MLOps professionals benefit from better visibility into the TAO Toolkit’s training, experimentation and evaluation processes
TEL AVIV, Israel, Dec. 13, 2022 (GLOBE NEWSWIRE) — ClearML Today, ClearML announced that it will integrate with the most recent version of the ClearML unified, end to end MLOps platform. NVIDIA TAO Toolkit 4.0 release.
NVIDIA’s TAO Toolkit accelerates the creation of AI models. Customers can combine pre-trained models with their data to create custom computer vision or conversational AI models. ClearML integration gives practitioners better visibility into the TAO Toolkit’s training, experimentation and evaluation processes. This allows multiple teams to reuse the same process.
“ClearML is working to significantly shorten the time it takes for customers to see value from their investment in ML projects and deliver them to the market,” said Moses Guttmann, CEO and co-founder of ClearML. “By integrating the NVIDIA TAO Toolkit into the ClearML platform, we are able to significantly reduce the barriers of entry by offering state-of-the-art models available for training on custom data. Moreover, ClearML adds a visibility layer that provides TAO users with the extra information they need.”
ClearML can be integrated with NVIDIA’s TAO Toolkit, which helps customers:
Visualize the results of training
Model repositories that are organically constructed
Intuitively, compare experiments
Experiment remotely, without needing infrastructure
The resulting NVIDIA tensorRT binaries can be easily deployed in NVIDIA Triton ClearML-Serving
You can customize and automate the training process by using external triggers (e.g. every week).
ClearML, the premier member of NVIDIA Inception — a global program that nurtures cutting-edge startups — offers an open-source platform purpose-built for the MLOps industry, empowering MLOps teams to build, execute, manage, monitor, and analyze the entire MLOps process from a single fully integrated platform – all with just two lines of code.
NVIDIA’s TAO Toolkit, a low-code AI modeling solution, uses transfer learning to speed up the creation of production-ready AI models.
ClearML, an open-source MLOps platform, is trusted by forward-thinking Data Scientists and ML Engineers, DevOps and decision makers at top Fortune 1000 companies and innovative start-ups around the world. It allows data science, MLOps and DevOps teams to easily create, orchestrate and automate ML workflows at scale. ClearML is a frictionless, unified and end-to-end MLOps Suite that allows customers and users to concentrate on their ML code and automation. This ensures their work is repeatable and scalable. To learn more, visit the company’s website: https://clear.ml.
CMO & GM North America