Neousys GPU Computing Platforms

Explore the Neousys GPU computing platforms built for high-performance edge AI, deep learning and rugged industrial applications. Designed to accelerate vision, inference and big-data workloads, Neousys solutions combine multi-GPU support, advanced cooling and durable design to deliver reliable performance even in harsh environments.

Backed by our long-standing expertise in embedded and industrial computing, our comprehensive range includes rack-mount, box-PC and fanless GPU platforms offering Intel or AMD CPUs paired with NVIDIA GPUs. Ideal for demanding applications from machine vision and autonomous systems to smart transportation and defence.

Speak to our friendly team today to find out how Neousys GPU platforms can power your next high-throughput compute project.

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Learn More About Neousys GPU Computing

Yes. Neousys GPU computing platforms include systems with NVIDIA GPU and NVIDIA Jetson support.

Yes. Impulse Embedded can support remote benchmarking to help you understand how a Neousys GPU computing platform performs with your specific workload before committing to a final specification. This can be particularly useful for AI inference, machine vision, image processing, video analytics and GPU-accelerated applications where real-world performance depends on the model, software stack, camera inputs, resolution, frame rate and thermal conditions. Our team can work with you to define benchmark criteria, test suitable hardware configurations and review performance indicators such as throughput, latency, GPU utilisation, CPU load, memory usage, storage performance and thermal behaviour. This helps reduce specification risk and gives you greater confidence that the selected Neousys platform is suitable for your deployment.

Key factors include the type of workload, required processing performance, power availability, thermal design, expansion needs and the environment in which the system will operate. It is also important to consider whether the application needs compact embedded hardware, a ruggedised platform, GPU expansion capability or compatibility with a particular development ecosystem.

Yes, systems can often be configured to suit the needs of the application, including processor choice, memory, storage, operating system and expansion options. This can help ensure the hardware is aligned with the intended software environment, performance target and installation requirements before deployment.Speak to our team to dicuss your requirements.

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