generated: '2026-08-21' method: searched source: https://gigaio.com/composition-software/fabrex-cli/ description: >- GigaIO documents a first-party command line interface — the FabreX CLI — on its own product site, positioned alongside DMTF Redfish RESTful APIs as the two ways to drive composition of the FabreX fabric. The page is marketing, not reference: no binary name, no install method, no command groups and no example invocations are published. Readers are told to "CONTACT US for details on APIs". name: FabreX CLI vendor_status: >- FabreX is now a d-Matrix trademark following the April 2026 sale of GigaIO's datacenter technology and assets to d-Matrix; GigaIO continues to market FabreX software as part of its edge systems. Forward ownership of the FabreX CLI surface may sit with d-Matrix. install: [] install_note: No install method (package, tarball, container, or repo) is published publicly. binary: null commands: [] commands_note: >- NOT CAPTURED. No command names, groups, flags or example invocations appear on any public GigaIO page. The command reference is in the customer support knowledge base behind an Atlassian login. Nothing is invented here. capabilities: - Compose and decompose bare-metal resources (GPU, FPGA, NVMe, DRAM) to a server - Control of the network and attached resources across the PCIe/CXL fabric - Scripting and automation via Chef, Puppet, Ansible and Robot Framework - Alongside Redfish RESTful APIs for fabric automation, orchestration and job management integrations: devops: [Ansible, Chef, Puppet, Robot Framework] schedulers: [Slurm, OpenPBS, PBS Pro, LSF, Altair Grid Engine, Kubernetes] evidence: - url: https://gigaio.com/composition-software/fabrex-cli/ http_status: 200 - url: https://gigaio.com/products/fabrex-software/ http_status: 200 note: >- "GigaIO also provides an integration guide and an easy to use CLI to allow any customer to build playbooks, blueprints, or just straight API calls for personalized integration and seamless integration with Ansible, Chef, Puppet and other commonly used DevOps tool sets."