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Why SOL AI Framework Compatibility
SOL for AI Developers SOL for Hardware Manufacturers
SOL for AI Developers

Optimize, integrate and innovate faster – accelerate AI development with SOL

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AI developers face the dual challenge of optimizing AI models for peak performance in various AI frameworks while adhering to stringent development timelines. The complexity of calibrating models for different hardware and the need for rapid iteration cycles often reduce development efficiency.

How SOL can help

SOL addresses these challenges by providing a plug-and-play optimization. With just a single line of code, SOL effortlessly integrates with major AI frameworks such as TensorFlow and PyTorch, automating the optimization process to enhance training and inference speeds and cut down on memory and power consumption, all while maintaining model accuracy.

Figure 9. SOL – automatically combining many different optimizations while ensuring optimization at functional equivalence

SOL optimizes AI models through intelligent optimizations

By combining multiple smart optimizations suitable for the user’s neural network, SOL frees developers from the intricacies of optimization. This shift allows them to concentrate on crafting algorithms and pushing the boundaries of AI, significantly reducing the time from development to deployment.

Figure 10. SOL automated optimization capabilities

Optimize and automate with one-line import

With SOL's streamlined one-line code integration for AI optimization, developers can sidestep the hurdles of specialized optimization knowledge and resource constraints. The result? Accelerated AI product development, optimized model performance and a faster route to market.

Figure 11. SOL one-line Python import

Improving AI development pipelines with SOL

SOL simplifies AI development, bringing it as close to the ideal process as possible.