# TensorOpera GenAI Platform

TensorOpera® AI ([https://TensorOpera.ai](https://tensoropera.ai/)) is an independent C-corp company in the US. At the same time, it contributes part of ChainOpera AI's technical foundation. 

TensorOpera® AI is the next-gen cloud service for LLMs & Generative AI. It helps developers to *launch* complex model *training*, *deployment*, and *federated learning* anywhere on decentralized GPUs, multi-clouds, edge servers, and smartphones, *easily, economically, and securely*.

Highly integrated with [TensorOpera open source library](https://github.com/fedml-ai/fedml), TensorOpera AI provides holistic support of three interconnected AI infrastructure layers: user-friendly MLOps, a well-managed scheduler, and high-performance ML libraries for running any AI jobs across GPU Clouds.

<figure><img src="/files/wQdcJ0k4zzshqiXSRmaJ" alt=""><figcaption></figcaption></figure>

A typical workflow is showing in figure above. When developer wants to run a pre-built job in Studio or Job Store, TensorOpera®Launch swiftly pairs AI jobs with the most economical GPU resources, auto-provisions, and effortlessly runs the job, eliminating complex environment setup and management. When running the job, TensorOpera®Launch orchestrates the compute plane in different cluster topologies and configuration so that any complex AI jobs are enabled, regardless model training, deployment, or even federated learning. TensorOpera®Open Source is unified and scalable machine learning library for running these AI jobs anywhere at any scale.

In the MLOps layer of TensorOpera AI

* **TensorOpera® Studio** embraces the power of Generative AI! Access popular open-source foundational models (e.g., LLMs), fine-tune them seamlessly with your specific data, and deploy them scalably and cost-effectively using the TensorOpera® Launch on GPU marketplace.
* **TensorOpera® Job Store** maintains a list of pre-built jobs for training, deployment, and federated learning. Developers are encouraged to run directly with customize datasets or models on cheaper GPUs.

In the scheduler layer of TensorOpera AI

* **TensorOpera® Launch** swiftly pairs AI jobs with the most economical GPU resources, auto-provisions, and effortlessly runs the job, eliminating complex environment setup and management. It supports a range of compute-intensive jobs for generative AI and LLMs, such as large-scale training, serverless deployments, and vector DB searches. TensorOpera® Launch also facilitates on-prem cluster management and deployment on private or hybrid clouds.

In the Compute layer of TensorOpera AI

* **TensorOpera® Deploy** is a model serving platform for high scalability and low latency.
* **TensorOpera® Train** focuses on distributed training of large and foundational models.
* **TensorOpera® Federate** is a federated learning platform backed by the most popular federated learning open-source library and the world’s first FLOps (federated learning Ops), offering on-device training on smartphones and cross-cloud GPU servers.
* **TensorOpera® Open Source** is unified and scalable machine learning library for running these AI jobs anywhere at any scale.


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