Making GenAI
accessible for everyone
Making GenAI
accessible for everyone
We provide the framework for enterprises to easily build and train
high-performing customized GenAI models and serve them at low cost.
We provide the framework for enterprises to easily build and train
high-performing customized GenAI models and serve them at low cost.
Solution
Solution
DeepAuto LLMOps is a solution that automates and optimizes the entire process of selecting, training, evaluating, and deploying language models for enterprise clients. It offers several tailored solutions for different customer needs at various stages of the LLMOps cycle: the Agent Builder solution for customers needing automatic model development, the ScaleServe, and AutoEvolve solutions for those looking to reduce serving costs, and the AutoEvolve solution for clients aiming to maintain stable performance
DeepAuto LLMOps is a solution that automates and optimizes the entire process of selecting, training, evaluating, and deploying language models for enterprise clients. It offers several tailored solutions for different customer needs at various stages of the LLMOps cycle: the Agent Builder solution for customers needing automatic model development, the ScaleServe, and AutoEvolve solutions for those looking to reduce serving costs, and the AutoEvolve solution for clients aiming to maintain stable performance
Solution 2
Solution 2
DeepAuto Space is a research-friendly, on-premise, and cloud-based AI research and development platform designed to help AI researchers utilize limited GPUs more efficiently and effectively. It provides features necessary for AI research, including team-based GPU quota scheduling, team-based job scheduling, usage reports, thus enhancing research productivity and maximizing GPU usage.
DeepAuto Space is a research-friendly, on-premise, and cloud-based AI research and development platform designed to help AI researchers utilize limited GPUs more efficiently and effectively. It provides features necessary for AI research, including team-based GPU quota scheduling, team-based job scheduling, usage reports, thus enhancing research productivity and maximizing GPU usage.
Solution Usage Scenario
Serving Cost Reduction
Serving Cost Reduction
ScaleServe cuts operating costs by routing queries to the most cost-effective models, while enabling them to handle millions of input tokens and achieve up to 83% cost reductions.
ScaleServe cuts operating costs by routing queries to the most cost-effective models, while enabling them to handle millions of input tokens and achieve up to 83% cost reductions.
Naver D2 Startup Campus, Seoul, 06620 South Korea 🇰🇷
8 The Green 14844 Dover DE 19901, USA 🇺🇸
© DeepAuto.ai All rights reserved. Privacy Policy.
Naver D2 Startup Campus, Seoul, 06620 South Korea 🇰🇷
8 The Green 14844 Dover DE 19901, USA 🇺🇸
© DeepAuto.ai All rights reserved. Privacy Policy.
Naver D2 Startup Campus, Seoul, 06620 South Korea 🇰🇷
8 The Green 14844 Dover DE 19901, USA 🇺🇸
© DeepAuto.ai All rights reserved. Privacy Policy.