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Alibaba Announces Comprehensive Full-Stack AI Upgrade for the Agentic Era
Qwen3.7-Max, upgraded cloud infrastructure and model services, and new T-Head chips announced at Alibaba Cloud Summit
Unveiled at the Alibaba Cloud Summit, Qwen3.7-Max is Alibaba’s latest large language model, engineered for advanced agentic coding, complex reasoning, and long-horizon task execution. Qwen3.7-Max will be available soon for developers and enterprises worldwide.
To address surging compute and AI workload demands in the agentic era, Alibaba Cloud has also upgraded its infrastructure and model services. Key launches include the Panjiu AL128 Supernode Server, designed to empower scalable agent inference and large-scale model training, and an optimization update within Alibaba’s model service platform that continuously refines model performance.
Additionally, T-Head, Alibaba’s semiconductor design subsidiary, introduced the Zhenwu M890, its latest AI training and inference processor, featuring high-capacity memory, robust inter-chip bandwidth, and native FP4 precision support.
Qwen 3.7-Max: A Versatile Foundation Model for the Agent Era
Designed as a robust foundation for AI agents, Qwen 3.7-Max seamlessly handles code generation and debugging, office workflow automation, and complex multi-step tasks requiring hundreds or thousands of actions.
The model delivers exceptional agent capabilities across diverse domains. As a frontier-level coding assistant, it supports coding tasks from rapid frontend prototyping to complex, multi-file software engineering. To enhance office work productivity, it reliably orchestrates multi-agent workflows to tackle sophisticated operations. Notably, Qwen 3.7-Max can autonomously execute long-horizon agentic tasks—sustaining continuous operation for up to 35 hours and managing over 1,000 tool calls without performance degradation.
Deeply optimized for leading agent frameworks including OpenClaw, Hermes Agent, Claude Code, Qwen Paw and Qoder, it serves as a reliable backbone for different agent systems. The model achieves top-tier results across major benchmarks in coding, general-purpose agents, general capabilities and multilingualism, making it competitive with leading frontier models. It will be soon accessible through Alibaba’s model service platform Model Studio for global developers.
Next-Generation Intelligent Computing and Enhanced Model Services
To empower scalable AI Agent inference and large-scale model training, Alibaba Cloud has launched the Panjiu AL128 Supernode Server, powered by the Zhenwu M890 AI processor and ICN Switch 1.0 networking chip. By tightly integrating 128 AI accelerators within a single rack, the system delivers single-rack bandwidth at the petabyte-per second (PB/s) scale, dramatically improving the handling of large-scale concurrent requests from agents.
The Panjiu AL128 is now available on Model Studio for the China market (or “Bailian”), enabling Chinese enterprises to efficiently address training and inference demands across sectors.
To optimize performance, Bailian has introduced Agentic RL, a reinforcement learning mechanism powered by agent execution feedback, to drive continuous model iteration. Bailian also features built-in safety governance capabilities, ensuring that autonomously operating agents always remain within defined boundaries.
T-Head’s Latest Chips and Software Stack for AI Training and Inferencing
T-Head’s latest AI accelerator, the Zhenwu M890, delivers three times the performance of its predecessor Zhenwu 810E. Zhenwu M890 features 144 gigabytes (GB) of GPU memory and 800 GB per second of inter-chip bandwidth. The chip natively supports multiple data precision formats, ranging from FP32 (32-bit floating-point) down to FP4 (4-bit floating-point), supporting both high-precision model training and ultra-low-precision model inference. These capabilities make it exceptionally well-suited for complex agentic AI workloads, which demand extensive working memory for context retention, high-speed communication for multi-agent coordination, and low-precision computing to maintain rapid execution while reducing cost. The chip is built on T-Head’s proprietary parallel computing architecture and utilizes its custom ICN (Inter-Chip Network) interconnect protocol.
