Please make sure you have run our in-app network test to measure your latency. Note that we also require your latency to be less than 80ms from an NVIDIA data center, but we recommend less than 40ms. Overall, the G4 instances are suitable for our general use cases since they provide a good balance of cost and performance, and the P3 instances are ideal when the additional speed is critical for a particular workload.This article is a guide to help GeForce NOW RTX 3080 members set up their Android device for the best streaming experience.įor other platforms, please view these other guides:īefore you get started, make sure to check the regional availability website to ensure GeForce NOW RTX 3080 memberships are available in your country. Amazon's ECS-optimized AMIs for GPU instances helped us get the new cluster up and running very quickly and we found that the G4 instances doubled our ML training speeds when compared to P2 instances, leading to a cost savings of 33%, while the P3 instances quadrupled the performance and provided a cost savings of 15%. "As our ML and research teams grew, we decided to update our existing Amazon ECS-based compute infrastructure to support Amazon EC2 P3 and G4 GPU-based instance types to better scale our development model. Duolingo’s language learning scientists, machine learning engineers, and AI experts use data from over 300 million learners to constantly increase effectiveness of the platform. These instances provide the best price performance in the cloud for graphics applications including remote workstations, game streaming, and graphics rendering. Compared to comparable instances they offer up to 45% better price performance for graphics-intensive applications.ĭuolingo is a free language education platform that has become the most popular way to learn languages online. G4ad instances feature the latest AMD Radeon Pro V520 GPUs and 2nd generation AMD EPYC processors. These instances are also ideal for customers who prefer to use NVIDIA software such as RTX Virtual Workstation and libraries such as CUDA, CuDNN, and NVENC. These instances also bring high performance to graphics-intensive applications including remote workstations, game streaming, and graphics rendering.
G4dn instances feature NVIDIA T4 GPUs and custom Intel Cascade Lake CPUs, and are optimized for machine learning inference and small scale training. G4 instances are available with a choice of NVIDIA GPUs (G4dn) or AMD GPUs (G4ad).
Amazon EC2 G4 instances are the industry’s most cost-effective and versatile GPU instances for deploying machine learning models such as image classification, object detection, and speech recognition, and for graphics-intensive applications such as remote graphics workstations, game streaming, and graphics rendering.
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