NVIDIA GPU
AI Computing
From professional graphics to data centers, from edge computing to AI inference, NVIDIA's full product portfolio delivers powerful compute power across industries, accelerating innovation and transformation.
Professional Graphics Card (RTX Ada/Quadro)
High-performance graphics acceleration solutions for professional visualization, CAD/CAM, 3D rendering, and AI inference.
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AI Computing / Data Center GPU
Datacenter-grade GPU products for large-scale AI training, inference, and high-performance computing
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Embedded Edge GPU (Jetson Series)
High-performance, low-power compute module for edge AI, autonomous machines, and embedded systems
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Covers AI data center accelerators, professional graphics cards, Jetson edge computing, and DGX/NVL72 systems.59Models currently on sale
AINVIDIA DGX B200
The NVIDIA DGX B200 is an enterprise-grade unified AI platform powered by 8 NVIDIA Blackwell GPUs connected via fifth-generation NVLink. It delivers 3x training performance and 15x inference performance compared to the previous-generation DGX H100, featuring FP4 compute of 144 PFLOPS (sparse) and a total GPU memory of 1,440GB HBM3e. Designed to support diverse workloads—including large language models, recommendation systems, and chatbots—it serves as the foundational building block for DGX BasePOD and DGX SuperPOD solutions. Preloaded with the NVIDIA AI software stack, it enables end-to-end AI transformation from development to deployment.
AINVIDIA DGX B300
The NVIDIA DGX B300 is an AI infrastructure platform designed for generative AI and large model inference. It features 8 NVIDIA Blackwell Ultra SXM GPUs, delivering up to 144 PFLOPS of FP4 inference performance and 2.1 TB of total GPU memory. Compared to the DGX B200, it offers 1.5× denser FP4 compute performance and 2× faster attention processing. The new 10U chassis supports deployment in NVIDIA MGX racks for the first time, with AC/DC power options and pre-installed NVIDIA AI Enterprise full-stack software—enabling enterprises to run AI workloads at the scale of hyperscale cloud providers.
RTX Ada/QuadroNVIDIA RTX PRO 6000 Blackwell Server Edition
The NVIDIA RTX PRO 6000 Blackwell Server Edition is a professional GPU built on the Blackwell architecture for enterprise data centers. It features 96GB of GDDR7 ECC memory and fifth-generation Tensor Cores, delivering up to 4 PFLOPS of FP4 performance and a maximum power draw of 600W (configurable). Available in air-cooled dual-slot and liquid-cooled single-slot form factors, it is optimized for enterprise AI, professional graphics rendering, and data center visualization workloads.
JetsonNVIDIA Jetson AGX Thor T5000
High-performance Jetson modules for humanoid robots, autonomous mobile robots, and industrial edge AI. Featuring Blackwell GPU architecture with 2070 TFLOPS FP4 sparse compute, 128GB LPDDR5X memory, and configurable power from 40 to 130W. Ideal for multi-sensor fusion, real-time inference, and complex robot control.
GeForceNVIDIA GeForce RTX 5090
Flagship gaming GPU built on Blackwell architecture, featuring 21760 CUDA cores and 32GB of GDDR7 memory, delivering 3352 AI TOPS. Supports DLSS 4 frame generation and full-ray tracing for 4K high-frame-rate gaming and intensive creative workloads.
AINVIDIA DGX GB300
The NVIDIA DGX GB300 is a rack-scale liquid-cooled AI system built on the NVIDIA Grace Blackwell Ultra superchip. It integrates 72 Blackwell Ultra GPUs and 36 Grace CPUs, delivering 2,592 Arm Neoverse V2 cores, up to 20TB of GPU memory (with bandwidth up to 576TB/s), and 37TB of total fast memory. With FP4 Tensor Core performance reaching 1440 PFLOPS (sparse), it offers up to 1.5x denser FP4 performance and 2x faster attention mechanisms compared to the DGX GB200. Designed with the NVIDIA MGX chassis, the DGX GB300 can scale to thousands of nodes when combined with DGX SuperPOD. Preloaded with NVIDIA Mission Control and AI Enterprise software, it is optimized for large model training, post-training, and test-time inference.
RTX Ada/QuadroNVIDIA RTX PRO 5000 Blackwell
The NVIDIA RTX PRO 5000 Blackwell is a professional GPU based on the Blackwell architecture, featuring 48GB of GDDR7 ECC memory (with a 72GB variant available). It includes fifth-generation Tensor Cores and fourth-generation RT Cores, supports FP4 precision and DLSS 4, and features a 300W dual-slot design. Ideal for AI development and inference, data science, 3D rendering, and engineering simulation, it can be deployed in workstations and servers.
GeForceNVIDIA GeForce RTX 5080
Blackwell architecture high-end gaming GPU with 10752 CUDA cores, 16GB GDDR7 VRAM, and 1801 AI TOPS for 4K gaming and content creation acceleration.
