Surogate

Surogate is a powerful framework designed to help train large language models (LLMs) efficiently. It is built to work well with NVIDIA GPUs, whether you are using just one or many across different computers. Surogate helps make the training process faster and more predictable, even as you work with larger models and datasets.

Benefits

Surogate allows for very fast training and fine-tuning of LLMs. It uses advanced techniques like mixed-precision training, which means it can use different levels of numerical accuracy to speed things up without losing too much quality. It also offers special ways to train models using different numerical formats like BF16, FP8, and NVFP4, which can significantly boost performance. The framework is designed to use GPU resources very effectively, leading to better throughput and lower latency. It also helps manage memory usage, making it possible to train larger models or use more complex settings.

Use Cases

This framework is ideal for developers and researchers who need to train or fine-tune LLMs for various applications. It can be used for tasks like building custom chatbots, developing content generation tools, or improving existing AI models with specific data. Surogate Studio, a part of the platform, is an enterprise-grade tool for managing the entire lifecycle of generative AI applications, from training and fine-tuning to deploying and running them. It supports both cloud and on-premises setups, making it flexible for different organizational needs. The platform is also useful for managing datasets and models, similar to a private version of popular model-sharing platforms.

Pricing

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Vibes

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Additional Information

Surogate is built to run on Linux systems with NVIDIA GPUs. It requires recent NVIDIA drivers, CUDA, NCCL, and cuDNN. The framework supports a wide range of NVIDIA GPU architectures, ensuring compatibility across different hardware, from consumer-grade cards to high-end datacenter GPUs. Surogate Studio is an open-source platform, suggesting a community-driven aspect alongside its enterprise capabilities.