Clara Parabricks Pipelines were built to optimize acceleration, accuracy, and scalability.
#Ubuntu 18.04 cuda 9.2 software#
Browse NVIDIA Clara Parabricks PipelinesĬlara Parabricks is a complete software solution for next-generation sequencing, including short- and long-read applications, supporting workflows that start with basecalling and extend through tertiary analysis. NVIDIA Clara Holoscan is a hybrid computing platform for medical devices that combines hardware systems for low-latency sensor and network connectivity, optimized libraries for data processing and AI, and core microservices to run surgical video, ultrasound, medical imaging, and other applications anywhere, from embedded to edge to cloud. NVIDIA Clara is an open, scalable computing platform that enables developers to build and deploy medical imaging applications into hybrid (embedded, on-premises, or cloud) computing environments to create intelligent instruments and automate healthcare workflows. NVIDIA Topology-Aware GPU Selection (NVTAGS) intelligently and automatically assigns GPUs to MPI processes, which reduces overall GPU-to-GPU communication time for Message Passing Interface (MPI) applications. NVIDIA System Management is a software framework for monitoring server nodes, such as NVIDIA DGX servers, in a data center. NVIDIA Data Center GPU Manager (DCGM) is a suite of tools for managing and monitoring NVIDIA Data Center GPUs in cluster environments. Documentation includes release notes, supported platforms, and cluster setup and deployment.
#Ubuntu 18.04 cuda 9.2 drivers#
NVIDIA Data Center GPU drivers are used in Data Center GPU enterprise deployments for AI, HPC, and accelerated computing workloads. NVIDIA cloud-native technologies enable developers to build and run GPU-accelerated containers using Docker and Kubernetes. NVIDIA Virtual Reality Capture and Replay (VCR) SDKĭocumentation for managing and running containerized GPU applications in the data center using Kubernetes, Docker, and LXC.
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