FluidStack
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Who is it for?
FluidStack can be useful for the following user groups:., Machine learning engineers., Ai researchers., Deep learning practitioners., Businesses implementing ai solutions
Description
FluidStack offers a cloud-based GPU service tailored for AI and large language model (LLM) training. Users can instantly access thousands of NVIDIA GPUs on-demand, enabling rapid provisioning of large-scale GPU clusters. This fully managed service allows developers to focus on their AI models while FluidStack handles the complex infrastructure. With dedicated 24/7 support, 99% uptime, and response times under 15 minutes, users benefit from efficient monitoring and proactive debugging. The tool supports various configurations, including Kubernetes and Slurm, and can seamlessly scale from single GPU instances to thousands, facilitating both training and inference tasks.
Technical Details
Use Cases
✔️ Rapidly deploy scalable GPU clusters for training large language models, enabling AI researchers to experiment with various architectures without worrying about infrastructure complexities.., ✔️ Utilize FluidStack to run inference tasks on demanding AI applications, ensuring high availability and low latency with instant access to thousands of dedicated GPUs.., ✔️ Streamline the development of AI projects by leveraging FluidStack"s 24/7 support and proactive debugging, allowing teams to focus on model optimization and performance enhancements rather than maintenance issues..
Key Features
✔️ Cloud-based GPU service., ✔️ On-demand access to NVIDIA GPUs., ✔️ Support for Kubernetes and Slurm., ✔️ Seamless scaling from single to thousands of GPUs., ✔️ Fully managed service for infrastructure handling.
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