AWS cloud engineered for AI products and enterprise workloads
AWS landing zones, GPU capacity, SageMaker and Amazon Bedrock, designed, secured and managed by an AWS Partner Network member.
Users
GPU EC2
S3 data
Bedrock
Monitoring
AWS cloud services for AI products and enterprises
Xpecto Cloud designs, migrates and manages workloads on Amazon Web Services for enterprises building AI products. We set up secure landing zones, GPU capacity, S3 data lakes, EKS clusters, SageMaker and Amazon Bedrock, and connect them to your data and applications with private networking.
Problems we solve
What you get with AWS Cloud
GPU instances and capacity
Plan and run GPU for training and inference.
SageMaker and Bedrock
Managed ML and generative AI services.
S3 data lakes
Durable storage for datasets and models.
VPC and private networking
Isolated networks, endpoints and VPN.
IAM and security
Least-privilege access and audit logs.
CloudWatch observability
Metrics, logs and alerts.
Cost optimisation
Budgets, savings plans and right-sizing.
Backup and recovery
Snapshots and disaster recovery.
Who AWS Cloud is for
Online businesses
Handle sales spikes without outages.
Software and SaaS
Run apps and APIs at scale.
Media and content
Store and deliver large files.
How we set you up
A structured path from first conversation to a secure, running platform, with your teams involved at every stage.
AWS Cloud: before and after
| Unmanaged cloud or old servers | AWS managed by Xpecto | |
|---|---|---|
| Cost | Unused resources keep billing | Right-sized and monitored |
| Migration | Big risky cutovers | Phased and tested |
| Security | Open or default settings | Least-privilege and logging |
| Scale | Manual capacity planning | Scale when traffic grows |
| Support | Forums and guesswork | Engineers who respond |
More about AWS cloud for AI
As a member of the AWS Partner Network, our engineers follow AWS best practice for security, reliability and cost. After launch we run the platform day to day with monitoring, patching, backup and monthly cost reviews.
Compare with Microsoft Azure or plan a cloud migration. Add cloud security, FinOps and private generative AI.
AWS Cloud FAQs
Request a free AI cloud architecture review
Share your workload, timeline and cloud preference. An enterprise cloud architect will review it and come back with a recommended approach.
- Workload and data assessment
- Reference architecture and security approach
- Cost and risk outline
- No obligation
Related solutions
Most enterprise programmes combine several of these. They work well with AWS Cloud.
Planning an AI product? Let us design the cloud it runs on.
Talk to an enterprise cloud architect. We will review your workload and recommend a secure, cost-controlled path to production.