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Nvidia Manuals & User Guides

NVIDIA inyanzvi mukugadzira komputa nekukurumidza, inozivikanwa zvikuru nekugadzira GPU, kugadzira makadhi emifananidzo anoshanda zvakanyanya, mhinduro dzeAI, uye mapuratifomu evagadziri vepamusoro akadai saJetson neDRIVE.

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Nvidia Tsigiro

Nzvimbo yepamutemo: https://www.nvidia.com/en-us/
General support: https://www.nvidia.com/en-us/support/
Warranty & kunyoresa: Warranty info · Bhalisa chigadzirwa
Runhare rwekutsigira: +1-408-486-2000
Fomu rekuonana: Bata rutsigiro rwemugadziri

Nvidia zvinyorwa

Mazuvano mabhuku kubva manuals+ yakarongedzwa kune iyi brand.

NVIDIA TensorRT Support Matrix v4.0.1 - Platform and Layer Compatibility

Support Guide

Comprehensive support matrix for NVIDIA TensorRT version 4.0.1, detailing compatibility across platforms (Linux, Android, QNX) and software versions (CUDA, cuDNN), along with a detailed breakdown of supported features for each…

NVIDIA TensorRT Support Matrix v8.2.2

Tsigira Matrix

Comprehensive support matrix for NVIDIA TensorRT v8.2.2, detailing supported platforms, software versions, hardware, layers, and precision modes for AI and deep learning applications.

NVIDIA MLNX_EN Zvinyorwa v24.10-3.2.5.0 LTS: Gwaro reMutyairi weEthernet Anoshanda Zvakanyanya

User Manual

Ongorora magwaro eNVIDIA MLNX_EN Linux driver (v24.10-3.2.5.0 LTS). Gwaro iri rinotsanangura nezvekuiswa, magadzirirwo, uye maficha epamusoro eConnectX neBlueField network adapters, akakosha kumapurogiramu eEthernet neInfiniBand anoshanda zvakanyanya.

NVIDIA MLNX_EN Documentation v5.8-5.1.1.2 LTS - User Manual & Release Notes

User Manual

Explore the NVIDIA MLNX_EN Documentation v5.8-5.1.1.2 LTS, a comprehensive guide for Linux drivers and software for NVIDIA's ConnectX® EN family network adapters. Learn about installation, configuration, features, supported hardware, and…

NVIDIA AI Enterprise User Guide: Kuisa, Kugadzirisa, uye Kutungamira

mushandisi gwara

Yakakwana mushandisi gwara reNVIDIA AI Enterprise, inotsanangura kuisirwa, kumisikidzwa, uye manejimendi yeNVIDIA vGPU, AI masisitimu, uye zvikamu zvesoftware pane akasiyana hypervisors uye masisitimu anoshanda.

NVIDIA AI Enterprise User Guide: GPU Virtualization, Deployment, uye Management

User Guide

Comprehensive user guide for NVIDIA AI Enterprise, detailing installation, configuration, and management of AI and data analytics workloads on virtualized GPU environments. Covers vGPU, Kubernetes, VMware vSphere, and Red Hat…

NVIDIA TensorRT Quick Start Guide: Optimize Deep Learning Inference

Quick Start Guide

This NVIDIA TensorRT Quick Start Guide (v8.4.0 EA) provides essential instructions for optimizing deep learning models for high-performance inference. Learn how to install NVIDIA TensorRT, understand conversion and deployment workflows…

NVIDIA Jetson Orin NX/Nano BOM Addition of DRAM - Product Change Notice

Chigadzirwa Chekuchinja Chiziviso

Product Change Notice (PCN212822) from NVIDIA regarding the addition of Micron DRAM (MT62F512M64D2EK-023 WT:E) to the manufacturing Bill of Materials (BOM) for NVIDIA Jetson Orin NX and Nano modules, ensuring…

NVIDIA DOCA Pipeline Language Services Guide: Programming Network Data Planes

Chirongwa Chekugadzirisa

Explore the NVIDIA DOCA Pipeline Language (DPL) Services Guide. Learn how to program network data planes on NVIDIA BlueField DPUs using DPL, a domain-specific language derived from P4-16, for enhanced…

CUDA Runtime API Reference Manual

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Comprehensive reference manual for the NVIDIA CUDA Runtime API, detailing functions for GPU computing, device management, memory operations, stream synchronization, and more. Version January 2022.

Offre Borderlands 4 GeForce RTX Série 50 - Guide d'activation

Guide

Apprenez comment activer votre code promotionnel pour Borderlands 4 via GeForce Experience et Steam lors de l'achat d'une carte graphique GeForce RTX série 50 éligible. Suivez les étapes simples pour…

Nzira dzekudzidza dzeNVIDIA: AI, Kudzidza Zvakadzama, Sainzi yeData, nezvimwe

Training Catalog Guide

Tsvaga nzira dzekudzidza dzakakwana dzeNVIDIA dzinosanganisira AI, Deep Learning, Data Science, Accelerated Computing, Cybersecurity, Robotics, Networking, nezvimwe. Tsvaga makosi anokubatsira iwe pachako, maworkshop anotungamirwa nevadzidzisi, uye zvitupa zvevagadziri nevatungamiriri.