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OctoML, a Seattle-based startup, has officially announced the launch of their new AI platform, OctoML Compute Services. This new platform allows researchers, data scientists, and software engineers to quickly deploy and manage self-optimizing compute resources to run generative AI algorithms on cloud and on-premises computing hardware.

The platform works by automating the process of optimizing computational settings, enabling end-users to save time, resources and cost when deploying their GPU-accelerated AI algorithms. OctoML Compute Services allows users to schedule workloads, manage GPU compute resources and prioritize computations for real-time model training. Additionally, it compiles platform-specific optimizers to ensure the best possible performance of models deployed on cloud and on-premise hardware.

OctoML Compute Services is designed to help the rapidly growing field of generative AI, which relies on a deep understanding of complex data sets to generate meaningful insights. This technology increases the efficiency and accuracy of models by running continuous optimization experiments and tuning hyperparameters for best model performance. OctoML is the first platform to offer self-tuning workload schedulers, secure cloud computing services and algorithm-optimizing resources, providing businesses with a comprehensive approach for deployingAI workloads.

The platform is expected to revolutionize the way generative AI is deployed, enabling businesses to reduce compute costs and optimize model performance faster than ever before. OctoML’s approach to automating compute services is set to improve the scalability of AI workloads and enable data scientists and software engineers to utilize the latest GPU hardware with minimal effort.

With the launch of OctoML Compute Services, OctoML is showcasing their commitment to transforming the way AI is used to drive meaningful outcomes. The platform is already being used by leading technology providers in a variety of industries, including healthcare, finance and retail.