Cloud, Your Way
Tuple manages cloud infrastructure across every major provider — AWS, Azure, and Google Cloud — and the next generation of GPU-first clouds like Nebius, Paperspace, and RunPod. One team, any cloud.
Full-spectrum expertise across AWS, Azure & GCP
AWS
Migration, managed services, storage, networking, security, and cost optimization across the full AWS service catalog.
- S3, EBS, RDS, DynamoDB, Redshift
- VPC, Route 53, CloudFront, Direct Connect
- IAM, GuardDuty, WAF, KMS
- CloudWatch, CloudTrail, Systems Manager
Microsoft Azure
Azure infrastructure, identity, and hybrid cloud — from VM workloads and AKS to Entra ID, Azure DevOps, and cost management.
- Azure Virtual Machines & AKS
- Azure Active Directory / Entra ID
- Azure DevOps & GitHub integration
- Azure Cost Management & Advisor
Google Cloud
GCP compute, data, and AI infrastructure — BigQuery, GKE, Vertex AI, and Cloud Run for modern data and ML workloads.
- GKE & Cloud Run
- BigQuery & Dataflow
- Vertex AI & Gemini APIs
- Cloud IAM & Security Command Center
GPU-first clouds for AI & ML workloads
When hyperscaler GPU capacity is too expensive or constrained, Tuple provisions and manages infrastructure on next-generation GPU clouds — purpose-built for training, inference, and fine-tuning.
High-performance NVIDIA GPU clusters for AI training and inference at scale, with Kubernetes-native orchestration.
- H100 / A100 cluster provisioning
- Kubernetes GPU scheduling
- Object storage and networking
- Cost-efficient training runs
Managed GPU compute for ML workflows — from notebooks and Gradient deployments to persistent storage and team collaboration.
- Gradient notebook and job environments
- Persistent storage and datasets
- Team and project management
- Model deployment endpoints
Serverless and on-demand GPU pods for inference, fine-tuning, and batch workloads with rapid spin-up and competitive pricing.
- Serverless GPU inference endpoints
- On-demand and spot GPU pods
- Custom Docker container support
- Autoscaling for inference workloads
Everything you need, cloud-agnostic
Cloud Migration
Seamless workload migration from on-premises or competing clouds — minimizing downtime, de-risking cutover, and optimizing for the target cloud.
Cost Optimization
Continuous spend analysis, rightsizing, savings plan recommendations, and budget alerting via the Stratos platform across all cloud providers.
Multi-Cloud Networking
Secure, high-performance connectivity across clouds — VPNs, peering, private endpoints, and unified DNS.
Security & Compliance
Identity, access management, posture monitoring, and compliance tooling across AWS, Azure, GCP, and neo-cloud environments.
DevOps & IaC
Terraform, Pulumi, and cloud-native IaC automation with CI/CD pipelines, drift detection, and approval-gated deployments.
GPU & AI Infrastructure
Purpose-built infrastructure for AI/ML workloads — from hyperscaler GPUs to neo-cloud burst capacity with cost-aware scheduling.
Cloud + Stratos Platform
AI-powered cost optimization across every cloud
When your cloud infrastructure is managed through Tuple, Stratos AI agents continuously analyze spend, detect waste, and recommend optimizations — across AWS, Azure, GCP, and neo-clouds simultaneously.
Ready to simplify your cloud?
Talk to a Tuple cloud specialist and get a custom migration or optimization plan — for any cloud.
Schedule a Consultation