TensorOpera AI

Founded 2022

Build, train, and deploy multi-agent systems and custom language models across cloud GPUs

Pricing model

Free Tier, Paid

You can use TensorOpera to build, deploy, and manage autonomous agent workflows and custom machine learning models. It lets developers create agents using prompts, workflows, APIs, or custom code, and connect them with external services and knowledge bases. You can access language models like OpenAI, Anthropic, DeepSeek, and Llama through a unified interface. The system also offers serverless GPU cloud access for fine-tuning models, distributed training, model serving, and federated learning on edge devices like smartphones and IoT hardware without sharing raw training data.

What TensorOpera AI does

Deploy a custom model API endpointSpin up on-demand H100 serverless GPU instancesConfigure an automated multi-agent workflowAttach a custom knowledge base to an agentRun federated model training across mobile devicesRoute prompts between different commercial and open-source modelsConnect external tools via Model Context Protocol serversMulti-agent orchestration and routing across diverse foundation modelsServerless GPU cloud infrastructure with on-demand A100 and H100 clustersModel Context Protocol (MCP) server integration to connect external servicesLow-latency model serving and deployment APIsDistributed training and fine-tuning across cross-cloud hardwareFederated learning framework for mobile devices, IoT, and web browsersCustom knowledge base integration for domain-specific context retrievalPre-integrated Fox-1 small language model for edge computing