Baidu Kunlunxin M300
Baidu unveiled Kunlun M300 at Baidu World in November 2025 for training and inference of large multimodal models. The announced launch target is early 2027; a target date alone is not evidence of deployment. Sources and verification dates.
Every published figure
Source per value- Owner The company that specified the chip and runs it in its own cloud, data centers or products.
- Baidu 1
- Role What the owner says the chip is for: training, inference, both, or a general-purpose server CPU.
- Training and inference 1
- Design partner The ASIC house that co-designed or physically implemented the chip (Broadcom, Marvell, MediaTek, Alchip, GUC and others), as stated by the owner, the partner, a filing or named trade-press reporting. 'In-house' when the owner states it designed the chip itself, including through an acquired team such as Annapurna Labs.
- In-house (Kunlunxin) 1
- Status Announced: public roadmap without verified deployment. Sampling: first silicon or limited internal use. Preview: customers can request early access, without a GA claim. Deployed: stated production use or general availability. Discontinued: program stopped.
- Announced 1
- Announced Year the owner first announced the chip publicly.
- 2,025 1
- Deployment scale The largest deployment the owner or a named report states: chip counts, clusters, gigawatts or regions.
- Roadmap launch target: early 2027. Customer deployment not verified. 1
Not verified in the sources reviewed: partner basis, foundry, node, memory, memory capacity, memory bandwidth, bf16, fp16, mxfp8, mxfp4, mx8, mx4, fp8, int8, fp4, precision note, power, largest pod, how to get it.
Sources
- SCMP: original reporting from Baidu World, November 13, 2025 accessed 2026-11-11
- DBS: attended Baidu World 2025 and investor forum; M100/M300 roadmap accessed 2026-11-11