Visualisation and Design GPUs

The factors to consider when choosing the right graphics card for your organisation will depend on the complexity of your project and the industry you’re working in. Below is a breakdown of factors to consider for a few industries. If you don’t see your industry here, please feel free to get in touch so we can find the right solution for you.

Artificial intelligence
For those working with AI, we understand the complexity of your projects and suggest considering factors such as:

• Processing power: AI applications often involve large datasets and complex computations. These require a GPU with a high number of cores and high clock speeds.
• Memory capacity: AI models can be memory-intensive. Consider a card with ample memory (16GB or more) for handling large data sets, training modules and simulations.
• Tensor cores: If your AI application is using deep learning algorithms, consider cards with dedicated Tensor Cores. These accelerate matrix operations and improve training performance.

Engineering
For engineering firms, these are the most important factors you should consider when upgrading or purchasing a new GPU:

• Real-time visualisation: If your simulations require real-time visualisation of complex models, you’ll want a card that prioritises high frame rates and low latency for smoother interactions.
• Error correction: Accuracy is crucial in the engineering industry. To ensure the GPU meets your exacting accuracy standards, consider GPUs with Error Correction Code (ECC) memoryto prevent data corruption and ensure precise calculations.
• Certifications: The engineering industry works closely with graphics card manufacturers. To ensure optimal performance and compatibility, look for GPUs that are certified for specific engineering software packages.

Design

Design projects are often memory-intensive and require high-resolution output. Here are factors to consider when upgrading your organisation’s design GPUs:

• Colour accuracy: Accurate colour representation is vital for design work. Look for graphics cards that offer high colour fidelity and support for wide colour gamuts to ensure true-to-life visuals.
• Large monitor support: Designers often work with multiple high-resolution displays. Look for a GPU that supports multiple monitors at high resolutions without compromising on performance.
• Software optimisation: Choose a graphics card that is optimised for specific design software, such as Adobe Create Suite. This will ensure enhanced performance and compatibility.

Animation
Visualisation graphics cards play a crucial role by enabling the creation of complex and visually stunning content. They are essential for both 3D and 2D animation workflows. Consider the following factors for your graphics card:

• CUDA/OpenCL Support: Rendering and animation software often utilised CUDA or OpenCL for GPU-accelerated rendering. Choose a graphics card with strong support for both of these technologies.
• Memory bandwidth: High memory bandwidth is essential for efficient data transfer during rendering. Choose a GPU with high memory bandwidth to reduce rendering times.
• Ray tracing: For realistic lighting and reflections, consider cards with dedicated ray tracing cores. These accelerate ray tracing calculations and rendered scene visual quality.

No matter your industry, it’s crucial to also consider industry experts, review benchmark tests and consider specific workflows when making your final decision.