CelesTech Infra
AI & GPU Network Engineering
Design, validate, and operate high-performance Ethernet fabrics for GPU clusters — from architecture through production cutover.
Technical Guide
The problem
AI workloads expose network design weaknesses that general-purpose fabrics tolerate. Training jobs saturate east-west paths, congestion behavior affects job completion time, and operational blind spots show up only after scale.
What CelesTech does
CelesTech helps teams design and validate AI network fabrics with production discipline — architecture review, readiness gates, structured validation, and operational handoff for RoCE and high-performance Ethernet environments.
Capabilities in this domain
- GPU cluster fabric architecture and capacity planning
- RoCEv2 / high-performance Ethernet design review
- Congestion and telemetry visibility for AI fabrics
- Pre-production validation and acceptance testing
- Production-readiness review and operational runbooks
- Migration and expansion planning for growing GPU fleets
Business outcomes
- Fabric validated against workload requirements before go-live
- Operations team aligned on expected vs. anomalous behavior
- Documented rollback and escalation paths for fabric changes
- Reduced risk during cluster scale-out and platform expansion
Discuss a GPU Fabric Program
Talk with CelesTech about a scoped assessment or delivery program for your infrastructure initiative.