The GRID SDK enables developers to efficiently render, capture and encode on a server, while decoding the stream on a client. NVIDIA GRID takes key technologies from gaming, workstation graphics, and supercomputing, and enables high performance Applications and Games to run on the Cloud, with pixels streamed over IP networks to remote users. Each GPU features an on-board hardware video encoder designed to support up to eight real-time HD video streams or up to four real-time full HD video streams Support for low-latency frame capture and encoding for either the full operating system or select render targets, enabling high-quality interactive streaming experiences.High-performance NVIDIA GPUs, each with 1,536 CUDA cores and 4GB of video memory.High Frequency Intel Xeon E5-2670 (Sandy Bridge) Processors.You can also use them for graphics applications, including game streaming, 3-D application streaming, and other graphics workloads.

You can use GPU instances to accelerate many scientific, engineering, and rendering applications by leveraging the Compute Unified Device Architecture (CUDA) or OpenCL parallel computing frameworks. If you require high parallel processing capability, you’ll benefit from using GPU instances, which provide access to NVIDIA GPUs with up to 1,536 CUDA cores and 4 GB of video memory. Use your 3D application or streaming applicationĪbout GPU Instances When would you use a GPU instanceĭo you want to build fast, 3D applications that run in the cloud and deliver high performance 3D graphics to mobile devices, TV sets, and desktop computers? Which Remote Desktop solution is recommended?

How to use AWS EC2 – GPU Instances 0n Windows

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