… 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. …
… What didn’t work initially Initial installation required dedicated time to set a new environment and adjust the installation to the relevant hardware profile early on. To use Nemotron Parse, the model swap was straightforward and did not require additional optimization or customization. …
… Release Notes 2026.2.1 Highlights New Amazon S3 and compatible API Trace Trace S3 access APIs in these libraries: AWS Common Runtime S3 client, Boto3, S3TorchConnector, and TensorFlow I/O GitHub catalog for 3rd party Nsight Systems Plugins Third partyvendors, can install plugin manifests into a pre… …
… In benchmarking tests conducted by NVIDIA and Nebius AI Cloud, NVIDIA Run:ai delivered up to 2x greater user capacity on existing hardware during peak periods, demonstrating that enterprises can significantly scale inference workloads without proportional increases in GPU investment. …
Agentic AI / Generative AI NVIDIA Ising Introduces AI-Powered Workflows to Build Fault-Tolerant Quantum Systems Apr 14, 2026 By Tom Lubowe , Christopher Chamberland , Shuxiang Cao , Ivan Basov and Jan Olle Discuss 3 Discuss 3 L T F R E AI-Generated Summary Like Dislike NVIDIA Ising, released in 202… …