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AI infrastructure startup Trajectory has completed a $40 million financing round, with participation from Sequoia Capital

According to The Information, AI infrastructure startup Trajectory announced the completion of a $40 million financing round, with a post-money valuation of $300 million, co-invested by Sequoia Capital. The specific financing round and other investors have not been disclosed.Trajectory was founded by researchers from tech companies such as Google and Apple, and primarily helps businesses customize open-source AI models for specific business needs, as well as optimize the software toolchain that supports AI Agent operations (referred to as "Agent Harness"). As the costs of using closed-source large models continue to rise, more and more companies are looking for alternatives: on one hand, they are reducing costs by fine-tuning and customizing open-source models, and on the other hand, they are improving the Agent execution framework to enable AI models to more effectively call tools and execute tasks.This trend is driving a new wave of entrepreneurial enthusiasm around model adaptation and Agent infrastructure. Trajectory aims to address key issues faced by enterprises in deploying AI Agents, including model performance optimization, task execution reliability, and adaptation to enterprise scenarios. The company hopes to help businesses build more efficient and cost-effective AI applications by providing model customization and Agent operation infrastructure.Investors believe that as AI evolves from simple chatbots to Agents capable of autonomously executing complex tasks, a new layer of infrastructure around model optimization and Agent engineering will become an important market. In recent years, Sequoia has also continued to increase its investment in the AI infrastructure sector, including investments in AI Agents and enterprise AI applications.

hot_img SemiAnalysis: Gemini has exited the frontier competition, and GCP is accelerating the sale of TPUs to third parties for profit

The research organization SemiAnalysis released an analysis indicating that Google DeepMind is no longer among the leading AI laboratories. A week prior, DeepMind co-founder Demis Hassabis stepped back from daily operations, and key members such as Google Chief Scientist Jeff Dean and Gemini co-lead Oriol Vinyals left to establish a new lab called Discovery Loop. The analysis suggests that the long-term struggle within Google over computing power allocation between Gemini and GCP has concluded with GCP emerging victorious.SemiAnalysis stated that Gemini 3.5 Pro has been canceled, and Gemini 3.6 Flash's performance is inferior to that of leading Chinese open-source models and Grok 4.5. Currently, Gemini has fallen to the 8th or 9th position in the large model rankings. Meanwhile, GCP is selling a large number of TPUs to competitors like Anthropic, having secured long-term leasing and sales contracts for hundreds of thousands of TPUs over the past nine months. The Tokenomics model estimates that Gemini's own ARR is about $12 billion, while GCP's third-party AI cloud service revenue is expected to exceed $73 billion by the end of 2027, with TPU system sales contributing an additional over $120 billion. GCP's latest quarterly growth rate is 82%, and it is expected to accelerate to over 100% by 2027 due to TPU system sales, contributing approximately $3 to Google's earnings per share.
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