Tensorfuse AI is a serverless GPU computing platform that enables you to deploy, manage, and auto-scale generative AI models in your own cloud environment.
The platform is primarily designed to help developers and enterprises quickly run inference, fine-tune, and deploy AI models on private clouds while managing GPU resources.
You need your own cloud account (e.g., AWS, GCP, or Azure); the platform will manage GPU resources within that account.
Pricing is usage-based—charges depend on actual GPU resources consumed, with on-demand billing.
Supports deploying a range of generative AI models and is compatible with inference servers like vLLM, TensorRT, and custom Docker environments.
All models and data stay in your private cloud environment; the platform does not store user data.
Especially suitable for industries with strict data privacy and compliance needs, such as finance and healthcare, and for any company needing to run AI workloads efficiently.
Silicon Flow AI provides a one-stop cloud service for generative AI, integrating 50+ mainstream open-source large models, with a self-developed inference engine that significantly accelerates and reduces costs, helping developers and enterprises quickly build AI applications.
Langfuse AI is an open-source LLM engineering and operations platform designed to help development teams build, monitor, debug, and optimize applications based on large language models. It enhances AI application development efficiency and observability by providing features such as application tracing, prompt management, quality assessment, and cost analysis.
