Multi GPU 4U Rackmount Workstation for Machine Learning / AI
High-performance rackmount for GPU accelerated Machine Learning and Scientific computing.
Puget Labs Certified
These hardware configurations have been developed and verified through frequent testing by our Labs team. Click here for more details.
Overview
4U rackmount system for GPU accelerated Machine Learning applications
- Best workstation configuration for Machine Learning and Scientific computing GPU accelerated workloads
- Tested with TensorFlow, Pytorch, and other frameworks and scientific applications
- Full x16 PCIe slots
Not sure what you need?
Tell us your situation and one of our experts will reply within 1 business day to help configure the right workstation for your workflow. If you don’t see what you are looking for here, check out our other systems for more options.
System Ports
Back Ports:
- USB BIOS Flashback Button
- Clear CMOS Switch
- USB 2.0 Port(s)
- iKVM LAN Port (RJ-45)
- USB 3.2 Gen 2 (USB 3.1) Port(s)
- 10G LAN Ports (RJ-45)
- USB 3.2 Type C Port(s)
- USB 3.2 Gen 2×2 Type C
- VGA Out Port
- Audio Jacks
Front ports:
- Power Switch
- USB 3.2 Gen 1 (USB 3.0) Port(s)
- USB 3.2 Type C Port(s)