NVIDIA L4 Tensor Core GPU 24GB GDDR6 | Low-Profile Data Center GPU for AI, Inference, Video & Virtual Workloads
₹373,499
The NVIDIA L4 Tensor Core GPU 24GB GDDR6 is a low-profile data center accelerator designed for AI, inference, video processing, virtualization, and accelerated computing workloads. Its compact form factor and 24GB GDDR6 memory make it suitable for space-constrained servers, edge deployments, enterprise data centers, and professional GPU-accelerated applications.
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Key Features
- 24GB GDDR6 Memory: High-capacity GPU memory for AI, video and accelerated computing workloads.
- NVIDIA Tensor Core GPU: Designed for AI inference and accelerated enterprise applications.
- Low-Profile Design: Suitable for compact servers and space-constrained data center environments.
- AI & Inference: Designed for machine learning inference, deep learning and AI-powered applications.
- Video Processing: Suitable for professional video processing, streaming and media workloads.
- Virtual Workloads: Designed for GPU-accelerated virtualization and virtual workstation environments.
- Data Center Ready: Built for enterprise servers, edge computing and cloud infrastructure.
- Power-Efficient Accelerator: Suitable for deployments where performance and compact system design are important.
Specifications
| Specification | Details |
|---|---|
| Brand | NVIDIA |
| GPU Model | NVIDIA L4 Tensor Core GPU |
| GPU Category | Data Center GPU |
| Architecture | NVIDIA Ada Lovelace |
| GPU Memory | 24GB |
| Memory Type | GDDR6 |
| Form Factor | Low Profile |
| Application | AI, Inference, Video & Virtualization |
| AI Workloads | AI Inference, Machine Learning & Deep Learning |
| Video Workloads | Video Processing, Streaming & Media |
| Virtualization | GPU-Accelerated Virtual Workloads |
| Usage | Data Center, Enterprise & Edge Computing |
| Product Category | Professional Data Center GPU |
Ideal Applications
- AI inference
- Machine learning
- Deep learning applications
- Generative AI inference
- Video processing and streaming
- Media and content processing
- Virtual desktop infrastructure (VDI)
- Virtual workstations
- Edge computing
- Enterprise data centers
- Cloud GPU workloads
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