Shypd.aiThe largest open index of AI toolsTensorfuse simplifies deploying, fine-tuning, and auto-scaling generative AI models on AWS/Azure/GCP. It offers serverless inference, batch jobs, and job queues for efficient GPU workload management.
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Tensorfuse is a platform designed to streamline the deployment, fine-tuning, and auto-scaling of generative AI models across major cloud providers like AWS, Azure, and GCP. It enables users to run serverless inference, manage batch jobs, and utilize job queues efficiently. The platform boasts features like fast cold boots for GPU workloads, multi-LoRA inference for hot-swapping thousands of adapters, and secure private data management within the user's cloud. Tensorfuse supports popular training libraries such as Axolotl, Unsloth, and Huggingface, offering flexibility for custom training loops. It also provides Dev Containers for connecting local ML code to cloud GPUs, accelerating development and reducing costs by up to 30%.
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