Solving Our AWS bill tripled in 6 months and we don't know why for AI/ML
Expert Fractional CTO Solutions for AI/ML & Deep Tech Companies
This problem has significant impact on AI/ML companies, affecting operational efficiency, customer satisfaction, and competitive positioning. Our fractional CTO services provide AI/ML & Deep Tech-specific expertise to resolve this challenge quickly and sustainably.
How "Our AWS bill tripled in 6 months and we don't know why" Impacts AI/ML
This problem has significant impact on AI/ML companies, affecting operational efficiency, customer satisfaction, and competitive positioning. In the AI/ML & Deep Tech sector, this problem manifests differently than in other industries, requiring specialized expertise and industry-specific solutions.
Business Impact
Cloud costs consuming 35% of revenue vs 15% industry benchmark. Burning $500K annually on unnecessary infrastructure. Can't reach profitability with current unit economics. Investors questioning operational efficiency. Had to cut marketing budget to cover unexpected infrastructure costs.
AI/ML & Deep Tech Specific: Revenue loss, customer churn, competitive disadvantage
Team Impact
Developers provisioning resources without considering cost. DevOps overwhelmed trying to track down cost sources. No one willing to shut down resources fearing they might be important. Team morale low from constant cost-cutting pressure in other areas while infrastructure waste continues.
AI/ML & Deep Tech teams face unique pressure and expertise requirements
Leadership Impact
CFO escalating infrastructure costs to board. Being compared unfavorably to competitors with lower cloud costs. Embarrassed by operational inefficiency. Afraid to check AWS bill each month. Investors questioning if leadership team can manage resources responsibly.
Critical for AI/ML & Deep Tech founders and technical leaders
Warning Signs for AI/ML
AI/ML & Deep Tech Red Flag
Model training taking 3x expected time
AI/ML & Deep Tech Red Flag
Inference latency exceeding SLA
AI/ML & Deep Tech Red Flag
Model drift detection failing
General Symptom
Cloud costs increasing 15-30% monthly with no corresponding growth
General Symptom
Can't explain what majority of cloud spending is for
AI/ML & Deep Tech Compliance Risks
This problem can jeopardize critical compliance requirements for AI/ML & Deep Tech companies:
Our AI/ML & Deep Tech-Specific Approach
We combine deep AI/ML & Deep Tech industry expertise with proven problem-solving methodologies to deliver solutions that work in your specific context.
Solution Framework
Cloud cost optimization requires systematic approach - audit to understand spending, eliminate obvious waste, right-size resources based on actual usage, implement monitoring and governance to prevent costs from spiraling again. We use data-driven approach examining actual resource utilization, not guesses about what you might need. Most organizations can cut costs 40-60% without impacting performance.
For AI/ML & Deep Tech companies, we adapt this approach to account for industry-specific challenges including model training, mlops, and more.
Implementation Timeline
Cloud Cost Audit and Waste Identification
We conduct comprehensive audit of cloud spending across all services, regions, and accounts. We analyze cost trends, identify top cost drivers, and categorize spending by service, team, project, and environment. We identify unused resources (servers not receiving traffic, databases with no connections, storage volumes detached from instances), idle resources (development instances running 24/7), oversized instances (16GB RAM servers using 2GB), inefficient architectures (NAT gateways costing more than necessary, data transfer patterns, inefficient storage tiers), and redundant resources (duplicate databases, overlapping services). We implement proper tagging strategy to attribute costs accurately. You'll get detailed cost breakdown showing exactly where money is going and prioritized list of optimization opportunities with estimated savings. This audit typically identifies 50-70% waste that can be eliminated immediately.
1-2 weeks
AI/ML & Deep Tech optimizedQuick Wins - Eliminate Obvious Waste
We immediately eliminate waste with minimal risk - shut down unused resources after verification, delete unattached storage volumes, terminate idle instances, remove orphaned resources from deleted projects, clean up old snapshots and backups, consolidate redundant resources. We implement auto-shutdown for development/staging environments running only during business hours. We delete test resources no longer needed. We optimize storage tiers moving infrequently accessed data to cheaper storage. We right-size obviously oversized instances (64GB RAM instance using 4GB). We review and cancel unused SaaS subscriptions and cloud services. These quick wins typically reduce costs 30-40% within 2-3 weeks with zero business impact and often improved performance from cleaner infrastructure.
2-3 weeks
AI/ML & Deep Tech optimizedStrategic Right-sizing and Architecture Optimization
We analyze actual resource utilization patterns over time using CloudWatch metrics to right-size instances based on real usage, not speculation. We implement auto-scaling so capacity matches demand - scale up during business hours, down at night and weekends. We optimize database instances based on actual query patterns and connection counts. We redesign inefficient architectures - replace expensive NAT gateways with VPC endpoints where appropriate, optimize data transfer patterns, implement CloudFront caching to reduce origin traffic, use spot instances for non-critical workloads, implement reserved instances for predictable baseline load (40-60% savings vs on-demand). We optimize storage using lifecycle policies to move old data to cheaper tiers. We review and optimize serverless architectures (Lambda, Fargate) for cost efficiency. This phase typically yields additional 20-30% savings beyond quick wins.
4-6 weeks
AI/ML & Deep Tech optimizedCost Governance, Monitoring, and Culture
We implement cloud cost governance to prevent costs from spiraling again. We set up budget alerts at team and project level, implement approval workflows for large resource requests, create cost reporting dashboards showing trends and anomalies, and establish regular cost review meetings. We implement proper tagging policies and enforce them programmatically. We create cost optimization runbooks and train team on cost-conscious practices. We establish cost metrics tied to business metrics (cost per customer, cost per transaction) to measure efficiency. We implement FinOps practices with shared responsibility between engineering and finance. We set up anomaly detection alerting on unusual cost spikes. We create internal showback/chargeback so teams understand their cost impact. This ensures cost optimization is sustained and becomes part of culture.
2-3 weeks
AI/ML & Deep Tech optimizedTypical Timeline
30-40% cost reduction in 3-4 weeks, 50-60% total reduction in 2-3 months, ongoing optimization
For AI/ML & Deep Tech companies
Investment Range
$12k-$20k/month for 2-3 months, typically saves 5-10x that in reduced cloud costs within first quarter
Typical for AI/ML & Deep Tech engagement
What You Get: AI/ML & Deep Tech-Specific Deliverables
Comprehensive assessment of our aws bill tripled in 6 months and we don't know why in ai/ml context
AI/ML & Deep Tech-specific solution roadmap with timeline and milestones
Technical architecture recommendations tailored to your industry
Implementation plan with risk mitigation strategies
MLOps pipeline architecture and model training optimization
Feature engineering framework and data pipeline automation
Model deployment strategy and inference performance optimization
AI/ML & Deep Tech Tech Stack Expertise
Our fractional CTOs have extensive experience with the technologies your AI/ML & Deep Tech company uses:
languages
frameworks
databases
Success Metrics for
When we solve "Our AWS bill tripled in 6 months and we don't know why" for AI/ML & Deep Tech companies, you can expect:
Improvement in key performance metrics
To full resolution and sustainability
AI/ML & Deep Tech compliance maintained
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Learn about AI/ML & Deep Tech solutions →Ready to Solve Our AWS bill tripled in 6 months and we don't know why in Your AI/ML & Deep Tech Company?
Get expert fractional CTO guidance with deep AI/ML & Deep Tech expertise. Fast resolution from $2,999/mo.