AI infrastructure built for training and inference at scale.
ScaleCloud designs and builds AI infrastructure — GPU clusters, compute, storage, and networking — optimised for training and inference with FinOps, autoscaling, and high availability.
1K+ GPU cores.
40% cost saved.
99.9% uptime.
GPU & TPU.
Full-lifecycle AI infrastructure expertise
From provision to operate — select a stage to see the focus areas, deliverables, and tooling we bring.
Provision
1K+ GPUsProvision GPU clusters, compute, storage, and networking for AI workloads.
- GPU
- Compute
- Storage
- Clusters
- Network
- Storage
Ten services across the AI infra lifecycle
A complete AI infra practice — select a service to explore the outcomes and where it fits.
GPU Cluster Design
Design and provision GPU clusters for training and inference.
1K+ GPUsDepth across every AI infra domain
We deliver across the full AI infra portfolio — select a domain to see what it covers and where it fits best.
GPU & Compute
6 native servicesGPU clusters and compute for AI.
A production-grade AI infrastructure architecture
Compute, storage, networking, FinOps, availability, and edge layers. Select a layer to explore its components and design principles.
Storage Layer
2ms I/OHigh-I/O storage for AI data.
- Fast
- Tiered
- Cached
How we deliver AI infrastructure
Select a delivery track to explore our approach — design, optimise, and operate.
Design & Provision
1K+ GPUsDesign and provision GPU clusters, storage, and networking.
- Capacity planning
- GPU cluster design
- Storage architecture
- Network topology
- Autoscaling setup
- Quota management
- Provisioning automation
- Validation
AI infrastructure capability depth
Seven capability areas with detailed features — select an area to explore each component and what it delivers.
GPU & Compute
GPU clusters and compute.
- GPUTraining
- TPUSpecialised
- CPUInference
- ClustersGrouped
- QuotasLimits
- ElasticDynamic
- SchedulerQueue
- PreemptionReclaim
- Bin-packingPack
Start with a focused AI infra assessment
Three assessments that turn AI infra ambition into a scalable platform.
Infrastructure Readiness
Assess AI infrastructure readiness — compute, storage, networking, and FinOps.
Duration: 2–3 weeksRequest AssessmentCost Optimisation
Assess AI infrastructure cost and identify optimisation opportunities.
Duration: 1–2 weeksRequest AssessmentHA & DR Review
Review AI infrastructure high availability and disaster recovery.
Duration: 1–2 weeksRequest AssessmentOutcomes our AI infra practice delivers
1K+ GPU Cores
Scalable GPU clusters and compute provisioned for AI — 1K+ cores with autoscaling, elastic capacity, and 86% utilisation.
40% Cost Optimised
FinOps for AI with spot, reserved, rightsizing, and unit-cost tracking that cut infrastructure cost by 40%.
99.9% Available
High availability with multi-region failover, redundancy, and SRE practices — 99.9% uptime for production AI workloads.
Continue across the AI & Data ecosystem
Explore related AI & Data capabilities — select one to see its strengths and where it fits.
MLOps
ML pipelines and CI/CD.
Insights from our AI infra architects
Field-tested perspectives on GPU, FinOps, and HA — with author and read time.
GPU Clusters at Scale
Designing and provisioning GPU clusters with 1K+ cores for training and inference.
FinOps for AI Infrastructure
Spot, reserved, and rightsizing that cut AI infrastructure cost by 40%.
Low-Latency AI Networking
InfiniBand, RDMA, and topology for distributed training performance.
99.9% AI Availability
Multi-region, failover, and SRE that keep AI workloads available.
Edge Inference
Deploying low-latency, on-device AI with quantisation and federated updates.
Answers to common AI infrastructure questions
Readiness Score
Your transformation readiness at a glance
- Free 30-minute consultation
- 3-week AI infra
- NDA available on request
- No obligation, no pressure
Ready to build AI infrastructure?
Book a consultation with our AI infra architects and design GPU clusters, networking, and FinOps that scale AI with 99.9% uptime and 40% cost savings.