LEADTEK NVIDIA RTX PRO 4000 Blackwell Workstation GPU

The LEADTEK NVIDIA RTX PRO™ 4000 Blackwell Generation is the ultimate single-slot workstation GPU designed for modern enterprises that require top-tier performance without sacrificing valuable chassis real estate. It serves as an incredibly agile compute engine, delivering cutting-edge AI acceleration, advanced neural rendering, and profound power efficiency.

By pulling a maximum of only 140W, it provides an unmatched ratio of performance-per-watt. Its sleek, ultra-compact profile enables corporations to effortlessly integrate it into space-constrained professional environments, high-density multi-GPU workstations, compact medical imaging setups, and edge deployment systems—all while maintaining predictable thermal footprints.

Core Business Applications & Drivers

• Localized Generative AI Workflows: Built on the revolutionary Blackwell architecture, the card features 5th-Gen Tensor Cores that natively support the highly efficient FP4 data type. Backed by 24GB of ultra-fast GDDR7 memory, it provides data scientists and developers with double the memory footprint and triple the AI processing power of the prior generation—perfect for building local LLM prototypes and executing industrial-scale AI inferencing securely.

• Intricate Engineering & Product Design: For manufacturing and AECO (Architecture, Engineering, Construction, and Operations) industries, the 4th-Gen RT Cores power interactive, physically accurate 3D simulations. Utilizing RTX Mega Geometry, the GPU handles up to 100x more ray-traced triangles, vastly speeding up iteration cycles for pioneering sustainable cities or complex mechanical prototyping.

• Advanced Studio Media Ingestion: Media production houses benefit heavily from native hardware encode and decode support for 4:2:2 chromasampled video. This allows content creators to bypass time-consuming proxy setups and edit high-fidelity HDR footage, fine lines, and complex color grading in real time.

• Maximized Utilization & Uptime: Equipped with a dedicated on-chip AI Management Processor, the hardware offloads resource scheduling directly from the system CPU. This drastically reduces processing latency and prevents compute timeouts during massive data science or real-time simulation runs, ensuring continuous enterprise productivity.
  
  
  

Complete Product Specifications