Alongside the accelerator, T-Head unveiled the ICN Switch 1.0, a dedicated switching chip designed to create high-bandwidth, low-latency scale-up networks for compute clusters. It delivers up to 25.6 Tbps of aggregate bandwidth and achieves extreme low latencyand congestion-free communication. By pairing the Zhenwu M890 with the ICN Switch 1.0 chip, it enables full-bandwidth interconnection across 64 accelerators, significantly boosting the computational efficiency and stability of large-scale intelligent computing. T-Head also unveiled its proprietary software stack, T-Head SAIL™, to unleash the full computational potential for its chips.
T-Head has achieved widespread industrial adoption of its proprietary AI chips, with over 560,000 Zhenwu units delivered to date. More than 400 external customers across 20 industries, including leading automakers and financial services companies, have deployed the chips to power intelligent operations.
Hashtag: #Alibaba
The issuer is solely responsible for the content of this announcement.
About Alibaba Group
Alibaba Group is a global technology company focused on e-commerce and cloud computing. We enable merchants, brands and retailers to market, sell and engage with consumers by providing digital and logistics infrastructure, efficiency tools and vast marketing reach. We empower enterprises with our leading cloud infrastructure, services and work collaboration capabilities to facilitate their digital transformation and grow their businesses.
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OOm Institute Calls for AI Fluency to Close Human Critical Thinking Gap
The rapid adoption of AI tools without sufficient verification, contextual understanding, or critical oversight is contributing to a growing “Human Critical Thinking Gap”.
Recent research from Professors Rick Dakan and Joseph Feller also corroborates this; only 8.7% of participants consistently verified high-stakes AI-generated claims before accepting them.
Beyond the Prompt: The Human-Centric Shift
While prompt engineering remains a foundational skill for today’s workforce, OOm Institute suggests the discipline must evolve beyond simple input mechanics.
“We are entering a false competence trap,” says Ian Cheow, CEO at OOm Institute. “People are learning how to prompt, but they aren’t learning how to make the right decisions. If you cannot spot when an AI’s logic fails, you aren’t using a tool, you are delegating your intelligence.”
The Warning: If You Let AI Think for You, You “De-skill”
Professionals who rely heavily on AI without developing critical evaluation skills risk “de-skilling”, where domain expertise erodes over time due to over-dependence on automated systems.
The concept of AI Fluency is built around three core capabilities:
- Decision to Correct: The ability to determine when AI-generated output is sufficient and when it poses a risk that requires human revision or rejection.
- Contextual Sovereignty: Ensuring human oversight remains central so AI outputs align with Singapore’s cultural, commercial, and ethical contexts.
- Critical Inquiry: Moving beyond prompting to actively question assumptions, logic, accuracy, and completeness in AI-generated responses.
Real-World Practice vs Theory
As AI tools evolve rapidly, practitioners argue that effective AI capability cannot rely solely on static classroom theory. Real-world usage often involves changing workflows, unpredictable outputs, and context-specific decision-making that require continuous practical application and human judgment.
Maintaining AI fluency increasingly requires learning from practitioners actively applying these tools in commercial environments.
“At OOm Institute, our focus is on building practical decision-making in AI usage,” Mr Cheow added. “Our goal is to help professionals use AI with stronger critical thinking, clearer accountability, and practical business understanding.”
Hashtag: #aicourse #wsqaicourse #aisingapore #aifluency #aiskills
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The issuer is solely responsible for the content of this announcement.
OOm Institute
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Suanova, a Subsidiary of Yeebo, Signs Comprehensive Strategic Cooperation Agreement with InfiX.ai
Advancing Deployment of Training and Inference Integrated AI Platforms in Healthcare Applications, Powered by Domestic High-Density Computing Infrastructure
HONG KONG SAR – Media OutReach Newswire – 10 June 2026 – Yeebo (International Holdings) Limited (“Yeebo”; Stock Code: 00259.HK, together with its subsidiaries, the “Group”) is pleased to announce that its wholly-owned subsidiary, Suanova Technology Limited (“Suanova”), has entered into a comprehensive strategic cooperation agreement with InfiX.ai, a global leader in enterprise-grade generative AI (GenAI) infrastructure solutions. Leveraging Suanova’s Shanghai Cube, a domestically developed high-density computing infrastructure, the two parties will jointly advance the deployment of training and inference integrated AI platforms with continuous self-learning capabilities in healthcare applicatoins. As part of this collaboration, Suanova will contribute its expertise in domestic computing infrastructure by providing the core computing power and foundational support.
