NVIDIA Tesla P40 Graphics Card 24GB

The NVIDIA Tesla P40 Graphics Card 24GB is a high-performance GPU designed for accelerating AI inferencing, high-performance computing (HPC), and virtualized workloads in data centers. Built on the Pascal architecture, the Tesla P40 delivers exceptional performance with 3,840 CUDA cores, 24GB of GDDR5 memory, and optimized support for deep learning and machine learning workloads.

This GPU is tailored for enterprises and research organizations working on complex datasets, AI model inferencing, video processing, and large-scale HPC applications. Its combination of energy efficiency, massive memory capacity, and advanced inferencing capabilities makes it a leading choice for modern AI and data center deployments.

Key Features:

1. Pascal Architecture

• CUDA Cores
  • The Tesla P40 features 3,840 CUDA cores, offering robust parallel processing power for data-intensive workloads.
• Optimized for AI and HPC
  • Pascal architecture ensures superior performance in deep learning inferencing, scientific simulations, and analytics tasks.

2. 24GB GDDR5 Memory

• High-Capacity Memory
  • The 24GB of GDDR5 memory ensures seamless performance for large datasets, neural networks, and multi-tasking environments.
• High Bandwidth
  • Provides a memory bandwidth of 346 GB/s, ensuring smooth and efficient handling of complex workloads.
• Error-Correcting Code (ECC)
  • Maintains data integrity, making the Tesla P40 suitable for mission-critical applications.

3. Deep Learning Acceleration

• INT8 Optimization
  • Delivers peak inferencing performance of 47 TOPS, accelerating AI applications like image recognition, natural language processing, and recommendation systems.
• FP16 and FP32 Support
  • Provides mixed-precision capabilities for efficient deep learning workflows.

4. Scalable Performance

• Multi-GPU Configurations
  • Supports scaling across multiple GPUs, allowing users to handle larger workloads and more complex simulations.
• Virtualized Environments
  • Fully compatible with NVIDIA virtual GPU (vGPU) technology, enabling resource sharing in multi-tenant environments.

5. Energy Efficiency

• Optimized Power Usage
  • Operates at a TDP of 250W, delivering excellent performance-per-watt efficiency for data center deployments.
• Passive Cooling
  • Designed for server environments, utilizing efficient passive cooling for stable performance.

6. Video Transcoding and Streaming

• Multi-Stream Support
  • Accelerates video encoding and decoding for H.264 and HEVC formats, making it ideal for media streaming and transcoding.
• High-Density Streaming
  • Handles up to 26 streams of 1080p 30 FPS video, reducing infrastructure costs for video services.

Applications:

1. Artificial Intelligence and Machine Learning

• • Inferencing Workloads: Optimized for real-time inferencing tasks like image classification, speech recognition, and recommendation systems.
  • AI Deployment: Powers AI inferencing for chatbots, voice assistants, and predictive analytics in edge and data center environments.

2. High-Performance Computing (HPC)

• • Scientific Research: Accelerates computations in genomics, astrophysics, and climate modeling.
  • Simulations: Supports simulations for engineering, physics, and chemistry with high precision and performance.

3. Virtualization

• • Virtual Desktops and Applications: Delivers high-quality virtual desktops for engineers, scientists, and creative professionals.
  • Multi-Tenant Environments: Enables efficient resource allocation in shared server environments.

4. Media and Entertainment

• • Video Transcoding: Speeds up encoding and decoding of high-resolution videos for content delivery platforms.
  • Streaming Services: Supports multiple simultaneous streams with low latency, reducing costs for streaming providers.

5. Data Analytics

• • Real-Time Analytics: Handles complex datasets and supports predictive analytics for financial modeling, research, and big data processing.
  • Recommendation Systems: Optimized for real-time recommendations and personalization engines.

Why Choose the NVIDIA Tesla P40 Graphics Card 24GB?

1. Exceptional Inferencing Performance
   • Delivers 47 TOPS of INT8 performance, making it ideal for AI-powered applications like recommendation systems and image recognition.
2. Massive Memory Capacity
   • The 24GB GDDR5 memory ensures smooth handling of large datasets and complex workflows, making it perfect for HPC and AI applications.
3. Energy Efficiency
   • Operates at 250W, providing excellent performance-per-watt for energy-conscious data center deployments.
4. Scalability
   • Supports multi-GPU configurations and NVIDIA vGPU technology, enabling efficient scaling for larger workloads.
5. Professional-Grade Reliability
   • ECC memory and support for virtualized environments ensure stability and reliability in mission-critical applications.
6. Versatile Applications
   • Suitable for AI, HPC, virtualization, media streaming, and analytics, offering flexibility for diverse workloads.