NVIDIA Graphics

NVIDIA GRID™ technology offers the ability to offload graphics processing from the CPU to the GPU in virtualized environments, allowing the data center manager to deliver true PC graphics-rich experiences to more users for the first time.

NVIDIA Quadro graphics cards target 3D workstation users and are certified for use with a broad range of industry leading applications. The high-end cards in this category have unrivalled processing power, flexible display configurations and up to 24GB of memory, depending on the model. They deliver the very best performance for 3D users when dealing with the most demanding computer aided design (CAD) and digital content creation (DCC) and simulation applications.

NVIDIA Quadro graphics cards target 3D workstation users and are certified for use with a broad range of industry leading applications. These mid-range cards offer more performance for 3D applications like computer aided design (CAD) and digital content creation (DCC) and more connectivity than the low-end models yet retain the single slot design, meaning they're still suitable for those looking to save on space. 08/04/15 Updated

NVIDIA Quadro graphics cards target workstation users and are certified for use with a broad range of industry leading applications. The cards here are considered entry-level and are priced and configured as such, but with up to 2GB of memory and support for up to 4 displays, they'll still deliver professional results in 3D applications such as computer aided design (CAD). Their low power consumption and single slot designs make them ideal for smaller workstations where power and space limitations are tight.

The NVIDIA Titan RTX is the latest high-end graphics card based on the Turing architecture, delivering silky smooth frame rates in games at 4K and VR, plus support for real-time ray tracing and AI workloads. Featuring 4608 cores and a whopping 24GB of GDDR6 memory the Titan RTX is the most powerful graphics card on the market.

NVIDIA's Tesla cards are designed for GPGPU (general purpose computing on graphics processing units), meaning they are added to systems and supercomputers to complement the existing CPU with a vast array of parallel cores that only a GPU can provide, increasing the potential throughput massively. Typically, they do not feature display outputs, so they're unsuitable for 3D workstations or gamers, but their massive number of cores and multiple gigabytes of memory make them ideal for applications such as computational fluid dynamics, weather modelling and financial computing.

An SLI (Scalable Link Interface) bridge is used to connect two or more NVIDIA graphics cards together for increased performance in games and applications. SLI bridges come in different sizes as the PCI-E slots are not always in the same place on motherboards, so make sure you buy the right size SLI bridge.