900-2G414-0300-000 Nvidia Tesla P4 8GB GDDR5 GPU

Nvidia 900-2G414-0300-000 Tesla P4 8GB GDDR5 GPU

The Nvidia 900-2G414-0300-000 Tesla P4 8GB GDDR5 GPU category represents compact, data-center-grade inference accelerators optimized for efficient AI inference, virtualization, and dense rack deployments. Built on NVIDIA’s Pascal architecture, these GPUs deliver excellent performance-per-watt for large-scale inference workloads and are widely used in edge computing, media streaming, and AI-driven cloud infrastructure.

Detailed Memory & Interface Specs

The Tesla P4’s 8GB GDDR5 memory ensures consistent bandwidth for large-scale inference models and data-intensive operations. Its 256-bit memory bus allows stable performance in tasks such as deep learning inference, video encoding, and data analytics. The PCIe Gen3 interface provides high throughput and seamless integration in dense server environments.

Performance Characteristics and Efficiency

Inference Throughput and Power Efficiency

Designed for inference rather than training, the Tesla P4 delivers excellent performance per watt. Its INT8 and mixed-precision capabilities enable AI models to process more data with lower latency and power consumption. This makes it ideal for cloud-scale inference, recommendation engines, and real-time analytics in compact server configurations.

Real-World Benchmarks & Use-Case Performance

In real-world applications, the Tesla P4 can outperform CPU-only inference setups by multiples, providing faster responses in workloads such as voice recognition, image classification, and recommendation inference. When optimized with TensorRT and compatible deep learning frameworks, it achieves significant latency reductions while consuming minimal power.

Primary Use Cases & Deployment Patterns

Large-Scale Inference at the Edge and Cloud

Tesla P4 accelerators are widely used in edge servers and cloud environments where efficiency, scalability, and low power draw are critical. They enable high-density deployments for:

Image and video inference (object detection, segmentation, classification).

Voice recognition and speech-to-text services.

Recommendation engines for personalization and targeted content.

Low-latency inference for real-time analytics.

Virtual Desktop Infrastructure (VDI) and Graphics Virtualization

The Tesla P4 supports GPU virtualization technologies, making it suitable for virtual desktops and remote graphics. It allows multiple users to share a single GPU efficiently, enabling virtualized design and rendering workloads in compact data centers or cloud-hosted environments.

Video Transcoding and Media Streaming

With dedicated video decoding and encoding capabilities, the Tesla P4 is also optimized for video transcoding and streaming. It can handle multiple concurrent streams efficiently, reducing CPU load and power costs in large-scale media delivery infrastructures.

Compatibility, OEM Part Numbers & Form-Factor Considerations

Common OEM SKUs and Cross-References

The Tesla P4 appears under several OEM part numbers and product listings. Common identifiers include:

NVIDIA part number: 900-2G414-0300-000

HP part numbers: 872321-001, Q0V79A

Other marketplace variants may include similar P4 SKUs differing slightly in cooling or bracket configuration.

Physical Fit & Server Compatibility

The Tesla P4’s single-slot, low-profile design fits 1U and 2U rack servers with PCIe x16 slots. Its passive cooling solution relies on server airflow, making it best suited for professionally ventilated data center environments. When listing or categorizing this GPU, ensure compatibility notes are provided for bracket size, airflow direction, and chassis requirements.

Power & Cooling Notes

The Tesla P4 consumes between 50W and 75W depending on system configuration. Its efficient design enables multiple GPUs per chassis without exceeding typical rack power limits. Adequate front-to-back airflow is required for stable thermal management in rack systems.

Software, Drivers, and Inference Tooling

Driver & CUDA Stack Compatibility

The Tesla P4 supports NVIDIA datacenter drivers compatible with CUDA and cuDNN versions designed for Pascal architecture. Pairing it with TensorRT provides optimal inference acceleration across frameworks such as TensorFlow, PyTorch, and ONNX Runtime.

Recommended Inference & Acceleration Libraries

NVIDIA TensorRT for optimized inference execution.
CUDA Toolkit for GPU-accelerated operations.
CUDNN for deep learning framework integration.
NVIDIA Container Toolkit for Docker-based deployments.
Enterprise AI frameworks validated for Pascal GPUs.

Shop Nvidia Tesla P4 8GB GDDR5 (900-2G414-0300-000) — efficient low-profile inference accelerator with 50–75W power, PCIe interface, and OEM compatibility (HP 872321-001). Ideal for data center, AI inference, and media streaming applications.

This comprehensive category description helps buyers and system integrators understand specifications, compatibility, and performance benefits of the Nvidia Tesla P4 GPU while providing keyword-rich content for improved search rankings.