Enflame Technology (燧原科技) to Face IPO Review on June 15 on Shanghai STAR Market
The AMW Read
Updates the player map with a major IPO milestone for a domestic AI chip leader, signals structural shift in China's compute autonomy push, involves capital markets event with cross-substrate geopolitical implications.
Enflame Technology (燧原科技) to Face IPO Review on June 15 on Shanghai STAR Market
Shanghai Stock Exchange will review Enflame Technology's IPO application on June 15, 2026, on the STAR Market. The Chinese AI chip company reported revenue growth from RMB 301 million (~$42M) in 2023 to RMB 990 million (~$138M) in 2025, a three-year compound growth rate of 81.32%. Net losses narrowed from RMB 1.67 billion (~$233M) to RMB 1.16 billion (~$162M) over the same period. The company expects to achieve profitability in 2026 or 2027 based on current orders and delivery plans.
Why it matters: Enflame's IPO review marks a key test for China's domestic AI chip ecosystem amid the ongoing U.S.-China technology decoupling. The company's revenue surge is driven by deep integration with Tencent, its anchor customer, as well as a broader push by Chinese cloud providers to diversify away from NVIDIA GPUs. Enflame's use of a fully proprietary DSA architecture—rather than the GPGPU approach favored by competitors like Cambricon or Moore Threads—positions it as a distinct bet on specialized AI inference and training silicon for the Chinese market, a segment that remains fragmented but rapidly scaling.
Expert take: Enflame's IPO comes at a time when the domestic AI accelerator market has reached RMB 378 billion (~$53B), with internet companies accounting for over half of demand. While the company is still loss-making, its narrowing deficit and strong forward guidance suggest it may follow the capital cycle trajectory seen in other Chinese AI infrastructure players, where early losses are accepted in exchange for customer lock-in and government-backed procurement. The outcome of this listing could signal investor appetite for homegrown AI chip makers and influence the pace of China's compute autonomy push.