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Showing 46–54 of 83 results
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NVIDIA DGX B200 AI Supercomputer
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The NVIDIA DGX B200 is an enterprise-scale AI supercomputer built on the NVIDIA Blackwell architecture, combining 8 NVIDIA B200 Tensor Core GPUs, 1.44TB of total HBM3e GPU memory, fifth-generation NVLink technology, high-speed NVIDIA ConnectX-7 networking, BlueField-3 DPUs, and dual Intel Xeon Platinum processors. Designed as a complete AI infrastructure platform, DGX B200 is optimized for large-scale AI training, fine-tuning, inference, generative AI, high-performance computing (HPC), and advanced data analytics.
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NVIDIA DGX H100 AI Supercomputer
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The NVIDIA DGX H100 is an enterprise-class AI supercomputer designed for large-scale artificial intelligence, generative AI, deep learning, high-performance computing (HPC), data analytics, and large language model workloads.
Powered by 8 NVIDIA H100 Tensor Core GPUs, DGX H100 provides 640GB of total GPU memory, connected through NVIDIA’s fourth-generation NVLink and NVSwitch architecture. The system delivers up to 32 PFLOPS of FP8 AI performance and provides high-bandwidth networking through NVIDIA ConnectX-7 adapters.
The system combines GPU acceleration, dual Intel Xeon processors, 2TB of system memory, high-speed NVMe storage, ConnectX-7 networking, NVSwitch fabric, and NVIDIA’s optimized DGX software stack into a fully integrated AI infrastructure platform.
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NVIDIA DGX Spark Personal AI Supercomputer
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The NVIDIA DGX Spark is a compact personal AI supercomputer built around the NVIDIA GB10 Grace Blackwell Superchip, combining a 20-core Arm CPU, Blackwell GPU architecture, 128GB of coherent unified LPDDR5x memory, high-speed ConnectX-7 networking, and NVIDIA’s full AI software ecosystem in a small desktop system.
With up to 1 PFLOP of FP4 AI performance, 6,144 CUDA cores, fifth-generation Tensor Cores, and 128GB of unified CPU/GPU memory, DGX Spark is designed to bring advanced AI development, inference, fine-tuning, data science, and generative AI workloads directly to the desktop.
The system supports local AI model development and inference for models of up to approximately 200 billion parameters, making it particularly attractive for AI developers, researchers, data scientists, engineers, and organizations that want local AI computing without depending entirely on cloud infrastructure.
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NVIDIA GH200 Grace Hopper Superchip – 96GB HBM3 AI & HPC Accelerator
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The NVIDIA GH200 Grace Hopper Superchip combines a 72-core NVIDIA Grace Arm CPU with an NVIDIA Hopper GPU featuring 96GB HBM3 in a tightly integrated heterogeneous computing platform. Connected through 900GB/s coherent NVLink-C2C, GH200 provides a unified CPU-GPU memory architecture designed for large-scale AI, generative AI, high-performance computing, scientific computing, and data-intensive workloads.
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NVIDIA HGX B200 NVL8
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The NVIDIA HGX B200 NVL8 is a high-density 8-GPU AI and high-performance computing platform built around eight NVIDIA Blackwell B200 Tensor Core GPUs connected through a high-bandwidth NVIDIA NVLink/NVSwitch fabric. With 1.44TB of aggregate HBM3e GPU memory, up to 64TB/s of aggregate GPU memory bandwidth, and up to 1.8TB/s GPU-to-GPU bandwidth, HGX B200 NVL8 is engineered for large-scale generative AI, deep learning, LLM training and inference, scientific computing, and enterprise AI infrastructure.
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NVIDIA L4 24GB – Ada Lovelace Data Center GPU
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The NVIDIA L4 24GB is a compact, energy-efficient data-center GPU designed for AI inference, video processing, graphics virtualization, professional visualization, and cloud computing.
Built on the NVIDIA Ada Lovelace architecture, the L4 features 7,424 CUDA cores, 58 fourth-generation Tensor Cores, 24 third-generation RT Cores, and 24GB of ECC-protected GDDR6 memory. Its 300GB/s memory bandwidth and exceptionally low 72W maximum power consumption make it well suited to high-density servers and edge deployments.
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NVIDIA L40 48GB – Ada Lovelace Data Center GPU
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The NVIDIA L40 48GB is a high-performance data-center accelerator built on the NVIDIA Ada Lovelace architecture. It combines 18,176 CUDA cores, 568 fourth-generation Tensor Cores, 142 third-generation RT Cores, and 48GB of ECC-protected GDDR6 memory.
With 864GB/s memory bandwidth, PCIe 4.0 x16 connectivity, and a 300W maximum board power, the L40 is designed for enterprise AI, inference, professional visualization, 3D rendering, virtual workstations, simulation, and GPU-accelerated computing.
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NVIDIA L40S 48GB – Ada Lovelace Data Center GPU
Read more The NVIDIA L40S is a high-performance data-center GPU built on the NVIDIA Ada Lovelace architecture, designed for accelerated AI, generative AI, large language model inference and training, 3D rendering, professional visualization, and video processing.
It features 48GB of ECC-protected GDDR6 memory, 18,176 CUDA cores, 568 fourth-generation Tensor Cores, and 142 third-generation RT Cores, with up to 864GB/s memory bandwidth. The L40S combines AI acceleration with professional graphics and media capabilities in a data-center optimized form factor.
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NVIDIA RTX 5000 Ada Generation 32GB – Professional Workstation GPU
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The NVIDIA RTX 5000 Ada Generation is a professional workstation graphics and compute accelerator based on the NVIDIA Ada Lovelace architecture. It combines 12,800 CUDA cores, 400 fourth-generation Tensor Cores, and 100 third-generation RT Cores with 32GB of ECC-protected GDDR6 memory.
With 576GB/s memory bandwidth, PCIe 4.0 x16 connectivity, 250W total board power, and four DisplayPort 1.4a outputs, the RTX 5000 Ada is designed for demanding professional applications including AI, 3D rendering, CAD, engineering simulation, visualization, video production, and scientific computing.
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