The ML/AI Frameworks offered by Gyrus AI aim to bridge the technological divide between high-performance hardware and high-level software languages. This framework serves as a reference point for evaluating new hardware architectures, measuring their performance, power, and memory utilization for a range of neural network architectures, including CNNs, RNNs, and LSTMs.
As hardware complexity increases with innovative architectures offering significant operations per second, these frameworks provide a crucial middleware layer that enhances efficiency. Gyrus AI develops middleware components to optimize the utilization of these hardware engines, ensuring that they can fully exploit the capabilities of advanced architectures such as Nvidia and AWS.
The framework supports competitive benchmarking against well-known architectures, maintaining a focus on power, performance, and efficiency metrics. By doing so, it facilitates the integration of AI solutions into enterprise environments, ensuring that the advanced computation power available is harnessed to its fullest potential. The ML/AI Frameworks from Gyrus AI empower organizations to stay ahead in the rapidly evolving landscape of AI technologies.
