ENTERPRISE / PRIVATE CAPACITY
Reserve capacity around a real deployment plan: GPU type, node count, region, network isolation, data path and support model. Racklane gives teams a clear architecture conversation before a production commitment.
DEDICATED COMPUTE POD / ILLUSTRATIVE VISUAL
01 / CAPACITY
Make compute a planned resource.
Dedicated GPU pools support long-running jobs and predictable allocation across teams.
PRIVATE CLUSTERS
Isolate the cluster.
A dedicated compute environment shaped around your workloads and network boundary.
↳ Reserved GPU nodes
↳ Private fabric options
↳ Tenant-level VPC controls
RESERVED CAPACITY
Know what is available.
Discuss capacity windows, region placement and scale plans before the team migrates.
↳ H100 / H200 / B200 options
↳ Multi-node reservations
↳ Capacity review cadence
02 / PRODUCTION CONTROLS
Every layer has an owner.
Network, security and service policies belong in the architecture plan, not a vague feature checklist.
01
Networking
VPC segmentation, private ingress and east-west traffic paths for distributed compute.
02
Security controls
Access roles, audit paths and data boundary review during architecture consultation.
03
Reliability
Redundancy and recovery targets defined against the production workload, with SLA options discussed directly.
04
Priority support
An agreed escalation path and technical owner for capacity and cluster events.
05
SLA options
Commercial service terms tailored to reserved capacity and deployment requirements.
06
Migration support
Review checkpoints, images, orchestration and cutover before moving an existing workload.
03 / SOLUTION DESIGN
Start with an architecture review.
The first conversation maps your current workload to a practical cluster configuration.
WORKLOAD
Training / serving / rendering
CAPACITY
GPU model × node count
PLACEMENT
Latency / jurisdiction / availability
DATA PATH
Storage / checkpoint / ingress
All capacity, service levels and specifications shown are fictional template examples. Replace with verified terms before publication.
CAPACITY / ON DEMAND
Plan a production cluster.
Tell us your target GPU model, region, workload and deployment window.