Can I switch from Paperspace to bare metal GPU servers?

Yes — in most cases you can switch from Paperspace to bare metal GPU servers, and it can be a good move if you want:

• more predictable performance
• lower cost at steady usage
• full hardware control
• fewer virtualization limits

A few things to check first:

1) What you use Paperspace for

• ML training / inference: usually easy to migrate.
• Remote desktop / dev workstations: possible, but you’ll need a replacement for the desktop environment.
• Storage-heavy workflows: you’ll need a plan for disks, backups, and data transfer.

2) GPU compatibility

Make sure the bare metal provider offers:

• the same or similar GPU class
• enough VRAM
• supported drivers/CUDA version
• any needed multi-GPU support

3) Software migration

You’ll likely need to recreate:

• OS image or base environment
• NVIDIA drivers and CUDA stack
• Python/conda/containers
• datasets, checkpoints, and volumes

Using Docker or an AMI/image equivalent makes this much easier.

4) Networking and access

Bare metal is often more manual for:

• SSH access
• firewall setup
• static IPs
• remote desktop/VNC if needed
• file transfer

5) Operational tradeoffs

Bare metal gives you more control, but you lose some managed convenience:

• provisioning may take longer
• upgrades are on you
• recovery/monitoring is your responsibility

Good migration path

1. Audit your current Paperspace setup
2. Pick a bare metal provider with matching GPU specs
3. Clone your environment with Docker/Anaconda/scripts
4. Transfer data and test workloads
5. Compare performance and cost before fully switching

If you want, I can help you compare Paperspace vs bare metal for your specific workload and suggest providers based on your GPU, budget, and use case.