Audio transcription AI workflow: Quickly build and deploy customized audio transcription pipelines using NVIDIA Riva automatic speech recognition (ASR) for recognizing human speech.Speech AI workflows for large-scale deploymentsĮxciting updates to NVIDIA Riva help accelerate the development and deployment of audio transcription and intelligent virtual assistant solutions on any cloud Kubernetes distribution.ĭevelopers and AI/ML practitioners can also use NVIDIA Riva to build and deploy any conversational AI pipeline that requires speech and translation AI deployed in the cloud, on-premises, at the edge, or embedded. Accelerated AI Logistics and Route Optimization 101.Learn more about the route optimization AI workflow. Helm charts and Jupyter notebooks with sample Python code.A packaged cloud-native NVIDIA cuOpt solver pipeline.The workflow demonstrates how to use NVIDIA cuOpt to minimize vehicle routing inefficiencies by finding the most optimal route for a fleet of vehicles making deliveries, pickups, dispatching jobs, and more. The NVIDIA route optimization AI workflow is a packaged solution for increasing efficiency, cost-effectiveness, and the capability to adapt in near real-time to dynamic constraints. Route optimization AI workflow for minimizing vehicle routing inefficiencies Building Session-Based Recommendation Models with NVIDIA Merlin.Predict what’s next with increased accuracy with the next item prediction AI workflow and try it on NVIDIA LaunchPad.Īdd these GTC 2023 sessions to your calendar: A reference solution for deploying in production, including components for authentication, logging, and monitoring.Helm charts for cloud-native deployment.NVIDIA Triton Inference Server with NVIDIA Merlin systems.
The workflow contains the following features: The NVIDIA next item prediction AI workflow is designed to help companies build effective, personalized recommendations using little to no user data. Next item prediction AI workflow for personalized product recommendations AI workflows may include pretrained models, training and inference pipelines, Python code, and Helm charts, providing a jump start for developers to accelerate the path to delivering AI outcomes.įor more information about the latest NVIDIA breakthroughs, watch the keynote from CEO Jensen Huang. NVIDIA showed how AI workflows can be leveraged to help you accelerate the development of AI solutions to address a range of use cases at NVIDIA GTC 2023.ĪI workflows are cloud-native, packaged reference examples showing how NVIDIA AI frameworks can be used to efficiently build AI solutions such as intelligent virtual assistants, digital fingerprinting for cybersecurity, product recommendations, and more.
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