… Amazon Web Services AWS With AWS, AODT moves to the cloud, giving researchers and network operators on‑demand access to large‑scale, physics‑accurate network simulation. …
… At AWS, he was a founding member of the Amazon EKS team and helped define Kubernetes at AWS through work on EKS, Karpenter, and the broader OSS ecosystem. …
… Additional Resources Technical Blogs BuildReal-Time Visual Inspection Pipelines With NVIDIA TAO 6 and DeepStream 8 Mitigating Visual Perception Occlusions Using Single-View 3D Tracking in NVIDIA DeepStream State-of-the-Art Real-Time Multi-Object Trackers With NVIDIA DeepStream SDK 6.2 Building an E… …
… Currently, AWS is supported, with Azure and GCP support coming soon. This comprehensive toolkit enables consistent deployment across different cloud environments. For more information about AWS deployment, see the VSS Cloud Deployment Guide . …
… It supports on-prem clusters, cloud providers such as AWS, Azure, and GCP, multi-cloud environments, NVIDIA Jetson™ and ARM edge hardware, and mixed compute setups. …
… Previously, he held business development and product marketing roles at AWS and SAP. …
… Pipeline adaptation : Integrating Nemotron Parse required modifying multiple components in the extraction pipeline to support the model’s input and Model serving architecture : Due to hardware requirements for GPU-accelerated inference, Nemotron Parse was deployed as a dedicated model-serving servi… …
… A deep learning model that previously took 600 minutes to train now takes only 90. — Felix Goldberg, Chief AI Scientist, Tracxpoint Deepset achieves a 3.9X speedup and 12.8X cost reduction for training natural language processing models by working with AWS and NVIDIA. …
… Raymond Laflamme at the Institute for Quantum Computing and has held research roles at IBM, AWS Quantum, and Caltech, contributing to quantum error correction and full-stack quantum system design. …
… Before joining NVIDIA, Moshe worked as a product manager at AWS and Microsoft. …