Search Results for "network development platforms"

...It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. 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. ...

ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators...

...Node.js is widely used for backend development, real-time applications, and microservices architectures.

workerd is the server runtime that powers Cloudflare Workers — a modern, standards-aligned JavaScript and WebAssembly execution environment that can be run outside of Cloudflare’s global edge network as a standalone server or proxy. Designed to host serverless applications written to the Workers platform API (including fetch() and Web standard libraries), workerd enables developers to self-host edge-style workloads in local data centers or development environments, or to test Workers code offline before deploying to the cloud. ...