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Core quick-start guide

Desk-side workstations with one or two GPUs. From unboxing to a verified first boot.

Applies to: Core U, Core I, Core R

Safety first. Never open a power supply or work on mains wiring; use a licensed electrician. If you see coolant or smell burning, power off and unplug immediately. Your components’ manufacturer documentation takes precedence over this general guide.

01Unbox and inspect

  1. Inspect the shipping carton before you open it. If it is crushed, punctured or wet, photograph it first.
  2. Unpack on a clean, dry surface and keep all packaging. You may need it to ship a part back under the manufacturer’s warranty.
  3. Check the system for visible damage: dents, loose parts rattling inside, or bent connectors.
  4. Report shipping damage to sales@innfuse.ai right away, with photos. Do not power on a system that looks damaged.
  5. Let the system reach room temperature before you power it on if it arrived cold, so no condensation forms inside.

02Placement

  1. Place the tower on the floor or a sturdy desk with at least 15 cm (6 in) of free space at the front, back and top.
  2. Keep the air intakes clear of carpet, walls and dust. Hot exhaust air must not be pulled straight back in.

03Power

  1. A fully loaded two-GPU system can draw well over 1,000 W. Use a dedicated wall outlet on a circuit that isn’t shared with heaters, kettles or other heavy loads.
  2. Plug each power supply into its own outlet or PDU socket, not a shared power strip. Never use extension cords for a GPU system.
  3. If you are not sure a circuit can carry the load, have a licensed electrician check it. Don’t modify circuits, outlets or breakers yourself, and never open a power supply.

04Connect and power on

  1. Connect your monitor to a port on the NVIDIA graphics card, not to the motherboard’s video outputs.
  2. Connect keyboard, mouse and network, then press the power button.
  3. If the screen stays blank, check that the monitor is on the GPU’s output and set to the right input.

05First boot and software

  1. Your system ships with the operating system and software you chose on your quote, for example Ubuntu with the NVIDIA driver, CUDA, PyTorch and vLLM, or Windows.
  2. On first boot, create your user account, connect to the network and install updates: sudo apt update && sudo apt upgrade. Reboot afterwards.
  3. Kernel updates can need a matching NVIDIA driver. If nvidia-smi stops working after an update, reinstall the recommended driver with sudo ubuntu-drivers install and reboot.
  4. Keep work in Python virtual environments or containers so system packages and the driver stay stable.

06Verify the system

  1. Run nvidia-smi. Every GPU you ordered should be listed with its full memory size and no errors.
  2. Check the CPU and memory with lscpu and free -h, and storage with lsblk.
  3. Confirm PyTorch sees the GPUs: python3 -c "import torch; print(torch.cuda.is_available(), torch.cuda.device_count())".
  4. Run a 15–30 minute load test of your real workload while you watch temperatures with nvidia-smi -l 5. GPUs should hold steady well below their throttle point.
  5. Write down the serial numbers of the system and its GPUs (nvidia-smi -q | grep -i serial). You need them for any warranty claim.

07Getting help

  1. For setup, configuration, performance and troubleshooting questions, use the AI technical assistant in the chat (bottom right of any page). Paste exact error messages and command output for the best answers. It is best-effort, so verify before acting.
  2. Hardware faults (a dead part, failing memory, a GPU missing after basic checks) are covered by the component manufacturer’s warranty. The assistant can help you identify the failing part and its serial number.
  3. Warranty terms: see our quote and order terms at /terms/.