Search Results for "cpu memory usage"

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. 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,...

Aurae is on a mission to be the most loved and effective way of managing workloads on a node. Our hope is that by bringing a better set of controls to a node, we can unlock brilliant higher-order distributed systems in the future. Aurae deploys a memory-safe 1 runtime daemon, process manager, and PID-1 initialization system to remotely schedule processes, containers, and virtual machines as well as set node configurations (e.g., networking storage). Through system proportioning and enterprise workload isolation techniques, the Aurae open-source project can complement higher-order schedulers and control planes (such as Kubernetes) as Aurae supports the usage of multi-tenant workloads and enterprise identities all the way down to the socket layer.

...API for pluggable logging, metric and memory allocator. Distributed as a Node.js module, as well as supporting embed scenarios. Most of the time, there is no need to build Napa.js. When consuming Napa.js via npm install napajs, npm will first try to download the pre-build binaries for the current platform.