贾扬清正式宣布离职英伟达并创立新公司Intent Lab [1]。该公司推出的首批AI基础设施产品包括Fleet系统、数据库引擎和分布式文件系统AgentFS [1]。
在推理引擎性能方面，Fleet系统将GLM-5.2的输出速度从102 tokens/s提升至647 tokens/s，实现了6.3倍的性能提升 [1]。该系统通过内核层优化、运行时优化、通信优化和投机解码优化四类方案达成这一目标 [1]。
Intent Lab的其他产品也展现了显著成效。开发的数据库引擎已通过600万条SQLite兼容性测试 [1]，分布式文件系统AgentFS在部分指标上相比EFS快600倍，并进行了约190万个状态的形式化验证 [1]。贾扬清将Fleet定义为"全球第一个把意图变成生产级软件的自主团队" [1]。
Jia Yanqing has officially established Intent Lab following his departure from NVIDIA, unveiling a suite of AI infrastructure technologies designed to automate software development at production scale [1]. The company's flagship offering, the Fleet system, accelerates the GLM-5.2 inference engine by 6.3 times, boosting output speed from 102 tokens per second to 647 tokens per second [1]. This performance improvement is achieved through four optimization approaches: kernel-level enhancements, runtime optimization, communication improvements, and speculative decoding [1].
Beyond the inference engine, Intent Lab has developed complementary infrastructure components to support autonomous AI systems [1]. A SQLite-compatible database engine has passed 6 million test cases, while a distributed file system called AgentFS demonstrates performance improvements of up to 600 times compared to EFS in certain metrics and has undergone formal verification of approximately 1.9 million state transitions [1]. Jia Yanqing characterizes Fleet as "the world's first autonomous team capable of converting intentions into production-grade software," positioning the platform as a comprehensive solution for end-to-end AI-driven software development [1].
