A practical loop for optimizing GPU inference without guessing It wasn’t an incident. That made it interesting. A few days after a cloud migration, one of our highest-traffic ML services looked healthy. Traffic was flowing. Latency was fine. The rollout had gone the way you want these things to go: boringly. And yet a Slack thread started anyway. Not because…
#gpu
3 posts
1 May
8 Jan
The next universal technology since the smartphone is on the horizon — and it may be a little less pocket friendly. The Moonshot research program, funded by the Japan Science and Technology Agency and accelerated by NVIDIA AI and robotics technologies, is working to create a world by 2050 where AI-powered, autonomously learning robots are […]
21 Feb 2024
Leveraging Spark 3 and NVIDIA’s GPUs to Reduce Cloud Cost by up to 70% for Big Data Pipelines
PaypalBy Ilay Chen and Tomer Akirav At PayPal, hundreds of thousands of Apache Spark jobs run on an hourly basis, processing petabytes of data and requiring a high volume of resources. To handle the growth of machine learning solutions, PayPal requires scalable environments, cost awareness and constant innovation. This blog explains how Apache Spark 3 and GPUs can help enterprises…