Platform view

Compute platform structure

01 Compute goal
02 Nodes
03 Interconnect
04 Scheduling
05 Storage

02 / System integration and infrastructure

High-Performance Computing (HPC)

Build an HPC environment around CPU/GPU nodes, high-speed interconnects, shared storage and job scheduling that workloads can use continuously.

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HPC is not about adding more servers; it is about making nodes, networks, data and scheduling improve parallel efficiency together.

System objectsCPU/GPU nodes, high-speed interconnects, shared storage and job scheduling

Technical focusCompute nodes / InfiniBand / queue scheduling

Operational focusqueue time, network bottlenecks, resource contention and reruns

01 / Problem profile

HPC is not about adding more servers, but making parallel resources actually work

High-Performance Computing (HPC) projects are often split into equipment purchasing, network configuration and application delivery, while dependencies, capacity boundaries and operating ownership are not confirmed together.

For CPU/GPU nodes, high-speed interconnects, shared storage and job scheduling, the baseline, business goals and technical boundaries need to sit in one decision chain, showing which resources must coordinate, which traffic must be isolated and which incidents need automatic failover or human intervention.

This matters because when dealing with job scale, node utilization, parallel efficiency and energy use, the team can explain performance, availability, incident impact and expansion instead of only checking whether equipment is online.

Three core integration gaps

Reduce recurring delivery, connectivity and handover problems to three core gaps before sequencing the technical work.

Systems work separately but do not coordinate

Equipment or software can work alone, but interfaces, state and ownership across CPU/GPU nodes, high-speed interconnects, shared storage and job scheduling remain unclear.

Solves: define objects, boundaries and interfaces before commissioning.

Performance and capacity have no shared baseline

Individual equipment or metrics cannot show the true carrying capacity as job scale, node utilization, parallel efficiency and energy use grows.

Solves: assess capacity, performance, redundancy and growth together.

Incidents lack a clear action path

Without health checks, alert levels, failover conditions or rollback, incident response returns to guesswork and amplifies queue time, network bottlenecks, resource contention and reruns.

Solves: include validation, failover, recovery and ownership in delivery.

The environment cannot be maintained after delivery

Configuration, interfaces, monitoring, contacts and maintenance windows are not turned into updateable records, so expansion and change require rediscovery.

Solves: hand over a searchable, reviewable and maintainable technical baseline.

02 / Architecture

Connect the parallel-computing chain from nodes to job queues

Architecture is not a model list for CPU/GPU nodes, high-speed interconnects, shared storage and job scheduling; it connects carrying conditions, relationships, control policy and operating ownership in one technical chain.

Confirm the relationships across Compute nodes, High-speed interconnect, Storage and data, Scheduling and operations before deciding equipment, software, networking and delivery sequence, so problems are controlled before go-live.

Each layer needs inputs, outputs, verification and an owner, forming a traceable path from site to business result and supporting job scale, node utilization, parallel efficiency and energy use.

HPC nodes, high-speed networking and shared storage architecture — Organize CPU/GPU nodes, high-speed interconnects, shared storage and job scheduling into a technical chain that can be explained, verified and maintained.

Four relationship layers

Trace the chain from site connectivity to business operations

A system needs to be read in its relationships to understand which links, access rules, applications and operating actions a device change will affect. These four layers form one path from facility conditions to business outcomes.

Compute nodes

Compute nodes needs clear boundaries, connection methods, validation criteria and operating ownership.

High-speed interconnect

High-speed interconnect needs clear boundaries, connection methods, validation criteria and operating ownership.

Storage and data

Storage and data needs clear boundaries, connection methods, validation criteria and operating ownership.

Scheduling and operations

Scheduling and operations needs clear boundaries, connection methods, validation criteria and operating ownership.

03 / Technical scope

Break the HPC cluster into five verifiable technical surfaces

For CPU/GPU nodes, high-speed interconnects, shared storage and job scheduling, scope needs to be confirmed across site, platform, connectivity, operations and handover instead of being completed from a purchasing list alone.

The five surfaces cover Compute nodes, InfiniBand and high-speed networking, Parallel file and shared storage, Job scheduling and resource queues, Monitoring, optimization and handover; a missing surface pushes risk into commissioning or operations.

Breaking down the scope tells the project team what to install, verify and record, and who will maintain it afterwards.