NVIDIA RTX 6000 Ada Generation Professional GPU 48GB GDDR6 | 900-5G133-2550-000

Brand: NVIDIA | Category: GPUs

SKU: 900-5G133-2550-000 | Part #: 900-5G133-2550-000 | MPN: 900-5G133-2550-000

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Product Overview

The NVIDIA RTX 6000 Ada Generation (Part No. 900-5G133-2550-000) is NVIDIA's most powerful single-slot professional graphics card, engineered for the most demanding enterprise and data-centre workloads. Built on the cutting-edge Ada Lovelace GPU architecture and equipped with 48GB of ECC-protected GDDR6 memory, this card delivers unprecedented compute throughput, ray-tracing performance, and AI inference capability within a single PCIe slot. Whether deployed in high-density GPU server clusters, professional visualisation suites, or AI research labs, the RTX 6000 Ada sets a new benchmark for professional GPU performance.

Key Features & Benefits

• 48GB ECC GDDR6 Memory: Massive 48GB frame buffer with Error Correcting Code (ECC) support enables handling of ultra-large datasets, complex simulation models, and multi-layer neural networks without memory bottlenecks.
• 18,176 CUDA Cores: The Ada Lovelace architecture delivers exceptional parallel compute performance, achieving up to 91.1 TFLOPS of FP32 performance for simulation, rendering, and scientific computing workloads.
• 568 Tensor Cores (4th Gen): Fourth-generation Tensor Cores deliver up to 1457.9 TOPS of AI performance, accelerating deep learning training and inference tasks for enterprise AI pipelines.
• 240 RT Cores (3rd Gen): Third-generation Ray Tracing Cores enable physically accurate real-time rendering at 609.7 TFLOPS, critical for architectural visualisation, virtual production, and simulation environments.
• PCIe 4.0 x16 Interface: Full PCIe Gen 4 bandwidth ensures optimal data throughput between the GPU and host CPU, maximising performance in multi-GPU and NVLink configurations.

Technical Architecture

The RTX 6000 Ada is built on NVIDIA's Ada Lovelace architecture, manufactured on TSMC's 4N process node. It features the AD102 GPU die and incorporates NVIDIA's Streaming Multiprocessor (SM) design with dedicated FP32, INT32, and Tensor compute units operating in parallel. The card supports NVLink for multi-GPU configurations, enabling up to 112.5 GB/s bidirectional bandwidth between paired cards. Memory bandwidth reaches 960 GB/s via a 384-bit memory interface, ensuring no starvation of compute units during data-intensive workloads. The card also supports PCIe resizable BAR (ReBAR) for improved CPU-to-GPU data transfer efficiency.

Performance & Capacity

The RTX 6000 Ada delivers 91.1 TFLOPS FP32, 182.2 TFLOPS FP32 (with sparsity), and 1457.9 TOPS AI (INT8 with sparsity). Its 48GB GDDR6 frame buffer runs at an effective speed of 20 Gbps per pin, delivering 960 GB/s of memory bandwidth. The card operates within a 300W TDP envelope and connects via a single 16-pin (600W) power connector, making it suitable for deployment in standard enterprise GPU servers without specialised power infrastructure. Display connectivity includes four DisplayPort 1.4a outputs, supporting up to 4x 4K displays simultaneously for multi-display professional visualisation environments.

Compatibility & Integration

The NVIDIA RTX 6000 Ada Generation is fully compatible with major enterprise platforms including Dell Precision workstations, HP Z-series workstations, Lenovo ThinkStation, and Supermicro GPU servers. It supports Windows 10/11, RHEL, Ubuntu, and other major Linux distributions, with CUDA 12.x, OpenCL 3.0, DirectX 12 Ultimate, Vulkan 1.3, and OpenGL 4.6. NVIDIA vPC, vWS, and vCS virtualisation profiles are supported for VDI deployments via VMware Horizon and Citrix Virtual Apps and Desktops.

Ideal Use Cases

• AI & Deep Learning: Accelerate large-scale model training and real-time inference for computer vision, NLP, and generative AI applications in enterprise data centres.
• Professional 3D Visualisation: Power real-time ray-traced rendering for architecture, engineering, media production, and digital twin environments requiring photorealistic output.
• Scientific HPC Simulation: Drive high-performance computing simulations in energy, finance, life sciences, and engineering sectors requiring FP64 and FP32 precision at scale.
• VDI & GPU Virtualisation: Deploy GPU-accelerated virtual desktops at enterprise scale using NVIDIA vWS profiles, delivering workstation-class performance to remote professional users.