Agent API. Over the past quarter, DuMate became the fastest-growing general-purpose agent. The DuMate team also put the three principles of organizational evolution into practice: it has iterated more than 160 times in six months, with 90% of its code and 50% of its external communication materials generated by DuMate.

KOOKO, the global AI-powered platform for documents and creative workflows, brings together publicly available information, professional databases, and users' own content to help research, write, and create high-quality artifacts such as research reports, slide decks, and websites. Upgraded from GenFlow 3.0, KOOKO draws on 1.8 billion professional resources from Baidu Wenku and Baidu Drive, 750 million Chinese and English academic papers, and a network of millions of experts.

Baidu Famou, a self-evolving agent designed to address complex operational challenges across industries, has been upgraded to version 3.0. Combining an agent platform with forward-deployed engineer (FDE) services, it takes direct responsibility for continuously optimizing final business results in real production systems. Its customers now span 25 of China's 41 industrial categories.

Cloud and Chips Strengthen the Foundation as Apollo Go Expands Globally

At the event, Baidu AI Cloud launched the Tianchi 1024-card Supernode, an all-optical interconnect supernode built for high-speed data transmission. Kunlunxin, Baidu's AI chip business, also announced a major roadmap update: the Kunlunxin M100 inference chip has shipped as planned and delivers exceptional cost-effectiveness, while the flagship M300 is expected to ship in 2027 with a major leap in computing power, memory, and interconnection. "We believe inference will be the primary driver of sustained long-term growth in the AI chip market," Li said.

"Embodied AI is now at a stage comparable to where autonomous driving stood in 2016," Li said. Apollo Go, Baidu's autonomous ride-hailing service, now covers 28 cities worldwide and has logged more than 350 million autonomous kilometers, including over 240 million in fully driverless mode. It has launched fully driverless commercial operations in Abu Dhabi and Dubai, and partnered with CAR Inc. in Hainan to pioneer the world's only driverless car rental model.

Li said intelligent organizations will open three major opportunities: asset-light operations, new competitive moats, and the creation and discovery of new markets. "So now is the moment to drive the intelligent evolution of organizations," he said.

"Baidu is ready to work with everyone to rethink, redesign, and recreate the organization," Li said. "Let us take the initiative in organizational transformation and win the future through intelligent evolution."

About Baidu

Founded in 2000, Baidu's mission is to make the complicated world simpler through technology. Baidu is a leading AI company with strong internet foundation, trading on the NASDAQ under "BIDU" and HKEX under "9888." One Baidu ADS represents eight Class A ordinary shares.

Media Contact:
intlcomm@baidu.com

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

Baidu Unveils Latest ERNIE Models Amid Broader Full-Stack AI Lineup, and Debuts Token Exchange to Power Intelligent Organizations

Baidu Unveils Latest ERNIE Models Amid Broader Full-Stack AI Lineup, and Debuts Token Exchange to Power Intelligent Organizations

Baidu Unveils Latest ERNIE Models Amid Broader Full-Stack AI Lineup, and Debuts Token Exchange to Power Intelligent Organizations

Baidu Unveils Latest ERNIE Models Amid Broader Full-Stack AI Lineup, and Debuts Token Exchange to Power Intelligent Organizations

  • Eight-LPU server system and live remote demonstration of LLM inference running on operational servers in Korea
  • Internal benchmarks show more than 3.5x higher token throughput per watt and per dollar compared with systems powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs
  • CHICAGO, Nov. 12, 2026 /PRNewswire/ -- HyperAccel, a South Korean fabless AI semiconductor company specializing in high-efficiency large language model (LLM) inference, will showcase its LPU (LLM Processing Unit) technology at SC26 (Supercomputing 2026), taking place November 17–19 at McCormick Place in Chicago. The company will present an eight-LPU server system and conduct a live remote demonstration of LLM inference running on operational servers deployed in Korea.

