Search Results for "deploy"

Create apps that run everywhere, publish, share with the community, and deploy to the edge, globally. Serve sandboxed WebAssembly apps anywhere through a single runtime and do in days what others do in months. Using a binary for each platform and chip is the past. Rise above with lightweight containerized apps that simply run everywhere. Supports almost every programming language. Truly universal, runs everywhere & fast as native.

...TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers, embedded, or automotive product platforms. TensorRT is built on CUDA®, NVIDIA’s parallel programming model, and enables you to optimize inference leveraging libraries, development tools, and technologies in CUDA-X™ for artificial intelligence, autonomous machines, high-performance computing, and graphics. ...

ReNative allows you to bootstrap, develop and deploy apps for mobile, web, TVs, desktops, consoles, wearables, and more via a single development environment. ReNative supports standard community-driven react-native plugins you can use to enhance the functionality of your apps. ReNative allows you to build powerful multi-platform bootstrap templates. ReNative supports integrations for various services and deployment infrastructures for your apps.

AWS Neuron is a software development kit (SDK) for running machine learning inference using AWS Inferentia chips. It consists of a compiler, run-time, and profiling tools that enable developers to run high-performance and low latency inference using AWS Inferentia-based Amazon EC2 Inf1 instances. Using Neuron developers can easily train their machine learning models on any popular framework such as TensorFlow, PyTorch, and MXNet, and run it optimally on Amazon EC2 Inf1 instances. You can...

...It is distributed between this GitHub repository and FPGA Developer AMI - Centos/AL2 provided by AWS with no cost of development tools. After creating an FPGA design (also called CL - Custom logic), developers can create an Amazon FPGA Image (AFI) and easily deploy it to an F1 instance. AFIs are reusable, shareable and can be deployed in a scalable and secure way. Development experience leverages an optimized compiler to allow easy new accelerator development or migration of existing C/C++/openCL, Verilog/VHDL to AWS FPGA instances. Fully custom hardware development experience provides hardware developers with the tools required for developing AFIs for AWS FPGA instances.