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
to your specified address. |
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Collect from our Bolton store, BL6 6PE |
Order online, collect from our Bolton store (25-28 Enterprise Park, Middlebrook, Horwich, Bolton, BL6 6PE)
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
• MEMORY BUS WIDTH: 256-bit
• MEMORY BANDWIDTH: 192 GB/s
• CUDA CORES: 2560
• PEAK SINGLE-PRECISION FLOATING POINT PERFORMANCE: 5.5 Tflops (GPU Boost Clocks)
• SYSTM INTERFACE: PCI Express 3.0 x16
• MAX POWER CONSUMPTION: 50/75 W
• THERMAL SOLUTION: Passive Heatsink
• FORM FACTOR: Low profile PCI Express Form Factor Single Slot
• DISPLAY CONECTORS: None
• WEIGHT (W/O EXTENDER): 235g
• PART NUMBER: TCSP4M-PB
• EAN: 3536403352875
|Graphics Chipset||Tesla P4|
|NVIDIA CUDA Cores||2560|
|NVIDIA Tensor Cores|
|NVIDIA RT Cores|
|Memory Size||8 GB|
|Memory Bit Rate||256 Bit|
|Memory Bandwidth||192 GB/s|
|Single Precision (FP32) Processing||No|
|Single Precision (FP32) Performance||5.5 teraFLOPS|
|Double Precision (FP64) Processing||No|
|Double Precision (FP64) Performance||N/A|
|Deep Learning (Tensor) Performance|
|Integer Operations (INT8)|
|H.264 1080p30 Streams||N/A|
|Interface||PCIe 3.0 (x16)|
|Maximum Digital Resolution|
|Maximum VGA Resolution|
|Multi GPU Support|
|Total NVLink Bandwidth||N/A|
|Multi Monitor Support|
|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|
Please note your statutory rights are not affected.
For further information regarding Scan's warranty procedure please see our terms and conditions
- 36 months
- DOA Period:
- 7 days
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.
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.
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.
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.
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.
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.
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.
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.