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NVIDIA supercomputers and professional graphics cards represent the pinnacle of modern computing power. Designed for artificial intelligence (AI), deep learning, high-performance computing (HPC), 3D rendering, and scientific visualization, NVIDIA systems combine performance, energy efficiency, and exceptional scalability.
NVIDIA RTX™, A-series, and Tesla™ graphics cards incorporate advanced architectures such as Ampere, Ada Lovelace, and Hopper, offering thousands of CUDA® and Tensor Cores to accelerate AI, graphics, and intensive computing workloads.
NVIDIA DGX™ supercomputers, on the other hand, are complete platforms integrating multiple high-performance GPUs (such as the H100, A100, and L40S) connected by NVLink® and InfiniBand interconnects, ensuring massive bandwidth and minimal latency.
Key Benefits:
Massive parallel computing for AI model training and inference;
Performance optimization through the NVIDIA AI Enterprise software stack and CUDA Toolkit;
Proven reliability and compatibility for data center, research lab, and private cloud environments;
Comprehensive support for AI frameworks: TensorFlow, PyTorch, JAX, etc.
NVIDIA solutions are available in a wide range:
GPU Cards: RTX 4000 Ada, RTX 6000 Ada, A100, H100, L40S;
Workstations: NVIDIA RTX™, OVX, DGX Station;
Supercomputers: DGX A100, DGX H100, DGX Cloud systems.
With NVIDIA technologies, you get unparalleled acceleration for your data science, simulation, graphics rendering, and predictive analytics applications.
NVIDIA RTX™, A-series, and Tesla™ graphics cards incorporate advanced architectures such as Ampere, Ada Lovelace, and Hopper, offering thousands of CUDA® and Tensor Cores to accelerate AI, graphics, and intensive computing workloads.
NVIDIA DGX™ supercomputers, on the other hand, are complete platforms integrating multiple high-performance GPUs (such as the H100, A100, and L40S) connected by NVLink® and InfiniBand interconnects, ensuring massive bandwidth and minimal latency.
Key Benefits:
Massive parallel computing for AI model training and inference;
Performance optimization through the NVIDIA AI Enterprise software stack and CUDA Toolkit;
Proven reliability and compatibility for data center, research lab, and private cloud environments;
Comprehensive support for AI frameworks: TensorFlow, PyTorch, JAX, etc.
NVIDIA solutions are available in a wide range:
GPU Cards: RTX 4000 Ada, RTX 6000 Ada, A100, H100, L40S;
Workstations: NVIDIA RTX™, OVX, DGX Station;
Supercomputers: DGX A100, DGX H100, DGX Cloud systems.
With NVIDIA technologies, you get unparalleled acceleration for your data science, simulation, graphics rendering, and predictive analytics applications.
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