Modal is a next-generation serverless platform designed for AI, data science, and machine learning teams. It facilitates the running of generative AI models, large-scale batch jobs, job queues, and much more. With Modal, developers can bring their own code, run it in the cloud without concerning themselves with infrastructure, and scale production workloads efficiently using thousands of CPUs and GPUs. Modal provides an effortless setup and integration for a high-performance computational environment, helping teams to innovate and develop faster with lower costs.

Nevermined offers a digital ecosystem-building solution that provides capabilities to create bespoke networks for various entities to interact. The platform employs smart contracts for access control and in-situ computation, allowing compute and data to move efficiently. This comprehensive solution includes built-in provenance, enabling efficient data and AI management. It supports transforming data and AI into monetizable assets, lowering entry barriers, and incentivizing collaboration in competitive environments.

The UP Xtreme i11 Edge Compute Enabling Kit is a powerful platform aimed at developers working on edge AI applications. This kit includes high-performance Intel® processors and supports various modules such as 5G for ultra-low latency communication. With pre-installed software, it streamlines the development of edge solutions that require computational efficiency and reliability. It features advanced graphics options and extensive connectivity to facilitate data-intensive applications in real-time, making it an essential tool for modern industrial automation and AI deployments.

Cerebras AI Agent leverages the unique architecture of the Cerebras Wafer Scale Engine to expedite deep learning model training. It provides unparalleled performance by enabling the training of deep neural networks with high speed and substantial data throughput, transforming research into tangible results. Its capabilities help organizations manage large-scale AI projects efficiently, ensuring researchers can focus on innovation rather than hardware limitations.