    At the exhibition, HyperAccel will showcase how its LPU technology operates as part of a server-level system, extending beyond individual semiconductor components to practical AI infrastructure. Through a live remote demonstration from its server environment in Korea, visitors will be able to see LLM inference running on operational hardware and gain insight into the technology's potential for deployment in enterprise and data center environments.

    According to HyperAccel's internal benchmarks, a server equipped with HyperAccel LPU cards (250W per card) delivers more than 3.5x higher token throughput per watt and per dollar than a comparable system powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs (600W per card) when running Qwen3-32B and Llama3-70B models. With support for even larger LLMs, including Kimi and GLM models, HyperAccel's LPU demonstrates the potential to significantly improve the energy efficiency and economics of LLM inference, offering a compelling solution for enterprise AI infrastructure and data centers.

    These efficiency gains stem from the HyperAccel LPU architecture, designed specifically for LLM inference. It pairs power-efficient LPDDR5X memory with HyperAccel's Streamlined Dataflow architecture, which achieves approximately 90% memory bandwidth utilization, compared with 50 to 60% for GPUs, reducing power consumption and operating costs in large-scale inference environments.

    In addition to its main exhibition, Joonyeon Kim, CFO of HyperAccel, will deliver a presentation titled "Redefining AI Infrastructure Through Token Efficiency" at Lablup Inc.'s booth (#4630) on November 18, from 2:30 p.m. to 2:45 p.m. Central Time.

    Through its participation in SC26, HyperAccel aims to expand its global presence and accelerate the adoption of LPU-based inference infrastructure. The company is seeking partnerships with global server manufacturers, cloud service providers, and AI infrastructure solution providers, focusing on server platform integration, technical validation, and business development opportunities in global data center markets.

    "As AI adoption accelerates, the industry is shifting its focus from raw processor performance to the efficiency and economics of AI inference at scale," said Joo-Young Kim, CEO of HyperAccel. "At SC26, we are excited to showcase how our purpose-built LPU architecture delivers superior token efficiency at the server level, reducing the cost and power consumption of AI inference. We also look forward to engaging with global infrastructure partners to bring more efficient and scalable AI solutions to market."

    Visitors can meet the HyperAccel team at the AI Semiconductor Korea Pavilion (Booth #1411) to learn more about its LPU technology, explore the eight-LPU server system, and watch the live remote LLM inference demonstration.

    Event Information

    • Event: SC26 (Supercomputing 2026)
    • Date: November 17–19, 2026
    • Venue: McCormick Place, Chicago, Illinois, USA
    • HyperAccel Booth: #1411, AI Semiconductor Korea Pavilion
    • Exhibition: Eight-LPU server system showcase and live remote LLM inference demonstration using operational servers in Korea
    • Presentation by Joonyeon Kim: November 18, 2:30–2:45 p.m. CT
    • Presentation Venue: Lablup Inc., Booth #4630

    About HyperAccel

    HyperAccel is a South Korean fabless AI semiconductor company founded in 2023. The company develops LPUs (LLM Processing Units), AI accelerators purpose-built for large language model inference. Its proprietary architecture leverages power-efficient LPDDR5X memory and Streamlined Dataflow technology to improve energy efficiency and cost competitiveness in AI inference.

    Its product portfolio includes Bertha, an AI accelerator for data center and enterprise applications, and Bertha-Edge, designed for on-device AI. HyperAccel is also expanding its technology into edge computing and physical AI applications.

    The company received the IEEE Micro Best Paper Award in 2025 and was named to the Forbes Asia 100 To Watch 2026 list, among other industry recognitions. Headquartered in Seoul, South Korea, with a presence in Silicon Valley, HyperAccel is pursuing expansion in global AI semiconductor markets. Learn more at www.hyperaccel.ai.

CHICAGO, Nov. 12, 2026 /PRNewswire/ -- HyperAccel, a South Korean fabless AI semiconductor company specializing in high-efficiency large language model (LLM) inference, will showcase its LPU (LLM Processing Unit) technology at SC26 (Supercomputing 2026), taking place November 17–19 at McCormick Place in Chicago. The company will present an eight-LPU server system and conduct a live remote demonstration of LLM inference running on operational servers deployed in Korea.