With healthcare as the initial focus, the two parties have already collaborated with leading medical institutions to conduct clinical validation in areas such as cancer GenAI, foundational medical Large Language Models (LLMs) and personalized cancer treatment planning.
Building Integrated Infrastructure for Medical AI with Shanghai Cube as the Foundation
The training and inference integrated AI platforms deployed under this collaboration are powered by Shanghai Cube, combined with InfiX.ai’s training, inference and multimodal AI capabilities. This integration delivers a truly unified hardware-software infrastructure tailored for medical AI applications.
Shanghai Cube, developed with the participation of Suanova, was among the earliest of its kind in China and is currently the highest-density domestically developed GPU supernode product. It adopts a high-density deployment architecture featuring 128 GPUs per rack with liquid cooling, enabling compact and efficient deployment of large-scale computing clusters. Shanghai Cube integrates a range of domestically produced core components, including liquid-cooling systems, high-performance parallel storage systems, retimers and motherboard capacitors. It provides a one-stop, highly efficient solution for the large-scale deployment of domestic computing systems and models.
Partnering with InfiX.ai to Build Enterprise-Grade AI Infrastructure
InfiX.ai is a research-driven AI infrastructure company serving global markets, with capabilities spanning IaaS, PaaS and MaaS. The company is building a Decentralized Co-GenAI Network that connects computing power, models, platforms and intelligent applications, with the aim of helping enterprises and organizations train, deploy and own their domain-specific AI based on proprietary data, expertise and business workflows.
InfiX.ai brings together world-class talent in AI research and industry deployment. The company is led by its Founder and Chief Scientist, Prof. Hongxia Yang, with Co-Founder and Vice President Haiqing Chen and Chief AI Architect Jianmin Wu forming the core management and technology team. Prof. Yang is also a Chair Professor at The Hong Kong Polytechnic University and is a globally recognized leader in artificial intelligence, with extensive experience spanning both academia and industry. She previously served as Head of LLMs in the at ByteDance (U.S.), AI Scientist and Director at Alibaba Group, Chief Data Scientist at Yahoo!, and Research Staff Member at IBM T.J. Watson Research Center. Prof. Yang has published more than 150 papers and holds over 50 patents. She has also received numerous international honors, including the WAIC SAIL Award, the National Scientific and Technological Progress Award, and recognition as one of the AI 2000 Most Influential Scholars worldwide.
By integrating InfiX.ai’s training and inference algorithms with Suanova’s high-performance computing platform, the solution significantly reduces memory usage and computing resource requirements. This enables higher throughput and supports training and deployment of larger-scale models under equivalent hardware configurations. The system is also capable of continuously capturing data for incremental training, integrating user feedback for fine-tuning and reinforcement learning, thereby ensuring that model performance evolves alongside changing business needs. Furthermore, the infrastructure supports local execution of the entire AI workflow – from training and fine-tuning to inference – thereby ensuring data security by design and meeting the stringent security requirements of sectors such as healthcare, finance, and government.
Mr. Daliang Chen, CEO of Suanova, said: “This partnership with InfiX.ai represents an important milestone in Suanova’s expansion into medical AI. Leveraging the Shanghai Cube high-density domestic computing platform, we aim to accelerate the adoption of medical AI in real-world clinical settings. This collaboration not only brings together the complementary strengths of both companies from a technological perspective, but also serves as a key step in advancing the domestic computing ecosystem. Looking ahead, we will continue to work closely with our partners to drive the deep integration of artificial intelligence across diverse industries.”
Hashtag: #Yeebo
The issuer is solely responsible for the content of this announcement.
About Yeebo (International Holdings) Limited
Founded in 1988, Yeebo (International Holdings) Limited is a diversified electronic component company with a well-established presence in the global market. The Company’s core business spans flat panel displays, computing power and capacitors, serving a broad spectrum of industrial and consumer applications. Headquartered in Hong Kong, Yeebo operates its manufacturing operations primarily in the Guangdong and Jiangsu provinces, supporting a global sales network that ensures localized service and support for its international clientele.
