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Documentation Index

Fetch the complete documentation index at: https://docs.qbraid.com/llms.txt

Use this file to discover all available pages before exploring further.

The qBraid Lab GPU server is tailored for researchers and developers requiring enhanced computational capabilities. This high-performance Lab instance allows users to leverage GPUs for accelerated circuit simulation, to explore quantum machine learning applications with GPU-enabled quantum gradients, and more. B200, H100, A100, A6000, V100, and A10 class GPUs are available in various configurations. Billing is in credits/minute with rates shown in your account launcher. See GPU pricing.

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Launch GPU instance

Use the drop-down at the top of your account page to select the GPU Lab image, and then click Launch New Instance.
gpu_image
You will first see a “Starting GPU Server” panel while your server is being prepared - Once the GPU instance is ready, the status will change to “Running”. Click Open Running Server to access your GPU instance -
The GPU servers may take up to 15 minutes to launch compared to standard Lab instances, as the GPU resources are provisioned on-demand.

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Available GPU Configurations

qBraid offers a variety of GPU configurations to meet different computational needs. See pricing for a complete list. Further information can be retrieved using the NVIDIA System Management Interface (nvidia-smi) and NVIDIA CUDA Toolkit (nvcc) command line utilities.
Visit your account page to see the full list of GPU options including real-time availability.
We’re continuously adding more GPU resources to meet demand. If certain instances do not have capacity, check back periodically for availability.