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

HANGZHOU, CHINA - Media OutReach Newswire - 20 May 2025 - Alibaba today announced a comprehensive upgrade of its full AI stack—spanning cloud infrastructure and model services, AI chips and foundation models —to empower customers in building, deploying, and scaling AI agents with greater efficiency, reliability, and performance.

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

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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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A Singapore inventor's search for a non-stick pan that didn't rely on a chemical coating led to Vera, a line finished with an engraved pure-titanium cooking surface. It debuts through a crowdfunding campaign.

SINGAPORE – Media OutReach Newswire – 22 September 2026 – Morph Brand, a Singapore-based cookware company, today announced the launch of Vera, a line of cookware built around an engraved pure-titanium cooking surface rather than a conventional chemical non-stick coating. The line comprises the Vera Pan, Vera Wok, and Vera Soup Pot, and is being introduced through a crowdfunding campaign on Kickstarter that opened on 22 September 2026

Vera Pan's engraved titanium AeroGrid surface releases a fried egg cleanly — no coating, no oil needed

The idea began at founder Kenneth Li's own stove. Like many home cooks, he says, he kept replacing non-stick pans as their coatings wore down and began to wonder where that worn-away material was ending up. When his search for a pan that stayed non-stick on its own turned up nothing, he set out to engineer one himself.

"I wanted a pan with nothing to hide, where the non-stick comes from the shape of the surface itself, not something applied on top," said Kenneth, a Singapore-based inventor and entrepreneur whose product work, according to Morph Brand, has been recognized by the World Intellectual Property Organization and featured by Nanyang Technological University and the National University of Singapore.

That idea became AeroGrid. Each Vera product is constructed with a three-ply aluminium body and a cooking surface made of pure titanium, according to the company. The titanium surface is engraved with a fine honeycomb texture, which Morph Brand calls AeroGrid — that the company says is machined into the metal rather than applied as a separate coating, and is designed to reduce the area of contact between food and the pan so that food releases with less oil.

Because the cooking surface relies on the engraved texture rather than an applied layer, Morph Brand states that Vera cookware is manufactured without intentionally added per- and polyfluoroalkyl substances (PFAS), and without polytetrafluoroethylene (PTFE, commonly sold under the brand name Teflon) or perfluorooctanoic acid (PFOA). The company says this removes the coating layer that can wear over the life of conventional non-stick pans.

The launch comes as regulators in several jurisdictions move to restrict PFAS in consumer products. In the United States, Minnesota's prohibition on intentionally added PFAS across several product categories, including cookware, took effect on January 1, 2025, and other states and regulators have advanced their own measures. Morph Brand positions Vera as an option for consumers seeking cookware made without added PFAS.

The company further states that the titanium cooking surface is non-reactive and that the three-ply aluminium body is designed to heat evenly and resist warping. Morph Brand notes that non-stick performance and durability depend on proper use and care.

Vera is available to support through Morph Brand's Kickstarter campaign. Product specifications, pricing, and estimated delivery dates are listed on the campaign page.
Hashtag: #Morphbrand #TitaniumPan #VeraPan #AeroGrid #VeraCookware #EngravedNonStick #HoneycombSurfacePan #TitaniumCookware

https://instagram.com/morphbrand.official/
https://www.kickstarter.com/projects/morphbento/vera-pan-aerogrid-titanium-for-healthier-non-stick-cooking?ref=bvgkcw

The issuer is solely responsible for the content of this announcement.

Morph Brand

Morph Brand Pte. Ltd. is a Singapore-based product design studio founded by WIPO-recognised inventor Kenneth Li, creating original consumer products and launching them to a global audience. With 5+ Kickstarter campaigns across the US, Taiwan, Japan, Korea, Hong Kong, and Singapore, Morph designs in Singapore and ships worldwide, most recently with Vera Titanium Cookware and its patented AeroGrid™ technology.

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