At the exhibition, HyperAccel will showcase how its LPU technology operates as part of a server-level system, extending beyond individual semiconductor components to practical AI infrastructure. Through a live remote demonstration from its server environment in Korea, visitors will be able to see LLM inference running on operational hardware and gain insight into the technology's potential for deployment in enterprise and data center environments.

According to HyperAccel's internal benchmarks, a server equipped with HyperAccel LPU cards (250W per card) delivers more than 3.5x higher token throughput per watt and per dollar than a comparable system powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs (600W per card) when running Qwen3-32B and Llama3-70B models. With support for even larger LLMs, including Kimi and GLM models, HyperAccel's LPU demonstrates the potential to significantly improve the energy efficiency and economics of LLM inference, offering a compelling solution for enterprise AI infrastructure and data centers.

These efficiency gains stem from the HyperAccel LPU architecture, designed specifically for LLM inference. It pairs power-efficient LPDDR5X memory with HyperAccel's Streamlined Dataflow architecture, which achieves approximately 90% memory bandwidth utilization, compared with 50 to 60% for GPUs, reducing power consumption and operating costs in large-scale inference environments.

In addition to its main exhibition, Joonyeon Kim, CFO of HyperAccel, will deliver a presentation titled "Redefining AI Infrastructure Through Token Efficiency" at Lablup Inc.'s booth (#4630) on November 18, from 2:30 p.m. to 2:45 p.m. Central Time.

Through its participation in SC26, HyperAccel aims to expand its global presence and accelerate the adoption of LPU-based inference infrastructure. The company is seeking partnerships with global server manufacturers, cloud service providers, and AI infrastructure solution providers, focusing on server platform integration, technical validation, and business development opportunities in global data center markets.

"As AI adoption accelerates, the industry is shifting its focus from raw processor performance to the efficiency and economics of AI inference at scale," said Joo-Young Kim, CEO of HyperAccel. "At SC26, we are excited to showcase how our purpose-built LPU architecture delivers superior token efficiency at the server level, reducing the cost and power consumption of AI inference. We also look forward to engaging with global infrastructure partners to bring more efficient and scalable AI solutions to market."

Visitors can meet the HyperAccel team at the AI Semiconductor Korea Pavilion (Booth #1411) to learn more about its LPU technology, explore the eight-LPU server system, and watch the live remote LLM inference demonstration.

Event Information

  • Event: SC26 (Supercomputing 2026)
  • Date: November 17–19, 2026
  • Venue: McCormick Place, Chicago, Illinois, USA
  • HyperAccel Booth: #1411, AI Semiconductor Korea Pavilion
  • Exhibition: Eight-LPU server system showcase and live remote LLM inference demonstration using operational servers in Korea
  • Presentation by Joonyeon Kim: November 18, 2:30–2:45 p.m. CT
  • Presentation Venue: Lablup Inc., Booth #4630

About HyperAccel

HyperAccel is a South Korean fabless AI semiconductor company founded in 2023. The company develops LPUs (LLM Processing Units), AI accelerators purpose-built for large language model inference. Its proprietary architecture leverages power-efficient LPDDR5X memory and Streamlined Dataflow technology to improve energy efficiency and cost competitiveness in AI inference.

Its product portfolio includes Bertha, an AI accelerator for data center and enterprise applications, and Bertha-Edge, designed for on-device AI. HyperAccel is also expanding its technology into edge computing and physical AI applications.

The company received the IEEE Micro Best Paper Award in 2025 and was named to the Forbes Asia 100 To Watch 2026 list, among other industry recognitions. Headquartered in Seoul, South Korea, with a presence in Silicon Valley, HyperAccel is pursuing expansion in global AI semiconductor markets. Learn more at www.hyperaccel.ai.

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

HyperAccel to Showcase LPU-Based AI Inference System at SC26, Highlighting Power and Cost Efficiency

HyperAccel to Showcase LPU-Based AI Inference System at SC26, Highlighting Power and Cost Efficiency

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