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PhoenixWang
PhoenixWang

Posted on Originally published at cs.columbia.edu

A Database Engineer Inherited Qwen. Now It Has 3 Billion Downloads.

On April 8, 2026, Alibaba reshuffled its AI leadership in one internal letter.
Zhou Jingren gave up the CTO seat at Alibaba Cloud, held since December 2022,
and took a rare title: Chief AI Architect.

A swap of machine for engine, at first glance. Not in Zhou's reading. "The
development of large models and the support of the cloud system are
inseparable," he had told LatePost the year before. Weak model, discounted
cloud; strong model, lagging cloud, no cost-efficient service. He chose the
model.

Zhou Jingren's Columbia University academic page, dated 2015, listing his Microsoft and Alibaba roles

Twenty Years Beneath the Model

In 1994 Zhou entered USTC's Special Class for Gifted Young from a middle school
in Chengdu. His 2004 Columbia PhD thesis taught query engines to respect cache
lines and SIMD lanes. Microsoft kept him eleven years: Bing infrastructure, then
SCOPE, the big-data engine that married parallel databases to MapReduce.

At Alibaba he ran iDST research, Taobao search and recommendation, then the
cloud as CTO from December 2022 — the HPN7.0 fabric connecting over 100,000
GPUs, AI platform utilization above 90 percent. IEEE Fellow 2018, ACM Fellow
2024, Alibaba partner in December 2025. "Models and cloud cannot be separated"
was a resume summary, not a slogan.

The Bet the Numbers Keep Confirming

In August 2023 Alibaba opened the Qwen family, with Zhou as the final
decision-maker. His logic, stated to LatePost: models would become a core
production element that spreads fastest in the open, and open source had become
a major innovation driver. He accepted the price — opening weights means
accepting everyone's tests.

The tests came back generous. April 2025: 300 million downloads, 100,000-plus
derivatives. August 2026: 3 billion downloads, 460-plus open models. Hugging
Face's independent January–July 2026 tally: 2.045 billion Qwen downloads against
418 million for Google and 227 million for Meta; 151,448 derivatives, 2.6 times
Meta's footprint.

Hugging Face's State of Open Models chart showing Qwen downloads and derivatives versus Meta and Google

Inheriting the Family Mid-Crisis

March 4, 2026: Qwen technical lead Lin Junyang announced his departure on X —
the third senior Qwen executive to leave this year. Alibaba's Hong Kong shares
slid as much as 5.3 percent. A task force followed within a day; in April the
lab became the Tongyi Large Model Business Unit under Zhou.

The pressure shows in product decisions. Qwen3.6-Plus, the flagship, launched
API-only and topped OpenRouter's usage rankings within days. "Alibaba is
building an AI factory. Open source may be the cost," Hello China Tech wrote.
Zhou's counter: weights for Qwen3.8-2.4T-A95B, a Qwen-Max-class model with a
million-token context window.

Alibaba Cloud's blog page announcing the Qwen3.8 flagship weight release

The Quiet Engineer's Answer

He holds no viral keynotes; the English-speaking world knows him through release
notes. A systems operator treats a model family the way he once treated Bing's
data pipelines — as infrastructure other people's products run on. The arc from
a Chengdu classroom in 1994 to the world's most-downloaded model family is loud
only in numbers.

The question left by the factory he now runs: whether the weights that built
the 3 billion keep flowing — and whether the man who chose the test will keep
submitting his best work to it.

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