The environment changes the engineering answer.
Compute, storage and high-speed networks aligned to experimental workloads, collaboration and responsible data management. Good design starts with understanding the organisation’s constraints, existing systems and risk appetite.
OPERATING CONDITIONS
Typical pressures to resolve
01
High-volume data and specialised compute
02
Shared infrastructure access and performance
03
Data governance, reproducibility and recovery
OUR RESPONSE
From discovery through handover
01Profile workloads, users and datasets
Characterise experiments, user concurrency, dataset movement and the access policies needed by research teams.
02Model GPU, storage and fabric capacity
Size accelerators, storage throughput and fabric connectivity against representative workload targets.
03Pilot representative performance and access controls
Benchmark selected workloads while checking isolation, data protection and access controls.
04Establish operating procedures and lifecycle plans
Document platform ownership, upgrade cycles, support procedures and capacity-review triggers.
CONNECTED TECHNOLOGY