Normalized claim
Platform scale: 10 x
The company scaled 10 times beyond its legacy environment
Ninestars achieves 10x scale on AWS by modernizing enterprise automation with AOTM's agentic AI
Use case typeTraining infrastructure modernizationUpdated Jun 18, 2026
Ninestars Information Technologies modernized its AOTM platform on AWS to support enterprise automation at greater scale. The company moved from a legacy on-premises virtualization stack to a cloud-native operating model with Amazon EC2 Spot Instances, Amazon EC2 Auto Scaling, Amazon EKS, Amazon S3, Amazon EBS, and AWS Security Hub. Ninestars also integrated Amazon Bedrock to support generative AI, intelligent orchestration, and hybrid inferencing for agentic AI workflows.
- Organization
- Ninestars Information Technologies
- Industry
- Tech & Comms
- Location
- India
- Published
- June 2026
Reported outcomes
Platform scale: 10×
Adoption & scale
Recovery objective: 1 hourDaily task volume: 6,000,000 tasks/day
Catalog median for adoption & scale deployments: +250% across 8 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Service level agreement reliability: 92-99.7% increase
improved service level agreement reliability from 92 percent to 99.7 percent
Correction recorded Jul 26, 2026 · Previously: % increase · Stored the 92% to 99.7% reliability transition as a 7.7 percentage-point increase.
Normalized claim
Recovery objective: 1 hours
set recovery objectives within 1 hour
Correction recorded Jul 26, 2026 · Previously: 1 hours · Corrected the singular duration unit.
Normalized claim
Total cost of ownership: 60% decrease
the move reduced total cost of ownership (TCO) by 60 percent
Normalized claim
Daily task volume: 6,000,000 tasks/day
process 6 million graphics-intensive tasks each day
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Ninestars Information Technologies
- Provider
- AWS
- Maturity
- Unknown
- Linked source
- AWS Solutions Case Study
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 2 of 2
- 1Training infrastructure modernization
- 2Workflow automation
- Ninestars migrated and modernized AOTM on AWS to create a more dynamic operating model.
- The platform uses Amazon EC2 Spot Instances and Amazon EC2 Auto Scaling to scale compute capacity cost-effectively.
- The environment includes Amazon EKS, Amazon EBS, and Amazon S3 for container orchestration and storage, along with AWS Security Hub for security visibility.
- Amazon Bedrock supports generative AI, intelligent orchestration, hybrid inferencing, and enterprise agentic AI workflows.
- The company scaled the platform 10 times beyond its legacy environment.
- Service level agreement reliability improved from 92 percent to 99.7 percent.
- Recovery objectives were set within 1 hour.
- Total cost of ownership was reduced by 60 percent.
- The platform processes 6 million graphics-intensive tasks each day.
Architecture
AOTM runs on a cloud-native AWS architecture using Amazon EC2 Spot Instances, Amazon EC2 Auto Scaling, Amazon EKS, Amazon EBS, Amazon S3, AWS Security Hub, and Amazon Bedrock. Ninestars also uses its own orchestration model to automate how workloads run, scale, and recover across multiple AWS Regions and Availability Zones.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Case StudyPublished: Jun 18, 2026Publisher: AWSEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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