NVIDIA RTX A400 4GB Ampere

NVIDIA RTX A400 4GB Ampere (900-5G172-2560-000) - 3 Years Local Warranty 

NVIDIA RTX A400 4GB Ampere – Compact Power for Entry-Level Workstations

The NVIDIA RTX A400 4GB Ampere Graphics Card is a compact, entry-level professional GPU designed for small form factor (SFF) workstations. Powered by NVIDIA’s Ampere GPU architecture, this GPU provides an affordable yet powerful solution for CAD, 3D design, and visualization workflows. With 4GB of GDDR6 memory, the RTX A400 is optimized for industries that require reliable performance, energy efficiency, and a compact design. It offers seamless performance for AutoCAD, Revit, and other CAD design software, enabling smooth rendering, model manipulation, and precise visualization.

Ampere Architecture – Advanced AI, Rendering, and Ray Tracing

The NVIDIA RTX A400 4GB is built on NVIDIA’s next-gen Ampere architecture, which introduces 2nd-gen Ray Tracing Cores and 3rd-gen Tensor Cores. This breakthrough design allows for enhanced ray tracing, AI processing, and real-time 3D rendering. Professionals benefit from lifelike lighting, shadows, and reflections in visualizations, making it ideal for architecture, product design, and engineering. The Tensor Cores provide AI-driven denoising, inferencing, and deep learning model training, while CUDA Cores deliver faster calculations and better support for multi-application workflows.

4GB GDDR6 Memory for Professional Design Applications

The NVIDIA RTX A400 is equipped with 4GB of GDDR6 memory, offering the capacity to handle entry-level 3D models, video files, and CAD projects with ease. This capacity is ideal for CAD designers, architects, and engineers who work on mid-sized models or require light 3D rendering. The GDDR6 memory enables faster data transfers, ensuring smooth navigation and rendering of 3D models. Professionals using applications like AutoCAD, Revit, and 3ds Max will experience better performance and faster rendering times, reducing project turnaround and enabling enhanced productivity.

Small Form Factor (SFF) Design – Compact, Energy-Efficient GPU

The NVIDIA RTX A400 4GB Ampere is a Small Form Factor (SFF) GPU, ideal for workstations where space is at a premium. Its low-profile design allows it to fit into compact desktop systems, slim towers, and 2U rackmount workstations. The space-saving design makes it perfect for multi-GPU setups, allowing for optimal airflow and cooling while maximizing performance. Despite its small size, it delivers ample power for CAD design, engineering analysis, and 3D visualization workflows. This combination of efficiency, power, and compact design makes it the go-to choice for professionals with limited space but big performance needs.

Technical Specifications of NVIDIA RTX A400 4GB Ampere

Architecture
• NVIDIA Ampere architecture
• Built for entry-level professional visualization and AI-assisted workflows

CUDA & Core Design
• 768 CUDA cores
• 3rd Gen Tensor Cores (AI acceleration)
• 2nd Gen RT Cores (ray tracing support)

Graphics & Performance
• Entry-level RTX professional GPU
• Supports real-time ray tracing and AI-enhanced features
• Designed for stable, certified workstation workloads

Memory
• 4GB GDDR6 VRAM
• Optimised for:
• CAD models
• 2D/3D design
• Light rendering tasks

Compute & Workloads
• CAD / BIM / architecture
• Engineering and design applications
• Light 3D rendering and visualization
• Multi-application office + graphics workflows

Form Factor (Key Highlight)
• Low-profile, single-slot GPU
• Fits small form factor (SFF) desktops and slim systems

Power Consumption
• ~50W TDP
• No external power connector required
• Extremely efficient and easy deployment

Interface
• PCIe Gen4 x8
• Workstation-class add-in GPU

Display & Output
• Up to 4 × Mini DisplayPort outputs
• Supports multi-monitor setups (up to 4 displays)

Cooling Design
• Single-slot blower cooling
• Optimised for compact and dense workstation builds

Driver & Software Support
• NVIDIA RTX Enterprise drivers
• ISV-certified (AutoCAD, SolidWorks, Adobe, etc.)
• Supports CUDA and AI frameworks