AI GPU Server & Cluster Architecture Standard
Defines AI GPU server and cluster architecture across accelerators, memory, interconnects, storage, power, cooling, scheduling, observability, reliability, and lifecycle planning.
Standards / Cloud, Edge, and Physical Systems / MYTHOS-HW
Hardware and Trusted Compute
Cloud, endpoint, operational technology, telecommunications, hardware, IoT, realtime media, and web runtime. Visual language: Cloud planes, endpoint trust, OT zones, radio layers, compute fabrics, sensor graphs, media paths, and runtime isolation.
- Standards
- 2
- Pages
- 50
- Controls and criteria
- 36
- Companions
- 1
MYTHOS-HW
Hardware and Trusted Compute standards
2 of 2
MYTHOS-HW-0001 MYTHOS-HW-0002 Trusted Compute, DPU & Firmware Standard
Defines trusted compute, DPUs, firmware, secure boot, attestation, root of trust, hardware isolation, update integrity, and low-level platform assurance.
Companions
Guides and portfolios for this series
Field guides, living guides, and portfolio editions that decompose or consolidate the MYTHOS-HW standards.
MYTHOS-HW-PORT-0001 Hardware, Accelerated Compute, and Firmware Standards Portfolio
Portfolio Edition in the Standards Portfolios collection of the MYTHOS Engineering Standards Library.
Candidate status describes publication review state. It does not establish certification, legal compliance, implementation conformance, benchmark reproduction, or product readiness.