NVIDIA RTX 2000 Ada Generation Professional GPU
The NVIDIA RTX 2000 Ada is engineered for professionals who demand real-time ray tracing and AI-accelerated compute without sacrificing power efficiency. Whether you're a content creator, designer, data analyst, or AI developer, this compact professional GPU delivers enterprise-grade performance with 16GB GDDR6 memory and ECC support. Perfect for workstations requiring high-performance graphics and machine learning acceleration in space-constrained environments.
Key Features
- 2,816 CUDA cores for parallel processing and compute acceleration
- 22 third-generation RT Cores enabling real-time ray tracing and advanced rendering
- 88 fourth-generation Tensor Cores optimized for AI and deep learning workloads
- 16GB GDDR6 graphics memory with ECC error correction for data integrity
- Ada Lovelace architecture delivering next-generation performance efficiency
- Mini DisplayPort connectivity for multi-monitor professional setups
- Power-efficient design ideal for compact workstations and data centers
- Support for NVIDIA CUDA, OptiX, and AI frameworks
Technical Specifications
| Specification |
Details |
| Manufacturer |
PNY TECHNOLOGIES |
| Part Number |
VCNRTX2000ADA-B |
| GPU Architecture |
Ada Lovelace |
| CUDA Cores |
2,816 |
| RT Cores (3rd Gen) |
22 |
| Tensor Cores (4th Gen) |
88 |
| Memory |
16GB GDDR6 |
| Memory Interface |
ECC Support |
| Display Outputs |
Mini DisplayPort |
| Form Factor |
Compact Professional |
Frequently Asked Questions
What is the NVIDIA RTX 2000 Ada best used for?
The RTX 2000 Ada excels in content creation, 3D design, data visualization, and AI-driven applications. Its real-time ray tracing capabilities and Tensor Cores make it ideal for professionals needing both graphics performance and compute acceleration in a power-efficient package.
How much VRAM does the RTX 2000 Ada have?
This professional GPU features 16GB of GDDR6 graphics memory with ECC support, ensuring data integrity for mission-critical workloads and providing ample memory for large datasets and complex 3D scenes.
Is the RTX 2000 Ada suitable for machine learning and AI workloads?
Yes. With 88 fourth-generation Tensor Cores and NVIDIA CUDA support, the RTX 2000 Ada is optimized for AI acceleration, deep learning training, and inference tasks, making it an excellent choice for data scientists and AI engineers.
What connectivity options does the RTX 2000 Ada provide?
The GPU includes Mini DisplayPort connectivity, supporting multi-monitor professional workflows and seamless integration into modern workstation environments.
