NVIDIA RTX Pro 6000 Blackwell 96GB

The NVIDIA RTX Pro 6000 Blackwell 96GB is NVIDIA's most powerful professional workstation GPU, built on the NVIDIA Blackwell architecture and engineered to meet the demanding requirements of enterprise AI, data science, simulation, and professional visualization workloads. With 96 GB of ECC-protected GDDR7 memory and a 512-bit memory bus, it delivers exceptional memory bandwidth and capacity for processing large datasets, complex 3D scenes, and multi-model AI inference tasks simultaneously. The card supports PCIe 5.0 and is designed for full-length, full-height workstation form factors used in enterprise tower and rack workstations.

Leveraging Blackwell-generation NVIDIA CUDA cores, fifth-generation Tensor Cores, and fourth-generation RT Cores, the RTX Pro 6000 accelerates the full enterprise workload spectrum — from generative AI model fine-tuning and large language model inference to photorealistic rendering with real-time ray tracing and high-fidelity digital twin simulation. The Tensor Cores support FP4, FP8, FP16, BF16, TF32, and FP64 precisions, providing the numerical flexibility required for both training-adjacent fine-tuning tasks and precision-sensitive scientific computing applications.

As a Supermicro-catalogued GPU, the RTX Pro 6000 Blackwell 96GB (part number 900-5X172-2540-000) is positioned for integration into Supermicro's workstation and server platforms serving enterprise IT departments, AI research teams, content production studios, and engineering organizations across the UAE, GCC, EMEA, and APAC regions. Its professional driver ecosystem, ISV certifications, and ECC memory make it a reliable foundation for mission-critical enterprise deployments where data integrity and application stability are non-negotiable.

Ideal for

• Generative AI and large language model fine-tuning and inference on-premises, leveraging 96 GB of ECC GDDR7 memory to run multi-billion parameter models without memory fragmentation
• High-fidelity real-time 3D visualization and digital twin rendering for architecture, engineering, and construction workflows requiring simultaneous ray tracing and rasterization
• Computational fluid dynamics, finite element analysis, and physics simulation for aerospace, automotive, and energy sector engineering teams demanding GPU-accelerated double-precision throughput
• Enterprise media and entertainment production including AI-assisted content creation, multi-stream 8K video processing, and photorealistic visual effects rendering
• Data science and machine learning model development in frameworks such as PyTorch and TensorFlow, benefiting from large unified GPU memory for complex multi-modal datasets
• Medical imaging and scientific visualization workflows requiring certified professional drivers, ECC memory reliability, and ISV application compatibility across regulated enterprise environments

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.