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NVIDIA 900-5G190-2570-000 RTX 4000 Ada Generation Graphic Card - 20 GB GDDR6 - Full-height - PCI Express ( )
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Product Features
Technical Overview
This graphics card features the RTX 4000 Ada chipset with 6144 CUDA cores, enabling parallel processing for complex visual computations. The 20 GB GDDR6 memory operates with ECC support, reducing errors in critical professional environments where data accuracy is paramount.
The PCI Express host interface delivers up to 8 GB/s of concurrent bandwidth, facilitating rapid data transfer between the GPU and system components. AI acceleration enhances performance in machine learning, rendering, and simulation applications.
Relevant factors for this section include CUDA Cores, Features, AI-powered, Chipset Manufacturer. When those points are considered together, they give buyers a clearer picture of how the product is equipped, how it fits into deployment, and what kind of day-to-day role it is meant to support.
A strong technical summary explains how the product's interfaces, hardware profile, and operating characteristics work together in real deployment. Buyers often need this context to confirm compatibility with existing devices, expected performance in daily use, and whether installation will be straightforward for IT staff or end users.
Key Product Advantages
The RTX 4000 Ada card combines high memory capacity with advanced architecture for professional graphics workloads. Its 20 GB GDDR6 frame buffer stores textures, shadow maps, and lighting information to accelerate rendering without system memory bottlenecks.
Memory Performance
20 GB of GDDR6 memory with ECC ensures reliable operation for CAD, 3D modeling, and scientific visualization where large datasets require both capacity and data integrity.
- Reduces rendering latency
- Supports complex scenes
- Minimizes memory errors
AI Acceleration
Built-in AI capabilities optimize rendering pipelines, denoising, and upscaling tasks through dedicated tensor cores, improving workflow efficiency in creative and technical applications.
- Enhances real-time previews
- Accelerates AI inference
- Reduces processing time
Deployment / Use Cases
This graphics card targets professional environments requiring reliable graphics performance for design, engineering, and content creation. Its single-slot, full-height design makes it suitable for standard workstation configurations where space optimization matters.
Common applications include computer-aided design (CAD), 3D animation, video editing, scientific visualization, and architectural rendering. The ECC memory and AI acceleration support precision work in finance, healthcare, and research sectors where data accuracy and computational performance are critical.
Relevant factors for this section include CUDA Cores, Features, AI-powered, Chipset Manufacturer. When those points are considered together, they give buyers a clearer picture of how the product is equipped, how it fits into deployment, and what kind of day-to-day role it is meant to support.
Workstation Graphics
Ideal for engineering and design workstations handling complex models and simulations, providing the memory bandwidth and compute power needed for interactive manipulation of high-polygon scenes.
Professional Visualization
Supports medical imaging, geospatial analysis, and financial modeling applications where large datasets require GPU acceleration for real-time visualization and analysis.
Physical Profile
The card measures 9.50" (241.30 mm) in length and 4.40" (111.76 mm) in height with a full-height profile that fits standard ATX and workstation chassis. Its single-slot design conserves expansion slots for additional components while the active cooler maintains optimal thermal performance under sustained loads.
The physical profile is practical for deployment planning because the dimensions and weight are clearly defined: Full-height. This helps confirm rack, shelf, desk, or cabinet fit before installation.
- Height
- Full-height
- Length
- 9.50" (241.30 mm)
Highlights
- 20 GB GDDR6 memory with ECC support for data integrity
- 6144 CUDA cores for parallel processing performance
- RTX 4000 Ada chipset with AI acceleration capabilities
- PCI Express interface with up to 8 GB/s bandwidth
- Full-height, single-slot form factor for workstation compatibility
- Active cooler design for sustained thermal management
- Supports PC platforms for professional graphics workloads
- Retail packaging for straightforward deployment
Specifications
| Specifications | |
|---|---|
| Manufacturer | NVIDIA Corporation |
| Manufacturer Part Number | 900-5G190-2570-000 |
| Brand Name | NVIDIA |
| Product Name | RTX 4000 Ada Generation Graphic Card |
| Package Type | Retail |
| Product Type | Graphic Card |
| Technical Information | |
| CUDA Cores | 6144 |
| Features | ECC |
| AI-powered | Yes |
| Processor & Chipset | |
| Chipset Manufacturer | NVIDIA |
| Chipset Series | RTX |
| Chipset Model | RTX 4000 Ada |
| Memory | |
| Standard Memory | 20 GB |
| Memory Technology | GDDR6 |
| Interfaces/Ports | |
| Host Interface | PCI Express |
| Physical Characteristics | |
| Slot Space Required | Single |
| Form Factor | Plug-in Card |
| Card Height | Full-height |
| Cooler Type | Active Cooler |
| Height | 4.40" (111.76 mm) |
| Length | 9.50" (241.30 mm) |
| Miscellaneous | |
| Platform Supported | PC |
FAQ
What is the memory capacity and type of this graphics card?
This NVIDIA RTX 4000 Ada card features 20 GB of GDDR6 memory. GDDR6 provides high bandwidth for graphics-intensive applications, and the memory includes ECC (Error-Correcting Code) support to detect and correct data errors in professional environments where accuracy is critical.
How many CUDA cores does the RTX 4000 Ada have?
The card contains 6144 CUDA cores. These parallel processing units handle the computational workloads for rendering, simulation, and AI tasks, enabling faster performance in applications that leverage GPU acceleration for complex visual computations.
What interface does this graphics card use?
It uses a PCI Express host interface. This standard interface provides up to 8 GB/s of concurrent bandwidth for data transfer between the GPU and system components, ensuring sufficient throughput for professional graphics workloads without bottlenecks.
What are the physical dimensions of this card?
The card measures 9.50 inches (241.30 mm) in length and 4.40 inches (111.76 mm) in height. It has a full-height profile and requires a single expansion slot, making it compatible with standard workstation and PC chassis that support full-height graphics cards.
Does this graphics card support AI acceleration?
Yes, the RTX 4000 Ada chipset includes AI-powered capabilities. These features accelerate machine learning inference, denoising, and upscaling tasks through dedicated tensor cores, improving performance in applications that utilize AI for image processing, rendering, or data analysis.
What type of cooling does this graphics card use?
It uses an active cooler design. This cooling solution includes a fan or fans that actively dissipate heat from the GPU during operation, maintaining optimal temperatures for sustained performance in demanding professional applications without thermal throttling.
| Qty | Price | Available |
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