I will fix cuda, pytorch, and deep learning environment errors on linux or windows
Python GPU Deployment Engineer
Informazioni su questo servizio
Are you struggling with Nvidia driver crashes, CUDA toolkit mismatches, or PyTorch GPU errors? I am here to help you solve them remotely.
As a professional Deep Learning Engineer with a degree in Mathematics and 5+ years of daily experience in AI deployment, I can resolve your GPU environment headaches quickly.
What I can do for you:
- Install compatible Nvidia Driver, CUDA, and cuDNN.
- Resolve "RuntimeError: Found no NVIDIA driver on your system" or "CUDA out of memory".
- Configure Anaconda/Miniconda isolated environments.
- Set up VS Code, PyCharm, or Jupyter Notebook to run PyTorch/TensorFlow on GPU.
- Dockerize your ML application for seamless deployment.
Supported OS: Ubuntu/Debian, CentOS, Windows, Windows WSL2.
Delivery Methods: SSH access, Anydesk, RustDesk, or TeamViewer.
PLEASE CONTACT ME BEFORE PLACING AN ORDER to discuss your hardware specifications and requirements!
Dispositivo:
Desktop
•
Laptop
•
Server
Sistema operativo:
Windows
•
Linux
•
Ubuntu
FAQ
What details should I provide before placing an order?
Please message me with your OS (e.g. Ubuntu 22.04 or Windows 11), GPU model (e.g. RTX 4090), and the exact error log or screenshot.
How do you perform the remote configuration?
I can connect via AnyDesk, RustDesk, TeamViewer, or SSH, whichever you prefer and find most secure.
