NVIDIA Tesla P4 Graphics Card 8GB

The NVIDIA Tesla P4 Graphics Card 8GB is a powerful GPU designed to accelerate inferencing tasks in AI and deep learning applications. Built on the Pascal architecture, it provides exceptional performance while maintaining energy efficiency. With its compact single-slot form factor and low power consumption, the Tesla P4 is ideal for data centers, AI inferencing at the edge, and high-density server environments.

Designed for professionals and enterprises working on AI workloads, video transcoding, and high-performance computing (HPC), the Tesla P4 delivers real-time inferencing, reduced latency, and efficient scaling for demanding applications.

Key Features:

1. Pascal Architecture

• CUDA Cores
  • Equipped with 2,560 CUDA cores, the Tesla P4 delivers powerful parallel processing for AI inferencing and HPC workloads.
• Optimized for Inferencing
  • Pascal architecture ensures superior performance in deep learning inferencing tasks with optimized precision.

2. 8GB GDDR5 Memory

• Sufficient Capacity
  • The 8GB of GDDR5 memory ensures smooth processing for inferencing workloads and high-resolution data.
• High Bandwidth
  • Provides a memory bandwidth of 192 GB/s, enabling rapid data transfer for real-time applications.

3. Energy Efficiency

• Low Power Consumption
  • Operates at a power consumption of 50W, making it ideal for high-density deployments in energy-constrained environments.
• Efficient Performance
  • Offers an excellent performance-per-watt ratio for cost-effective AI deployment.

4. Deep Learning Inferencing

• FP16 and INT8 Optimization
  • Optimized for mixed-precision inferencing tasks, with a peak INT8 performance of 22 TOPS for AI models.
• Low Latency
  • Delivers real-time responses in applications such as natural language processing, image recognition, and recommendation systems.

5. Compact Design

• Single-Slot Form Factor
  • Fits into standard servers and edge devices with space constraints.
• Passive Cooling
  • Designed for data center environments, leveraging server airflow for efficient heat dissipation.

6. Multi-Stream Video Transcoding

• Video Encoding and Decoding
  • Includes hardware-accelerated H.264 and HEVC encoding/decoding capabilities, making it ideal for video streaming and transcoding.
• High-Density Streaming
  • Supports up to 38 streams of 720p 30 FPS video

Applications:

1. Artificial Intelligence and Deep Learning

• • Inferencing Workloads: Speeds up inferencing for AI models such as image classification, speech recognition, and recommendation engines.
  • Natural Language Processing (NLP): Optimized for real-time applications like chatbots, sentiment analysis, and translation.
  • Edge AI: Ideal for deploying AI models at the edge, supporting real-time decision-making in IoT and smart devices.

2. Video Transcoding and Streaming

• • Content Delivery: Enables high-quality video streaming with low latency for platforms like OTT and live-streaming services.
  • High-Density Transcoding: Supports multiple concurrent video streams, reducing infrastructure costs for video service providers.

3. High-Performance Computing (HPC)

• • Scientific Research: Accelerates computations in physics, genomics, and simulations.
  • Data Analytics: Handles complex datasets for predictive analytics and real-time data processing.

4. Data Centers

• • AI Workloads: Powers inferencing tasks in data centers with high efficiency and scalability.
  • Multi-Tenant Environments: Allows for efficient resource allocation in shared environments.

Why Choose the NVIDIA Tesla P4 Graphics Card 8GB?

1. Optimized for AI Inferencing
   • Delivers outstanding performance for AI workloads, including natural language processing, image recognition, and recommendation systems.
2. Energy-Efficient Design
   • Operates at just 50W, making it ideal for energy-constrained environments like data centers and edge deployments.
3. Compact and Versatile
   • The single-slot form factor fits into a variety of server configurations, enabling high-density deployments.
4. Real-Time Video Transcoding
   • Hardware-accelerated video processing ensures smooth and efficient streaming for multiple concurrent users.
5. Scalability
   • Supports large-scale deployments with high efficiency, making it suitable for enterprises and cloud providers.
6. Future-Ready for AI Applications
   • Built for current and next-generation AI applications, ensuring long-term usability and relevance.