In alignment with its long-term strategic vision, Yeebo is leveraging its robust operational foundation to expand into the Artificial Intelligence (“AI”) compute and related sectors. This initiative reflects the Company’s commitment to innovation and technological advancement, with the objective of positioning Yeebo as a leading and influential participant in the rapidly evolving AI industry across mainland China and Hong Kong.
About Suanova Technology Limited
Suanova, under Yeebo, is an innovative technology company focused on delivering independent, efficient, and accessible domestic AI computing services. Its business spans three core areas: computing power and cloud operations, computing technology development and computing industry investment. With branches in Hong Kong and Shanghai, it provides customers with better localized services. It is committed to transforming complex AI infrastructure into simple, efficient, and cost‑effective services through continuous technological innovation, with the goal of becoming a leading “infrastructure operator” in the AI era.
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KAST chooses Elliptic digital asset decisioning for global AML and sanctions compliance
KAST has used Elliptic’s solutions since 2024 to screen wallets and monitor crypto transactions for indicators of financial crime as customers fund and use their KAST accounts. By integrating Elliptic’s blockchain intelligence into its risk and compliance stack, KAST has been able to identify high-risk activity in real-time, reduce exposure to sanctioned or illicit wallets and demonstrate robust controls to regulators and partners.
Founded in July 2024 by former Circle executive Raagulan Pathy, KAST provides USD-denominated accounts, global pay-ins and payouts to more than 170 countries, and a growing suite of consumer and business financial tools built on stablecoin rails rather than legacy settlement networks. With KAST, people can hold, send, and spend instantly while transacting with merchants and ATMs around the world.
Since launch, KAST has scaled to more than one million users and is processing about $5 billion in annualized transaction volume, reflecting the growing adoption of stablecoin-based financial services beyond trading and crypto-native use cases. In March, KAST announced a record $80 million Series A funding round, which is being deployed to expand across North America, Latin America and the Middle East. Elliptic’s analytics help KAST manage risk, applying a consistent, data-driven approach to AML and sanctions screening as the platform scales into new markets.
“Every time customers tap their card, send or receive transactions, they need to trust it’s safe,” said Pathy, Founder & CEO at KAST. “Our users rely on us for institution-grade security everywhere in the world. Elliptic is a key part of that promise. Their blockchain intelligence helps us detect fraud patterns, sanctioned activity and other red flags behind the scenes so that our customers feel safe and secure.”
“As stablecoin financial platforms like KAST reach more users, regulators and partners expect the same standard of financial crime controls that apply in traditional finance,” said James Smith, Co-Founder and Chief Strategy Officer at Elliptic. “KAST has been building with compliance in mind from day one. Through this partnership, we are helping to ensure the platform can scale while meeting regulatory expectations for AML and sanctions risk.”
Elliptic’s analytics now underpin KAST’s financial crime controls. Working alongside the platform’s identity, fraud and transaction monitoring solutions, Elliptic supports a consistent, risk-based approach to onboarding, funding and card usage as the platform scales.
Hashtag: #Elliptic
The issuer is solely responsible for the content of this announcement.
About Elliptic
Our platform’s unrivalled uptime, scalability, depth and breadth of our data and intelligence means exacting organizations choose Elliptic for their compliance, risk management, intelligence operations and blockchain infrastructure needs.
Founded in 2013, Elliptic is headquartered in London with offices in New York, Washington D.C., Miami, Dubai, Hong Kong, Singapore and Tokyo. To learn more, visit www.elliptic.co and follow us on
LinkedIn and
X.
About KAST
KAST is a stablecoin-powered financial platform that connects digital assets with traditional finance, enabling 1 million+ people to send, receive and convert funds across borders, currencies and payment rails through a single app. The company focuses on helping individuals and businesses earn globally and spend locally by combining instant peer-to-peer transfers with compliant access to local bank payouts in supported markets. Visit www.kast.xyz.
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