Look out Nvidia — Alibaba reveals its most powerful AI models for robots as it looks to strike ahead in agentic race | Tech Radar
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Look out Nvidia — Alibaba reveals its most powerful AI models for robots as it looks to strike ahead in agentic race
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Its first embodied-AI models are split into navigation (Robot Nav), a video "world model" (Robot World), and manipulation (Robot Manip)
The move comes after Nvidia recently unveiled and published its own Cosmos 3 offerings
As much of its AI competition continues to focus on LLMs and making them faster and more capable, Alibaba might be looking to lead on another frontier altogether, along with its LLM ambitions in tow: robots.
The company's Tongyi Lab has unveiled the Qwen Robot Suite, what it calls a family of models focused on "embodied AI," which centers on enabling machines to perceive space, reason, and act accordingly.
This comes at the heels of Nvidia's own Cosmos 3, a frontier model for physical AI, further bolstering CEO Jensen Huang's narrative that China's developer ecosystem remains relatively unaffected by chip restrictions, even as focus in the West continues to shift to power for many of the sprawling data centers being built in the US.
A competitor or a complement to Nvidia's playbook?
The Qwen-Robot Suite consists of three core models: Qwen-Robot Manip, a generalizable vision-language-action model; Qwen-Robot Nav, a scalable vision-language navigation model; and Qwen-Robot World, a video world model designed for embodied intelligence.
There is no denying, however, that robotics is being treated as perhaps the most crucial frontier for AI, even as LLMs continue to advance, with both Google and Nvidia among the companies pouring billions into research on their respective Gemini Robotics and open source Cosmos offerings.
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Alibaba claims that the model, which leverages a more lightweight Qwen 3.5-4B model rather than its Qwen 3.7 Max, which features over a trillion parameters, manages to top the Robo Challenge real-robot benchmark, scoring an impressive 59.83 and a 45% task success rate.
With other interested parties such as Tencent, Unitree, Agi Bot, UBTech, Galbot, Spirit AI, and Giga AI, in addition to interest from EV firms including Xpeng and Xiaomi, all shaping the future of Chinese AI robotics, R&D in the industry is continuing at full swing, even as upcoming IPOs are expected to further propel the industry forward with easier access to capital.
The South China Morning Post, a wholly owned subsidiary of Alibaba, noted that "Alibaba’s entry comes as embodied intelligence is fast becoming the next frontier in global AI."
Nvidia's position on the matter is perhaps more nuanced with it attempting to behave as an 'enabler' versus a direct competitor as it pushes its open-source model to perhaps form the same building block that CUDA does for GPUs with Cosmos, GR00T, Isaac and similar offerings being the playbook this time around to ensure future robotics platforms are built, much like most AI tools, around Nvidia's hardware and software stack.
Alibaba's announcement might not be a sign of the Chinese giant out-engineering Nvidia, but in the backdrop of the Chinese government insisting informally at least, on a decoupling or at a minimum, no reliance on US-based hardware or software, it can be seen as an intent to build a similar ecosystem for Chinese robotics companies.
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In the absence of Nvidia's presence in China, it might be hard to compare the two offerings, even as their scales differ considerably: Cosmos 3 is an open-world foundation model with multiple vendor-reported scores that do not cover Robo Challenge, whereas Alibaba's are self-reported from exactly one benchmark. Until both approaches can be compared directly, one can not assume superiority of one over the other.
What is, however, perhaps painfully obvious for Nvidia, and has been warned of time and again by its CEO, is that China, irked by US policies around AI, is no longer looking for chips, models, or even open source solutions to incorporate into its ecosystem, but wishes to build them from the ground up.
This could result in a lack of exposure to what was the second most lucrative market for the chip designer, a move that could cost it billions of dollars in revenue in the robotics segment alone, from what is still widely considered the "factory of the world" due to its huge manufacturing base.
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Having built hundreds of gaming PCs and being an avid gamer in his spare time, Rahim tends to have stronger opinions about hardware than most. This is particularly on display when he gets his way with powerful, but minimalistic RGB builds even as Small Form Factor (SFF) PCs come a close second.
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