NVIDIA Quadro P4000

1,792

CUDA Cores

8GB

VRAM

243

GB/s

Professional
Updated April 21, 2026 • 2026 Edition
Quadro P4000 GPU Specifications

Technical Specifications

1,792

CUDA Cores

1202

Base MHz

1480

Boost MHz

8GB GDDR5

256-bit bus

Performance

5.3

FP32 TFLOPS

10.6

FP16 TFLOPS

105W

TDP

Cloud Availability

0

Available Instances

$0.00/hr

Starting Price

Detailed Specifications

Architecture Pascal (Unknown)
Release Date 2017-02-06
Launch Price $1,199.00
Process 16nm
Transistors 7.2B

AI Features

none

Tensor Cores

Disabled

Transformer Engine

Not Supported

Flash Attention

Physical Specifications

Dimensions

9.5in

Length

4.4in

Width

1-slot

Height

About Quadro P4000 GPU

The NVIDIA Quadro P4000 is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 8GB of VRAM and 1,792 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.

Released in 2017, the Quadro P4000 features Pascal architecture with advanced AI accelerators including Tensor Cores and Transformer Engine support. This makes it ideal for large language models, computer vision tasks, and generative AI applications.

When considering cloud rental options for the Quadro P4000, pricing starts at $0.00/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 243 GB/s enabling fast data transfer for large datasets.

The Quadro P4000 features CUDA compute capability 6.1 and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 16nm manufacturing process ensures efficient power consumption relative to performance output.

External Resources

Learn more about GPUs from these authoritative sources:

NVIDIA CUDA Documentation →

Official CUDA programming guide

NVIDIA GPU Specifications →

Official NVIDIA GPU specs

TechPowerUp GPU Database →

Comprehensive GPU specifications

CUDA Compute Capability Guide →

GPU compute capability reference

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Best for Inference NVIDIA A40 NVIDIA A100 NVIDIA A10

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