The NVIDIA RTX 4000 SFF Ada Generation is perfect for professionals and enterprises who need powerful low profile workstation performance. Our solution delivers:
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Professional GPU performance with Ada Lovelace architecture
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20GB GDDR6 memory for complex CAD, rendering, and AI workloads
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Best low profile graphics card for compact workstations
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Dedicated graphics card power for demanding professional applications
Key Features
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Ada Lovelace architecture delivering next-generation professional performance
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20GB GDDR6 high-bandwidth memory for large dataset processing
- Compact low profile design for space-constrained systems
- Enterprise-grade professional GPU reliability and driver support
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RTX 4000 SFF optimized for AI acceleration and ray tracing
Technical Specifications
| Manufacturer |
PNY |
| Model Number |
VCNRTX4000ADALP-PB |
| Type |
Professional GPU - NVIDIA RTX 4000 SFF |
| Architecture |
Ada Lovelace - 3rd Gen RT Cores, 4th Gen Tensor Cores |
| Memory |
20GB GDDR6 with 320-bit memory interface |
| Form Factor |
Low profile single-slot design for compact workstations |
| CUDA Cores |
6,144 CUDA cores for parallel processing |
| Display Outputs |
4x Mini DisplayPort 1.4a for multi-monitor setups |
| Power Consumption |
70W TGP for energy-efficient professional GPU operation |
| Compatible Systems |
Workstations, CAD systems, AI development platforms |
Frequently Asked Questions
Q: What makes the RTX 4000 SFF ideal for professional workloads?
A: The NVIDIA RTX 4000 SFF Ada Generation combines 20GB GDDR6 memory with Ada Lovelace architecture, providing exceptional performance for CAD, 3D rendering, AI training, and professional visualization in a compact form factor.
Q: How does the low profile design benefit workstation deployments?
A: This best low profile graphics card fits into space-constrained workstations and small form factor PCs while delivering full professional GPU performance, making it perfect for dense deployment scenarios.
Q: What Ada Lovelace architecture advantages does this GPU offer?
A: Ada Lovelace provides 2.5x ray tracing performance improvement, enhanced AI acceleration with 4th Gen Tensor Cores, and superior power efficiency compared to previous generations.
Q: Is this graphics card suitable for AI and machine learning workloads?
A: Yes. This dedicated graphics card excels at AI acceleration with its 4th Gen Tensor Cores, 20GB GDDR6 memory capacity, and optimized drivers for popular ML frameworks and professional applications.
