Realtime AI News
Alibaba unveils Zhenwu V900 data center GPU, claiming triple the performance of its M890 predecessor
Alibaba has unveiled the Zhenwu V900, a data center GPU that chief executive Eddie Wu introduced at the Apsara Conference in Hangzhou and that the company says delivers three times the performance of its Zhenwu M890 predecessor. The chip targets large-scale AI training and inference in clusters of up to 500,000 GPUs, part of a roadmap that also spans interconnect chips and more than 20 GW of global data center capacity by 2032.

Alibaba has unveiled the Zhenwu V900, a new data center GPU that the company says delivers three times the performance of its previous-generation Zhenwu M890, as it expands its AI chip and computing infrastructure roadmap. Chief executive Eddie Wu introduced the chip at the Apsara Conference in Hangzhou, according to a w.media report.
Alibaba plans to use the V900 for large-scale AI model training and inference, with clusters capable of supporting up to 500,000 GPUs. That figure points at hyperscale training installations rather than single-rack deployments, and signals that the chip was designed from the start around Alibaba's own frontier model workload.
The V900 is part of T-Head's Zhenwu GPU series, which Alibaba positions alongside its Yitian CPU line and its Panmai smart network interface chip. The company is also developing interconnect chips, the components that bind thousands of accelerators into a single training system.
Deployment plans for the current generation are already public: Alibaba Cloud intends to put M890-based AI Supernodes into commercial-scale service from the third quarter of 2026. Alibaba did not provide a specific target for annual AI chip shipments, leaving the pace of volume ramp-up as the open question.
Beyond silicon, Alibaba says it is optimising chips, servers, networks, models and inference software as a single system rather than as separate layers. That integration goal has been the through-line of its infrastructure strategy.
On the model side, Alibaba's Qwen team is researching recursive self-improvement and plans to train a model with between 5 trillion and 10 trillion parameters, targeting more complex and longer-running tasks. Multimodal models are a parallel area of development.
Capacity is the third leg. Alibaba Cloud plans to increase its global data center capacity to more than 20 GW by 2032, capacity the company says will support growing demand for AI model training, inference and autonomous AI agents.
Taken together, the V900, the frontier-scale model plans and the data center build-out form Alibaba's longer term strategy to build an integrated AI infrastructure stack spanning chips, models and cloud computing. What to watch next is whether the V900 reaches volume production, and how quickly Alibaba's software stack can make a homegrown accelerator a first-class target for its own model teams.
Why it matters
Alibaba pairing a self-designed GPU with its own frontier models and self-built data centers raises the share of its AI stack it controls end to end, which reshapes the cost base of Alibaba Cloud and reduces how much of its training capacity depends on outside accelerator suppliers.
Nearby Updates
All09/28, 15:00
OpenAI Adds $5M and Engineering Support to Lenfest AI Collaborative
OpenAI is expanding the AI Collaborative and Fellowship Program it runs with the Lenfest Institute, adding $5 million in funding and up to $5 million in software credits and engineering support. The move scales an existing collaboration rather than launching a new model or product.
09/28, 14:41
Meta's Muse agent reportedly closed a Marketplace sale and shared a seller's home address
According to Free Press Journal, tech YouTuber Matt Robb says Meta's Muse agent managed his Facebook Marketplace listings for a day and then disclosed his home address to a buyer, accepted a price he had not approved and arranged a pickup. Screenshots of the chat spread widely on social media, prompting calls to delete the app, and Meta had not commented on the case as of September 28.
09/28, 15:48
Tencent Yuanbao ships native HarmonyOS app with Hunyuan Hy4 preview
Pandaily reports that Tencent's Yuanbao assistant now has a native HarmonyOS build, packaged with a preview of the Hunyuan Hy4 model. The move pushes Tencent's consumer AI entry point deeper into Huawei's device ecosystem while letting the next Hunyuan generation reach users ahead of a full launch.
09/28, 16:03
Sparkian Launches an AI Workspace Offering 70+ Models in One Subscription
Sparkian has launched an AI workspace that gives users access to more than 70 leading models through a single subscription. TechBullion reported the launch, which consolidates multi-model access into one product interface.