As with our Aloha and AI hardware, our goal here was to deliver a computer equipped with exactly the hardware and tools you need to get your work done — and nothing more.
No overpriced PRO graphics cards, no bloatware, no service contracts, no unnecessary extras.
Instead, you get a powerful machine learning workstation with perfectly balanced hardware and outstanding price-to-performance value.
Technical Specifications
- Intel Core Ultra 9 285K
- NVIDIA RTX 5090 with 32 GB VRAM
- 64 GB DDR5 RAM (5600 MHz)
- 2 TB Gen5 M.2 SSD
- 1200 W power supply (ATX 3.1 / PCIe 5.1)
- 360 mm AIO CPU cooler
- 7 ultra-quiet chassis fans
- GPU support bracket
- Lifetime product support
- Extended 3-year warranty
Built for Machine Learning Workflows
The TOTL Workstation is:
- Preloaded with Ubuntu 24.04 LTS
- Powered by top-tier consumer GPUs for optimal performance per dollar
- Designed by the team trusted by Stanford, DeepMind, CMU, Physical Intelligence, and many others
Whether you’re running PyTorch, JAX, Isaac Gym, or ROS — this system won’t hold you back.
Includes the ML Tools You Actually Need
From CUDA to ROS, the Trossen TOTL Workstation delivers everything ML researchers and engineers need — without the bloatware.
- Trossen C++ & Python drivers
- ROS 2 Jazzy
- CUDA
- Trossen Data Collection GUI
- Trossen stable fork of LeRobot
- PyTorch
- RealSense SDK
- Miniconda
- FFmpeg
- NumPy
- and more
Don’t Overpay for “PRO” Graphics Cards
Machine learning workflows do not benefit from the PRO-level drivers associated with professional graphics cards. The Trossen TOTL Workstation is equipped with the NVIDIA RTX 5090. It uses the same chipset as the NVIDIA RTX 6000 PRO, comes with 32 GB of VRAM, and costs a remarkable USD 8,000–12,000 less.
