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NVIDIA RTX PRO 4500 Blackwell Server Edition GPU
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NVIDIA RTX PRO 4500 Blackwell Server Edition GPU

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SKU: RTX-PRO-4500BSE
50150076000034% OFF
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  • Powered by the revolutionary NVIDIA Blackwell architecture for superior energy efficiency and multi-workload acceleration.
  • Features 32GB of high-speed GDDR7 memory to handle complex AI models, large datasets, and demanding creative workflows.
  • Delivers up to 50x higher performance for vector databases and 100x for vision AI compared to CPU-only systems.
  • Compact 165W single-slot design optimized for data center, edge, and cloud infrastructure deployments.
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Key Points

  • Fifth-generation Tensor Cores with support for FP4 precision and DLSS 4.
  • Fourth-generation RT Cores for advanced ray-traced rendering and 3D design.
  • Multi-Instance GPU (MIG) support for creating two isolated 16GB instances.
  • Ninth-generation NVENC and sixth-generation NVDEC engines for professional video processing.
  • PCIe Gen 5 interface providing double the bandwidth of previous generations.
  • Optimized for AI inference, data science, and high-end visual computing.

The NVIDIA RTX PRO 4500 Blackwell Server Edition is a high-performance, energy-efficient accelerator engineered for the modern enterprise. Built on the groundbreaking Blackwell architecture, this GPU provides the versatility needed to tackle diverse workloads, ranging from AI inference and data science to complex video processing and industrial-grade visual computing. Its single-slot, 165W form factor ensures it fits seamlessly into existing data center and edge computing environments, offering a significant performance leap over traditional CPU-based systems.

Equipped with 32GB of cutting-edge GDDR7 memory and fifth-generation Tensor Cores, the RTX PRO 4500 Blackwell excels at turning massive, multimodal enterprise data into actionable AI insights. Whether you are optimizing vector index builds, deploying vision AI agents, or rendering photorealistic 3D scenes, this GPU delivers the throughput and reliability required for professional-grade applications. With support for Multi-Instance GPU (MIG) technology, administrators can partition the hardware into two fully isolated 16GB instances, maximizing resource utilization and quality of service for multiple users.

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