KI Accelerator for higher AI computing performance
To perform complex AI tasks efficiently and quickly, powerful hardware is required. AI accelerator, also known as a computational accelerator or accelerator card, is a hardware component for accelerating specific tasks or calculations. Unlike the CPUs found in most computers, accelerator cards are designed to perform calculations particularly efficiently.
AI accelerator by Aetina
To improve AI computing performance, existing edge systems can easily be extended with AI accelerators. Aetina offers AI accelerators with different form factors that realise high computing performance in limited space:
- M.2 AI accelerators - deep neural network inference with low power consumption
- Mini PCIe AI accelerators - mPCle series
- Mobile PCIe AI accelerators - MXM series - parallel processing performance for higher energy efficiency
M.2 and Mini-PCIe accelerators
The M.2 module and the Mini PCIe module are AI accelerators for AI applications that provide unprecedented AI performance for edge devices. Both can be quickly plugged into existing edge devices to run in real time. The M.2 module and Mini PCIe module are suitable for a wide range of market segments as they enable Deep Neural Network Inference with low power consumption.PCI Express accelerators
The Mobile PCI Express Accelerators (MXM series) are a compact COTS (commercial off-the-shelf) solution. They utilise parallel processing power and offer unmatched power efficiency. With its high processing power, the MXM AI accelerator is ideal for embedded systems that require high performance, size, weight and power consumption.
What are AI accelerators?
AI accelerators are specialised hardware components designed to speed up the execution of AI algorithms and tasks.
Unlike traditional processors, these accelerators are designed to maximise the parallel processing of data, significantly increasing the performance and efficiency of AI applications.
Real-time AI
AI accelerators represent a significant technological advance that is revolutionising the performance and efficiency of AI applications. With their specialised hardware and optimised processing, they enable companies to run complex AI algorithms in real time and achieve breakthrough advances in areas such as autonomous driving, facial recognition, medical diagnosis and much more.
The future of AI will undoubtedly be shaped by the capabilities of AI accelerators.
The importance of AI accelerators
Maximum performance: AI accelerators use special architectures and algorithms to perform complex AI calculations faster and more efficiently than conventional CPUs or GPUs. They offer higher computing power and enable the processing of large amounts of data in real time.
Specialised hardware: AI accelerators are specialised for AI tasks and therefore offer specific functions and optimisations to improve the execution of AI algorithms. This leads to a significant acceleration of AI processing and enables complex tasks to be completed in less time.
Energy efficiency: AI accelerators are designed to maximise energy efficiency and optimise energy consumption. Their specialised architectures allow them to perform complex computations with minimal energy consumption, resulting in improved overall efficiency.
Scalability: AI accelerators also offer the possibility of scalability. This means they can be used in clusters or in combination with other accelerators to further increase computing power. This flexibility allows companies to adapt their AI infrastructure to their specific requirements and expand it as needed.