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UP SELLING THE INTEL PROCESSOR RANGE

WHICH USERS ARE SUITED TO WORKSTATIONS. Graphics intensive. Computation intensive. Digital Content Creation (DCC). Computer Aided Design/Manufacture (CAD/CAM). Oil and Gas. Financial Modelling. Software developer. - ADOBE AUTODESK AVID TOON BOOM. DASSAULT SYSTEMS PTC

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UP SELLING THE INTEL PROCESSOR RANGE

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  1. WHICH USERS ARE SUITED TO WORKSTATIONS Graphics intensive Computation intensive Digital Content Creation (DCC) Computer Aided Design/Manufacture (CAD/CAM) Oil and Gas Financial Modelling Software developer • - ADOBE • AUTODESK • AVID • TOON BOOM • DASSAULT SYSTEMS • PTC • SIEMENS PLM • - AUTODESK • - PARADIGM • SCHLUMBERGER • LANDMARK • MONTE CARLO SIMULATIONS • RISK ANALYSIS • DERIVATIVES / OPTIONS PRICING • JAVA • PYTHON • C / C++ A WORKSTATION PROVIDES A SYSTEM SOLUTION (e.g. Processor, memory, graphics, storage) Support Reliability Performance Independent Software Vendor (ISV) Certified Intel Xeon processors ECC Memory Better input / output (I/O) Applications (see table above) are certified to run on workstations Server class processors designed for 24/7 Error checking and correcting memory (fewer crashes) Performance isn’t just processor; I/O inc. Gfx/HDD UP SELLING THE INTEL PROCESSOR RANGE Core i7 2600 Intel Processor: Xeon E3-1225 Xeon E5-2650 / 2665 Xeon E5-2620 N/A ThinkStation: E30 S30 C30 / D30 Core i7 may offer more processor performance – but for many applications work is passed to GPU Reliability Supports Error Checking and Correcting (ECC) memory for greater reliability Better system performance QPI Bus - Faster input/output (I/O) – e.g. Gfx/HDD Scalable performance Dual processor support • WHICH GRAPHICS CARD • Many high end desktops (e.g. Core i7) feature consumer (e.g. NVIDIA GeForce) rather than workstation-class (e.g. NVIDIA Quadro) graphics cards. While capable the main differences are: • Consumer cards are generally great at importing and single layer tasks, but don't perform as well on multi layer tasks, zoom, frame grabs etc. • Support for programming extensions such as OpenGL, OpenCL and CUDA for better graphical performance • High Performance Computing (HPC) applications (e.g. financial modelling) are increasingly using HPC cards such as NVIDIA’s Tesla GPU

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