The NVIDIA GeForce RTX 5070 Laptop GPU is engineered for high-performance gaming and creative applications.Built on the Blackwell architecture, it features 4,608 CUDA cores and delivers up to 798 AI TOPS.Equipped with 8 GB of GDDR7 memory on a 192-bit interface, it offers substantial bandwidth for intensive tasks.
The NVIDIA GeForce RTX 5070 Ti Laptop GPU is engineered for high-performance gaming and creative applications.Built on the Blackwell architecture, it features 5,888 CUDA cores and delivers up to 992 AI TOPS.Equipped with 12 GB of GDDR7 memory on a 192-bit interface, it offers substantial bandwidth for intensive tasks.
The NVIDIA GeForce RTX 5080 Laptop GPU is engineered for high-performance gaming and creative applications.Built on the Blackwell architecture, it features 7,680 CUDA cores and delivers up to 1,334 AI TOPS.Equipped with 16 GB of GDDR7 memory on a 256-bit interface, it offers substantial bandwidth for intensive tasks.The GPU supports advanced technologies such as DLSS 4, fourth-generation ray tracing cores, and fifth-generation tensor cores.
The NVIDIA GeForce RTX 5090 Laptop GPU is a high-performance mobile graphics processor built on the Blackwell architecture.It features 10,496 CUDA cores, 82 fourth-generation RT Cores, and 328 fifth-generation Tensor Cores.Equipped with 24 GB of GDDR7 memory on a 256-bit interface, it delivers a memory bandwidth of 896 GB/s.The GPU operates at a base clock of 990 MHz, boosting up to 1,515 MHz, and has a power consumption of 175 W.
The NVIDIA GH200 Grace Hopper Superchip integrates a 72-core Arm Neoverse V2 Grace CPU with an H100 Tensor Core GPU via a 900 GB/s NVLink-C2C interconnect.This configuration delivers up to 4 PFLOPS of AI performance, with 96 GB of HBM3 GPU memory offering 4 TB/s bandwidth and up to 480 GB of LPDDR5X CPU memory with 500 GB/s bandwidth.The GH200 Superchip is designed for large-scale AI and HPC applications, providing a unified memory architecture and enhanced energy efficiency.
The NVIDIA GH200 NVL2 Grace Hopper Superchip integrates two GH200 Superchips via NVLink, combining 144 Arm Neoverse V2 CPU cores and two Hopper GPUs.This configuration delivers up to 8 PFLOPS of AI performance, with 288 GB of HBM3e GPU memory offering 10 TB/s bandwidth and up to 960 GB of LPDDR5X CPU memory.The GH200 NVL2 is designed for compute- and memory-intensive workloads, providing 3.5× more GPU memory capacity and 3× more bandwidth than the NVIDIA H100 Tensor Core GPU in a single server.
The NVIDIA HGX B200 Blackwell Platform is a high-performance, rack-scale AI infrastructure solution designed for large-scale machine learning and data center applications. It features NVIDIA Blackwell B200 GPUs, up to 1.44 TB of GPU memory, and advanced networking with 400 Gb/s connectivity. Powered by dual Intel Xeon Platinum processors, it delivers up to 72 petaFLOPS of FP8 training performance.
The NVIDIA HGX B300 Blackwell Platform is NVIDIA’s most powerful AI computing platform, purpose-built for trillion-parameter AI model training and real-time inference at scale. Featuring 16 Blackwell Ultra GPUs interconnected via 5th-Gen NVLink delivering 1.8 TB/s of GPU-to-GPU bandwidth, it supports up to 2.3 TB of high-speed HBM3e memory.
The NVIDIA HGX H200 is a high-performance computing platform designed for AI training and inference, as well as high-performance computing (HPC) workloads.It features the NVIDIA H200 Tensor Core GPU, built on the Hopper architecture.This platform offers substantial improvements in computational power, memory bandwidth, and interconnect capabilities compared to its predecessors.
The NVIDIA IGX Orin 500 is an industrial-grade edge AI platform designed for mission-critical applications in sectors such as healthcare, transportation, and industrial automation.It combines high-performance computing with advanced functional safety and security features.Powered by the NVIDIA Orin SoC, it integrates a 12-core Arm Cortex-A78AE CPU and a 2048-core NVIDIA Ampere architecture GPU with 64 Tensor Cores, delivering up to 1705 TOPS of AI performance.
Les supercalculateurs NVIDIA et les cartes graphiques professionnelles représentent le sommet de la puissance de calcul moderne. Conçus pour les domaines de l’intelligence artificielle (IA), du deep learning, du HPC (High Performance Computing), du rendu 3D et de la visualisation scientifique, les systèmes NVIDIA combinent performance, efficacité énergétique et évolutivité exceptionnelle.
Les cartes graphiques NVIDIA RTX™, A-series et Tesla™ intègrent des architectures avancées comme Ampere, Ada Lovelace ou Hopper, offrant des milliers de cœurs CUDA® et Tensor Cores pour l’accélération des charges de travail IA, graphiques et de calcul intensif.
Les supercalculateurs NVIDIA DGX™, quant à eux, sont des plateformes complètes intégrant plusieurs GPU haute performance (comme les H100, A100 ou L40S), reliés par des interconnexions NVLink® et InfiniBand, garantissant une bande passante massive et une latence minimale.
Avantages principaux :
Calcul parallèle massif pour la formation et l’inférence de modèles IA ;
Optimisation des performances grâce à la pile logicielle NVIDIA AI Enterprise et CUDA Toolkit ;
Fiabilité et compatibilité éprouvées pour les environnements de centres de données, laboratoires de recherche et cloud privé ;
Support complet pour les frameworks IA : TensorFlow, PyTorch, JAX, etc.
Les solutions NVIDIA sont disponibles dans une large gamme :
Avec les technologies NVIDIA, vous bénéficiez d’une accélération inégalée pour vos applications de science des données, simulation, rendu graphique et analyse prédictive.