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https://catalogartifact.azureedge.net/publicartifacts/bansirllc1619470302579.nvidia_hpc_sdk_gpu_optimized_image-e34a770b-0a17-4c1e-be28-4f4aa8fd948a/image2_logo216.png

Bansir NVIDIA HPC SDK GPU-Optimized Image

بواسطة BANSIR LLC

Bansir NVIDIA HPC SDK GPU-Optimized Image. Pre-configured VM with 24/7 Support for Bansir.

Bansir NVIDIA HPC SDK GPU-Optimized Image – Pre-Configured with 24/7 Support for Bansir Accelerate your High-Performance Computing (HPC) application development with this fully pre-configured, ready-to-use virtual machine featuring the NVIDIA HPC SDK GPU-Optimized Image on a Generation 2 (Gen2) x64 architecture. This solution eliminates the complexity of manual configuration, letting your teams focus on building and deploying accelerated HPC applications from the first boot . The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries, and software tools essential for maximizing developer productivity and the performance and portability of HPC applications . It includes C, C++, and Fortran compilers that support GPU acceleration of HPC modeling and simulation applications . The image includes the NVIDIA HPC SDK Version 24.07 with NVIDIA Driver 550.90.07 , Docker-ce , NVIDIA Container Toolkit , and Azure CLI, NGC CLI, Miniconda, JupyterLab, and Git . Business Continuity & Expert Assistance: Includes specialized 24/7 Support for Bansir and round-the-clock technical support. Our team provides rapid incident resolution, proactive monitoring, and configuration advisory, minimizing downtime for your critical HPC infrastructure. Ready-to-Use: Launch and immediately begin developing HPC applications, leveraging compilers, libraries, and tools without manual installation . Key Features & Benefits: -NVIDIA HPC SDK: Comprehensive suite of compilers, libraries, and software tools for HPC . -Pre-Configured Environment: Includes NVIDIA HPC SDK, NVIDIA Driver, Docker-ce, and NVIDIA Container Toolkit . -GPU-Accelerated Compilers: Supports C, C++, and Fortran with GPU acceleration for HPC modeling and simulation . -Optimized Libraries: Includes GPU math libraries (cuBLAS, cuSOLVER, cuFFT, cuSPARSE) for optimized performance . -NVIDIA NGC Integration: Easy access to performance-validated containers, pre-trained models, and AI SDKs . -Gen2 Architecture: Faster boot, UEFI, and Secure Boot support. -Azure Optimized: Seamless integration with Azure services and infrastructure . Use Cases: -HPC Application Development for modeling and simulation . -Scientific Computing for research and engineering. -GPU-Accelerated Workloads for AI and Machine Learning. -Containers & Cloud Deployment for on-premises and cloud environments . Technical Specifications: -Software: NVIDIA HPC SDK Version 24.07 -OS: Ubuntu Server 22.04 -Architecture: x64 (AMD64) -Hypervisor Generation: Gen2 (UEFI, Secure Boot) -Included: NVIDIA Driver 550.90.07, Docker-ce 27.0.3, NVIDIA Container Toolkit, Azure CLI, NGC CLI, Miniconda, JupyterLab, Git -Support: 24/7/365 via ticketing, email, and remote assistance – Support for Bansir and 24/7 technical support included.
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