NVIDIA announced NVIDIA Train, Adapt, and Optimize (TAO), a GUI-based, workflow-driven framework that aims to simplify and accelerate the creation of enterprise AI applications and services. By fine-tuning pretrained models, enterprises can produce domain specific models in hours rather than months, eliminating the need for large training runs and deep AI expertise, according to NVIDIA.
NVIDIA TAO promises to simplify the time-consuming parts of a deep learning workflow, from data preparation to training to optimization, shortening the time to value. Highlights include:
- Access a diverse set of pre-trained models including speech, vision, natural-language understanding and more
- Speedup your AI development by over 10X with NVIDIA pre-trained models and TLT
- Increase model performance with federated learning while preserving data privacy
- The ability to optimize models for high-throughput, low-latency inference with NVIDIA TensorRT
- Optimal configuration deployment for any model architecture on a CPU or GPU with NVIDIA Triton Inference Server
- The ability to seamlessly deploy and orchestrate AI applications with NVIDIA Fleet Command
Learn more and apply for early access to NVIDIA TAO here.
