Discover how to build & scale gen AI apps with Iguazio (acquired by McKinsey) and MongoDB - with simplicity, performance & risk mitigation in mind
Discover how to build & scale gen AI apps with Iguazio (acquired by McKinsey) and MongoDB - with simplicity, performance & risk mitigation in mind
GPUs are a necessity for use cases that involve large workloads. GPUaaS simplifies the management of GPUs to improve performance and save significant costs.
The rapid progress in AI/ML has propelled the emergence of new mobility application scenarios that were unthinkable just a few years ago. What is the ideal way to process data efficiently and cost-effectively in a connected car world?
Join Yaron Haviv and Asaf Somekh at GTC21 for four sessions on our favorite topics, MLOps and AI!
Using GPUaaS in this way simplifies and automates data science, boosting productivity and significantly reducing time to market.
Here’s the problem: we are always under pressure to reduce the time it takes to develop a new model, while datasets only grow in size. Running a training job on a single node is pretty easy, but nobody wants to wait hours and then run it again, only to realize that it wasn’t right to begin with.