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Wednesday Sep 23 2026 07:23
10 min

Alibaba stock rose sharply after the Chinese technology group introduced its most powerful artificial intelligence chip to date, strengthening its attempt to build a domestic alternative to Nvidia hardware as US export restrictions reshape China’s semiconductor market.
Alibaba’s Hong Kong-listed shares advanced 5.1% on Tuesday, reaching their highest level in approximately one month. The company’s American depositary receipts subsequently rose about 3.3% in premarket trading.
The rally followed the unveiling of the Zhenwu V900 at Alibaba Cloud’s annual Apsara Conference in Hangzhou. The timing was significant, coming days before US President Donald Trump and Chinese President Xi Jinping meet in Washington for discussions that could influence future restrictions on AI chips and semiconductor equipment.
The Zhenwu V900 is a new AI accelerator developed by T-Head, Alibaba’s semiconductor design division. It is intended to handle both the training of large artificial intelligence models and the inference workloads required to operate them after deployment.
Alibaba says the V900 delivers three times the performance of the Zhenwu M890, which was introduced only four months earlier in May.
The new processor contains 216 GB of high-speed memory and offers 1,200 GB per second of chip-to-chip bandwidth. It also supports FP8 and FP4 numerical formats, allowing customers to balance computational speed, model accuracy and energy consumption across different AI workloads.
Alibaba plans to combine the processor with its networking, storage and server technologies. According to the company, a single cluster could eventually scale to as many as 500,000 V900 chips.
Such a large configuration would allow Alibaba Cloud to train and deploy increasingly complex models without relying entirely on imported processors.
However, the V900 is not yet widely available. Mass production and commercial release are scheduled for the first quarter of 2027, leaving investors to monitor whether Alibaba can manufacture the processor at scale and deliver consistent performance.
The company said its existing Zhenwu chip family is already being used by more than 650 customers across the automotive, financial services, energy, manufacturing, large-language-model and robotics industries. Alibaba’s official AI roadmap suggests management intends to turn the processor into a central component of its cloud infrastructure rather than a limited internal project.
The V900 represents a more credible domestic competitor to Nvidia inside China, but it does not necessarily mean Alibaba has matched Nvidia’s latest global technology.
Alibaba has described the processor as China’s most powerful AI chip. That claim has not been independently verified, and the company has not published enough standardized benchmark results to allow a complete comparison with Nvidia’s current products.
Initial industry comparisons suggest the V900 may deliver performance closer to Nvidia’s Hopper generation. Hopper remains widely used, but Nvidia has since introduced more advanced Blackwell processors and is moving toward its next-generation Rubin architecture.
The competitive significance of the V900 therefore lies less in achieving immediate global performance leadership and more in giving Chinese companies another workable alternative to Nvidia.
US restrictions have limited China’s access to the most advanced Nvidia accelerators and semiconductor-manufacturing technology. That has created a protected domestic opportunity for Alibaba, Huawei, Cambricon and other Chinese chip designers.
If Alibaba can produce the V900 in large quantities, integrate it efficiently with its cloud platform and provide reliable software support, the processor could capture workloads that would otherwise have used Nvidia hardware.
Nvidia still holds substantial advantages. Its CUDA software ecosystem is deeply embedded across global AI development, while its latest processors, networking products and complete data-center systems remain the industry benchmark.
The V900 is therefore better viewed as a challenge to Nvidia’s position in China than as proof that Alibaba has overtaken the US chipmaker internationally. Barron’s analysis similarly noted that Alibaba’s technology remains behind the latest systems offered by leading US AI companies.
The Zhenwu announcement forms part of a broader strategy covering chips, cloud infrastructure, foundation models and AI agents.
Alibaba is currently training Qwen 4 and plans to develop future models containing between 5 trillion and 10 trillion parameters. Its current flagship model, Qwen3.8-Max, contains approximately 2.4 trillion parameters.
Larger parameter counts do not automatically translate into better models, but Alibaba’s roadmap demonstrates the scale of the computing infrastructure it expects to require.
CEO Eddie Wu said customer demand for artificial intelligence services was exceptionally strong and continued to exceed Alibaba Cloud’s available supply. The company aims to increase its global data-center capacity to more than 20 gigawatts by 2032.
Alibaba has already committed more than $53 billion over three years to AI and cloud infrastructure. Its ability to deploy proprietary chips could lower inference costs, reduce exposure to export restrictions and improve the economics of that investment.
The company also unveiled an upgraded supernode server containing its own accelerators, networking equipment, storage controllers and intelligent network cards. This system-level approach follows the strategy used by Nvidia, which increasingly sells complete AI infrastructure rather than individual chips.
“Industry demand in the medium to long term far exceeds our supply capacity,” Wu said at the conference, according to Reuters.
The chip announcement arrived shortly before Trump and Xi meet at the White House on September 24.
The official state visit will be Xi’s first at the White House in more than a decade. The two leaders are expected to discuss tariffs, artificial intelligence, rare-earth supplies, technology restrictions and broader US-China relations.
The White House confirmed that Trump will welcome Xi on Thursday, followed by bilateral events and a state dinner.
A relaxation of US restrictions on advanced chips could improve the computing capacity available to Alibaba and other Chinese technology companies. Conversely, tighter export controls would increase the strategic value of the Zhenwu V900 and accelerate investment in domestic processors.
Rare earths may provide China with negotiating leverage. These materials are essential for semiconductor manufacturing, electronics, electric vehicles and defense systems, making their supply an important issue for both governments.
Expectations for a major business agreement remain limited. Chinese corporate executives are not expected to form a substantial delegation at the summit, according to The Wall Street Journal. The meeting may instead produce a modest extension of the existing trade truce or new mechanisms for managing AI-related risks.
For Alibaba, the most important outcome will be whether the summit reduces uncertainty surrounding semiconductor access or confirms that technological separation will continue.
The Zhenwu V900 gives investors another reason to value Alibaba as an AI infrastructure company rather than only an e-commerce platform.
Further gains in Alibaba stock could depend on several factors:
The risks are equally significant. Alibaba must secure sufficient manufacturing capacity, build a software ecosystem around its chips and control the cost of its rapidly expanding AI infrastructure.
Its planned capital spending will also need to generate durable cloud revenue. Strong demand does not automatically guarantee attractive returns if processor costs, electricity consumption and data-center construction expenses rise faster than sales.
The Zhenwu V900 strengthens Alibaba’s position in China’s race to develop an independent AI technology stack. Its reported performance improvement, large memory capacity and ability to operate in enormous clusters could make it a meaningful alternative where access to Nvidia’s most advanced processors remains restricted.
Still, challenging Nvidia inside China is different from matching the company’s latest technology worldwide. Alibaba must demonstrate that the V900 can be manufactured at scale, supported by competitive software and deployed economically across real customer workloads.
The Trump-Xi summit adds another layer of uncertainty. An easing of technology restrictions could expand Alibaba’s access to global hardware, while further tightening would make proprietary chips even more important.
For investors, the V900 announcement improves Alibaba’s long-term AI narrative. The next test will be whether the company can convert its ambitious chip and data-center roadmap into sustained cloud growth and stronger returns.
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