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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.

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Available GPU Configurations

qBraid offers a broad range of NVIDIA GPU instances spanning Blackwell, Hopper, Ampere, and Ada Lovelace architectures:
  • NVIDIA B200 (Blackwell) — Available in 1x, 2x, 4x, and 8x configurations
  • NVIDIA H200, H100 (Hopper) — Available up to 8x for large-scale workloads
  • NVIDIA GH200 (Grace Hopper) — Unified CPU-GPU superchip
  • NVIDIA A100 (Ampere) — Available up to 8x
  • NVIDIA L4, L40S, RTX 4090, RTX 5090, RTX 6000 Ada — Cost-effective options for development and inference
Billing is in credits/minute with rates shown in your account launcher. See GPU pricing for the full rate table.

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Launch a GPU Instance

From your account dashboard, switch to the On-Demand tab. Each GPU profile shows its per-minute credit rate and a real-time availability indicator. Click Launch next to an available profile to start the instance.
GPU instances may take a few minutes to provision as resources are allocated on-demand.
Once the instance is running, you can open it in JupyterLab, VS Code, or connect via the built-in terminal — all from the browser. See Accessing Your Instance for details.

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Managing GPU Instances

GPU instances are on-demand instances with full start, stop, and terminate support:
  • Stop — Pauses billing for compute while preserving your disk and files. Resume anytime.
  • Terminate — Permanently deletes the instance and its data. Stops all billing.
See On-Demand Instances for the complete lifecycle guide, including file persistence, billing details, and concurrent instance limits.

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GPU Utilities

Further information about your GPU hardware 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.