GPU loaner laptops

MFCF has eight high-end GPU-equipped laptops for researchers interested in exploring GPU computing before committing to an expensive workstation.  The laptops are available for short term loans. We also have a GPU in an external enclosure that you can connect to your own laptop.

  • one Dell Precision 7680 Linux Laptop with Intel Core i9-13950HX, 24-core in the 8P+16E format, 32 GB RAM, 1 TB M.2 SSD, and RTX 5000 GPU 
  • one Dell G15 with NVIDIA GeForce RTX 3070 Ti Laptop GPU that can be used with the NVIDIA CUDA libraries for computing
  • two Dell Alienware x16 R1 with RTX 4080 GPUs running Windows, including the Windows Subsystem for Linux (WSL)
  • two Apple 16" MacBook Pros with M2 Max 12-core CPU, 38-core GPU, and 16-core neural engine
  • two Apple 16" MacBook Pros with M3 Max 16-core CPU, 40-core GPU, and 16-core neural engine
  • one Razer Core enclosure with an NVIDIA RTX 3070 Ti GPU 

The CUDA libraries can be used with mathematical applications such as Python (Anaconda), R, and MATLAB. We have a collection of articles to help you with that. (CUDA is not supported on Apple GPUs.)

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Popularity: 4 Who can use this service: How to request this service:

Submit an MFCF request and use the resulting RT ticket number to fill out the laptop borrowing form.

Grad students must have their supervisor fill out the MFCF request.