Lambda offers GPU cloud and computing resources tailored for deep learning and research, serving organizations like Intel, Google, and various top universities.

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For AI and machine-learning engineers and researchers who need GPU compute without managing local hardware, Lambda provides cloud instances and multi-GPU clusters for demanding workloads. Users can choose a GPU configuration, connect to a Linux instance over SSH or through JupyterLab, and work with common machine-learning frameworks and NVIDIA tools that come preinstalled. Persistent networked filesystems can hold datasets and project files across instances, while the cloud console and API let users launch, manage, and terminate resources. Lambda is suited to training and fine-tuning models, running experiments, and serving AI workloads; it is aimed at users comfortable working in Linux and development environments.

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