PNY 8GB NVIDIA Tesla P4 PCI-E Passive GPU module

8GB PNY NVIDIA Tesla P4 Accelerator, PCIe 3.0 (x16), 2560 CUDA Cores, 5.5 Tflops SP, Passive Cooler

Scan code: LN76993 Manufacturer code: TCSP4M-PB Request call
£2,278.99Item currently awaiting an ETA
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Pay on Scan Finance with a 10% deposit from just £56.92 / month (APR 15.9%)
From £109.39 / month (APR 14.9%)
Monthly Payment: £395.46
Instalment Rate: 14.9% p.a. (fixed)
Cost of purchase: £2,278.99
Total inc. interest: £2,372.75
Monthly Payment: £204.60
Instalment Rate: 14.9% p.a. (fixed)
Cost of purchase: £2,278.99
Total inc. interest: £2,455.09
Monthly Payment: £141.08
Instalment Rate: 14.9% p.a. (fixed)
Cost of purchase: £2,278.99
Total inc. interest: £2,539.26
Monthly Payment: £109.39
Instalment Rate: 14.9% p.a. (fixed)
Cost of purchase: £2,278.99
Total inc. interest: £2,625.29
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High End
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Product Overview Inferencing Accelerator
In the new era of AI and intelligent machines, deep learning is shaping our world like no other computing model in history. GPUs powered by the revolutionary NVIDIA Pascal™ architecture provide the computational engine for the new era of artificial intelligence, enabling amazing user experiences by accelerating deep learning applications at scale.

The NVIDIA Tesla P4 is powered by the revolutionary NVIDIA Pascal™ architecture and purpose-built to boost efficiency for scale-out servers running deep learning workloads, enabling smart responsive AI-based services. It slashes inference latency by 15X in any hyperscale infrastructure and provides an incredible 60X better energy efficiency than CPUs. This unlocks a new wave of AI services previous impossible due to latency limitations.

The Tesla P4’s small form factor and 50W/75W power footprint design accelerates densityoptimized, scale-out servers. It also provides an incredible 60X better energy efficiency than CPUs for deep learning inference workloads, letting hyperscale customers meet the exponential growth in demand for AI applications.

PNY provides unsurpassed service and commitment to its professional graphics customers offering: 3 year warranty, pre- and post-sales support, dedicated Quadro Field Application engineers and direct tech support hot lines. Features • MEMORY SIZE: 8 GB GDDR5
• CUDA CORES: 2560
• SYSTM INTERFACE: PCI Express 3.0 x16
• THERMAL SOLUTION: Passive Heatsink
• FORM FACTOR: Low profile PCI Express Form Factor Single Slot
• EAN: 3536403352875
Graphics Chipset Tesla P4
Edition Passive
Manufacturing process  
Microarchitecture Pascal
GPU Name  
NVIDIA CUDA Cores 2560
NVIDIA Tensor Cores  
Core Clock  
Boost Clock  
Memory Size 8 GB
Memory Type GDDR5
ECC Technology No
Memory Clock  
Memory Bit Rate 256 Bit
Memory Bandwidth 192 GB/s
Single Precision Processing No
Single Precision Performance 5.5 teraFLOPS
Double Precision Processing No
Double Precision Performance N/A
Tensor Processing No
Deep Learning (Tensor) Performance  
Integer Operations (INT8)  
Concurent Users N/A
H.264 1080p30 Streams N/A
Cooling Passive
Interface PCIe 3.0 (x16)
Interface Bandwidth  
Graphics Output  
Maximum Digital Resolution  
Maximum VGA Resolution  
Multi GPU Support  
Multi Monitor Support  
HDCP Ready Yes
Supported Compute APIs  
Supported Graphics APIs  
Microsoft DirectX Support  
Form Factor Single Slot
Low Profile Compatible Yes
Low Profile Support Yes
Board Power 50/75 W
Graphics Card Power Connectors  
Minimum Recommended PSU  
Maximum GPU Temperature  
Package Type Retail

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36 months
DOA Period:
7 days
Manufacturer Contact Details
TekSpek Guides
Tesla vs GeForce
Tesla vs GeForce
Date Issued: 2nd Dec 2010

NVIDIA® CUDA parallel computing architecture is enabled on GeForce, Quadro, and Tesla products. Whereas GeForce and Quadro are designed for consumer graphics and professional visualization respectively, the NVIDIA® Tesla™ product family is designed ground-up for parallel computing and offers exclusive computing features.

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Graphics Card Outputs
Graphics Card Outputs
Date Issued: 8th Oct 2010

Modern desktop computers and notebooks comprise of a CPU, motherboard, graphics, storage, and, usually an optical drive. Computers have a number of ports and sockets that enable the user to plug-in various peripherals such as a printer, USB mouse, or, perhaps most importantly of all, an Internet connection.

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CUDA Technology
CUDA Technology
Date Issued: 22nd Oct 2008

CUDA technology is the world’s only C language environment that enables programmers and developers to write software to solve complex computational problems in a fraction of the time by tapping into the many-core parallel processing power of GPUs.

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Date Issued: 20th Oct 2008

This TekSpek explains why you’d want to overclock your graphics board, the risks in doing so and how you can go about doing it.

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GPU Antialiasing
GPU Antialiasing
Date Issued: 20th Oct 2008

This TekSpek will assume you know the affects of applying a level of anti-aliasing (AA) on your 3D accelerator, be it via the driver control panel or via a control in your game. We assume you know the effect it has on image quality, so you can think about a before and after scenario. So this TekSpek isn’t about explaining what it does as such, although it will, it’s about explaining the how and why.

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Date Issued: 20th Oct 2008

Explaining how a modern GPU works in completeness would take a book. Or two. Per class of chip. Per vendor. They’re extraordinarily complex pieces of engineering and production, and the end result contains more transistors than multiple modern x86 processors.

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DirectX 10
DirectX 10
Date Issued: 25th Jun 2008

This TekSpek explains DirectX 10, which graphics cards support it, how they work and what the consumer’s choices are.

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Date Issued: 14th Jun 2008

We’ve all been victims of static electricity at some point. Perhaps somebody’s used a balloon to make your hair stand on end, or you’ve walked across the office and been ‘shocked’ by a metal door knob? That’s electrostatic discharge at work.

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Questions & Answers
PNY 8GB NVIDIA Tesla P4 PCI-E Passive GPU module
PNY 8GB NVIDIA Tesla P4 PCI-E Passive GPU module