The NVIDIA DGX GB300 is a rack-scale AI supercomputer designed for enterprise-scale AI workloads.It integrates 72 NVIDIA Blackwell Ultra GPUs and 36 Grace CPUs, delivering up to 1,400 petaFLOPS of FP4 AI performance.The system features 20.1 TB of HBM3e GPU memory and a total of 37.9 TB of fast memory.Each GPU is connected via NVIDIA ConnectX-8 VPI networking, providing 800 Gb/s InfiniBand connectivity.
The NVIDIA DGX H200 is a state-of-the-art AI system engineered for large-scale generative AI and high-performance computing (HPC) workloads.It integrates eight NVIDIA H200 Tensor Core GPUs, each equipped with 141 GB of HBM3e memory, totaling 1,128 GB of GPU memory.This configuration delivers up to 32 petaFLOPS of FP8 performance.The system is powered by dual Intel Xeon Platinum 8480C processors, offering 112 cores in total, and supports 2 TB of DDR5 system memory.
The NVIDIA DGX Spark is a compact AI supercomputer powered by the NVIDIA GB10 Grace Blackwell Superchip.It delivers up to 1,000 AI TOPS (Tera Operations Per Second) of FP4 performance, making it suitable for tasks such as fine-tuning, inference, and prototyping of large AI models with up to 200 billion parameters.The system features 128 GB of unified LPDDR5x memory with a 256-bit interface and 273 GB/s memory bandwidth.Storage options include 1 TB or 4 TB NVMe M.2 SSDs with self-encryption
The NVIDIA DGX Station is a powerful AI workstation designed to bring data center-level AI performance to office environments.It features four NVIDIA Tesla V100 GPUs, each with 16GB of HBM2 memory, providing a total of 64GB of GPU memory.The system is powered by an Intel Xeon E5-2698 v4 processor with 20 cores, delivering exceptional computational capabilities.With 256GB of DDR4 system memory and a storage configuration of 3x 1.92TB SSDs in RAID 0 for data and 1x 1.92TB SSD for the operating system, the DGX Station ensures fast data access and processing.
The NVIDIA GB200 Grace Blackwell Superchip integrates two Blackwell B200 Tensor Core GPUs with a Grace CPU via a 900 GB/s NVLink-C2C interconnect.This configuration delivers up to 40 PFLOPS of FP4 AI performance, 20 PFLOPS of FP8/FP6, and 10 PFLOPS of FP16/BF16, with 384 GB of HBM3e GPU memory offering 16 TB/s bandwidth.The Grace CPU, featuring 72 Arm Neoverse V2 cores, supports up to 480 GB of LPDDR5X memory with 512 GB/s bandwidth.
The NVIDIA GB200 NVL72 is a rack-scale, liquid-cooled AI supercomputer that integrates 36 Grace CPUs and 72 Blackwell GPUs, interconnected via fifth-generation NVLink, delivering 130 TB/s of GPU communication bandwidth.It provides up to 1,440 PFLOPS of FP4 AI performance and supports up to 13.5 TB of HBM3e GPU memory with 576 TB/s bandwidth.
The NVIDIA GB300 NVL72 is a fully liquid-cooled, rack-scale AI supercomputer that integrates 72 NVIDIA Blackwell Ultra GPUs and 36 NVIDIA Grace CPUs.This configuration delivers up to 1,400 PFLOPS of FP4 AI performance, with 21 TB of HBM3e GPU memory providing 576 TB/s bandwidth.
The NVIDIA GeForce RTX 3050 Laptop GPU is built on the Ampere architecture and manufactured using Samsung's 8nm process.It features 2048 CUDA cores, 64 Tensor Cores (3rd Generation), and 16 RT Cores (2nd Generation).The GPU operates at base clock speeds ranging from 712 MHz to 1530 MHz and boost clock speeds between 1057 MHz and 1740 MHz, depending on the specific laptop configuration.It is equipped with 4 GB of GDDR6 memory on a 128-bit bus, delivering a memory bandwidth of up to 192 GB/s.
The NVIDIA GeForce RTX 3050 Ti Laptop GPU is built on the Ampere architecture and manufactured using Samsung's 8nm process.It features 2560 CUDA cores, 80 Tensor Cores (3rd Generation), and 20 RT Cores (2nd Generation).The GPU operates at base clock speeds ranging from 735 MHz to 1463 MHz and boost clock speeds between 1035 MHz and 1695 MHz, depending on the specific laptop configuration.
The NVIDIA GeForce RTX 3060 Laptop GPU is built on the Ampere architecture and manufactured using Samsung's 8nm process.It features 3840 CUDA cores, 120 Tensor Cores (3rd Generation), and 30 RT Cores (2nd Generation).The GPU operates at base clock speeds ranging from 816 MHz to 1387 MHz and boost clock speeds between 1283 MHz and 1703 MHz, depending on the specific laptop configuration.
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.