If you're in the market for a compute platform that can run AI natively on IoT devices with the lowest power consumption, Groq is a good option. Its LPU Inference Engine is geared for high-performance, high-quality and low-power AI compute. It can run in the cloud or on-premises, so you can use it for different scaling needs while optimizing for power.
For a more distributed approach, AIxBlock is a peer-to-peer decentralized compute marketplace that can dramatically reduce compute costs. The platform includes tools for data collection, model deployment and on-chain consensus-driven live model validation. It's designed to help AI creators and compute providers by offering low-cost options for AI development and compute resource sharing.
Last, Anyscale is a platform for developing, deploying and scaling AI workloads with performance and efficiency in mind. It supports a broad range of AI models and includes features like workload scheduling, cloud flexibility and optimized resource utilization, making it a good option for IoT devices.