AINVIDIA Vera Rubin NVL72
NVIDIA Vera Rubin NVL72 is a rack-scale agent AI supercomputer that unifies 72 NVIDIA Rubin GPUs, 36 NVIDIA Vera CPUs, NVIDIA ConnectX-9 SuperNICs, and BlueField-4 DPUs on a single platform. It scales vertically via sixth-generation NVLink and NVLink Switch, and horizontally through Quantum-X800 InfiniBand and Spectrum-X Ethernet. Built on the third-generation MGX NVL72 rack design with a cable-free modular tray architecture, it reduces GPU requirements for AI training to one-quarter of Blackwell's and lowers inference costs per million tokens to one-tenth.
JetsonNVIDIA Jetson AGX Orin 64GB
High-performance module for robotics, intelligent video analytics, and edge AI. Delivers 275 TOPS sparse INT8 compute, 64GB LPDDR5 memory, and configurable power from 15-60W. Ideal for multi-camera setups, SLAM, path planning, and real-time inference.
GeForceNVIDIA GeForce RTX 5070 Ti
Blackwell architecture high-performance GPU with 8960 CUDA cores and 16GB GDDR7 VRAM, delivering 1406 AI TOPS for 2K and 4K high-frame-rate gaming.
RTX Ada/QuadroNVIDIA RTX PRO 4500 Blackwell Server Edition
NVIDIA RTX PRO 4500 Blackwell Server Edition is a single-slot, passive-cooled professional GPU built on the Blackwell architecture, featuring 32GB GDDR7 memory, 165W power consumption, 1.6 FP4 performance in PFLOPS, and support for up to 2 MIG instances. Ideal for enterprise AI inference, visual computing, and high-density data center deployments.
Architectures
NVIDIA Core Architecture: Powering the Next Generation of AI and Accelerated Computing
NVIDIA Vera Rubin
NVIDIA Vera Rubin is built for next-generation AI supercomputing and agentic AI inference. With the exceptional co-design of seven chips, Vera Rubin offers flexible deployment options while significantly reducing token costs for training and inference, dramatically lowering total AI deployment costs.
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NVIDIA Blackwell
NVIDIA Blackwell is defining the next chapter of generative AI and accelerated computing with higher performance, efficiency, and scalability. It features six transformative technologies that deliver breakthroughs in data processing, electronic design automation (EDA), computer-aided engineering (CAE), and quantum computing.
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NVIDIA MGX
NVIDIA MGX is a modular reference architecture that supports hundreds of GPU, CPU, storage, and network combinations to accelerate AI, high-performance computing, and NVIDIA Omniverse workloads.
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NVIDIA STX
By leveraging the NVIDIA Vera Rubin architecture, BlueField-4, and Spectrum-X networking, NVIDIA STX modular infrastructure serves as the foundation for building a universal data engine, accelerating the complete AI lifecycle from training to analysis to real-time agent inference.
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NVIDIA Platform Solutions: From DGX to Spectrum-X, Building a Complete AI Infrastructure
NVIDIA DGX
Built on enterprise AI foundations, the NVIDIA DGX platform integrates NVIDIA GPUs, NVLink networking, and a fully optimized AI and high-performance computing software stack to deliver peak application performance and fastest data insights. It provides modern, unified AI development solutions for every data center—from cloud to on-premises.
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NVIDIA HGX
The NVIDIA HGX platform integrates NVIDIA GPUs, NVLink networking, and a fully optimized AI and high-performance computing (HPC) software stack to deliver peak application performance and accelerate data insights.
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NVIDIA Spectrum-X Ethernet
NVIDIA Spectrum-X Ethernet networking delivers peak performance for AI in data centers. It interconnects compute structures within a single data center and extends across multiple AI data centers via Spectrum-X DS Ethernet technology to create an AI superfactory capable of supporting trillions of parameters.
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NVIDIA RTX PRO
NVIDIA RTX PRO servers leverage our global system partner ecosystem to unlock the breakthrough performance and energy efficiency of NVIDIA Blackwell architecture. This empowers enterprises to build AI factories, accelerating a wide range of workloads—from agentic AI and LLM inference to industrial AI and digital twins.
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NVIDIA GPU Computing Power Powers Industries Across the Board
AI Training and Inference
Large-scale Deep Learning Model Training and Efficient Inference Deployment
Data Center
High-performance computing cluster supporting cloud computing and big data analytics
Data Storage
High-Speed Data Processing and Storage Acceleration Solutions
Industrial Automation
Smart Manufacturing, Machine Vision, and Production Line Quality Inspection
Smart Manufacturing
Digital Twin, Simulation Optimization, and Production Line Collaboration
Research & Education
University Labs, AI Education, and Scientific Computing
Smart Logistics
Autonomous Driving, Warehouse Robotics, and Path Optimization
Medical Imaging
AI-Assisted Diagnosis, Image Reconstruction, and Analysis
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