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Lightning AI, known for its flagship product PyTorch Lightning, is revolutionizing AI development with its latest offering, Thunder. Thunder is a source-to-source compiler designed to optimize AI model training and deployment across multiple GPUs. It integrates advanced tools like cuDNN and NVFuse from NVIDIA, which help consolidate and optimize the processing power required for neural networks, significantly improving efficiency and performance (SiliconANGLE) (Datanami).
Thunder is available as an open-source project under the Apache 2.0 license, making it accessible to the broader AI community. Lightning AI’s platform, Lightning Studios, provides a commercial cloud environment where users can leverage Thunder along with native profiling tools to maximize GPU utilization and streamline AI workflows. This setup is ideal for both individual developers and large enterprises, offering various pricing tiers to suit different needs (AllThingsAI) (EnterpriseAI).
Overall, Lightning AI’s solutions aim to simplify the AI development process, allowing for rapid prototyping, collaborative coding, and efficient deployment of AI models (Lightning AI) (AllThingsAI). For more detailed information, you can visit Lightning AI’s website (Datanami).
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