Over-clocking is something I do manually anyway, so the factory clock speed doesn't really matter to me. 4gb of memory is more than enough so the extra memory on the 390X just goes to waste. Glad I bought the 290X before the 390X came out because it performs basically the same. They are the same GPU with just a slight over-clock and twice the memory. 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.AMD 400 series will be here soon. 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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