NVIDIA RTX PRO™ 5000 Blackwell Generation
PRODUCT DESCRIPTION
NVIDIA RTX PRO™ 5000 Blackwell Generation 48 GB GDDR7 with ECC (900-5G153-2550-000) - 3 Years Local Warranty
Next-Gen Workstation Performance with Blackwell Architecture
The NVIDIA RTX PRO 5000 Blackwell Generation is built on NVIDIA’s latest Blackwell architecture, designed specifically for professional workloads such as AI development, simulation, and high-end rendering, delivering significantly higher compute efficiency, improved scheduling, and multi-workload handling compared to previous generations.
Massive 48GB GDDR7 Memory with ECC for AI and Data Science
Equipped with 48GB of ultra-fast GDDR7 memory with ECC, this GPU is optimized for memory-intensive workloads including large language models (LLMs), data analytics, and complex simulations, allowing professionals to process large datasets and models locally without relying on expensive cloud infrastructure.
Enterprise AI and Compute Acceleration
Designed for AI workflows, the RTX PRO 5000 accelerates model training, inference, and data pipelines using CUDA-X libraries such as RAPIDS, enabling faster experimentation, visualization, and deployment of AI applications directly on workstation-class systems.
High Core Count and Bandwidth for Heavy Workloads
The GPU features up to ~14,080 CUDA cores, PCIe 5.0 support, and memory bandwidth exceeding 1.3 TB/s, providing the compute power needed for real-time ray tracing, simulation, engineering workloads, and multi-application environments, while maintaining a workstation-friendly ~300W power envelope.
Scalable and Future-Ready for Enterprise Deployment
With support for advanced features like Multi-Instance GPU (MIG), NVENC/NVDEC media engines, and multi-GPU scaling, the RTX PRO 5000 is suitable for enterprise deployment in AI labs, design studios, and engineering environments where scalability and workload isolation are critical.
Technical Specification
Architecture
• NVIDIA Blackwell architecture
• Designed for AI, simulation, rendering, and professional workloads
CUDA & Core Design
• ~14,080 CUDA cores
• 5th Gen Tensor Cores (AI acceleration)
• 4th Gen RT Cores (ray tracing)
AI Performance
• ~2000+ AI TOPS class performance
• Optimised for LLM inference, generative AI, and data science workloads
Memory (Key Highlight)
• 48GB GDDR7 VRAM with ECC
• ~1,344 GB/s memory bandwidth
• 384-bit memory interface
• Supports large AI models, datasets, and complex simulations
Compute & Workloads
• AI training & inference
• Data science / analytics pipelines
• 3D rendering, VFX, CAD, BIM
• Scientific simulations and digital twins
Multi-Instance GPU (MIG)
• Can partition GPU (e.g. 2 × 24GB workloads)
• Ideal for shared environments / virtualization
Display & Output
• 4 × DisplayPort 2.1
• Supports multi-4K / 8K workflows
Interface
• PCIe Gen5 x16
• Workstation-class add-in GPU
Power Consumption
• ~300W TDP
• Requires workstation-grade PSU & airflow
Form Factor & Cooling
• Dual-slot, full-height card
• Blower-style active cooling (enterprise airflow friendly)
Encoding / Decoding
• 3 × 9th Gen NVENC
• 3 × 6th Gen NVDEC
• AV1 / HEVC support for pro media workflows
Driver & Software Support
• NVIDIA RTX Enterprise drivers
• ISV-certified (Autodesk, SolidWorks, Adobe, etc.)
• Supports CUDA, TensorRT, Omniverse
