Deep Cloud & AI Expertise
150+ certified architects and a dedicated AI team delivering
secure, production-grade AI workloads at scale.
Whitepaper
FinOps for AI: Control Costs. Scale with Confidence
We optimize your entire stack - AI workloads + cloud services that power them.
Visibility and optimization across
AI workloads & infrastructure
Cost attribution across teams,
containers, and workloads
Compare models by cost,
performance, and workload fit
Built for Bedrock, SageMaker,
EKS, ECS, and multi-cloud AI
The Cost Challenges of
Scaling AI
Scaling AI
AI adoption is accelerating - but costs are becoming harder to predict and optimize. We consistently
see the same set of challenges across our customer environments.
see the same set of challenges across our customer environments.
Dynamic Pricing Complexities
Token-based AI pricing is highly variable, making costs unpredictable and difficult to forecast.
GPU Inefficiencies
Idle and over-provisioned GPU resources drive unnecessary spend and infra wastage.
Limited Cost Visibility
Lack of granular insights across models, tokens, containers and workloads limits cost transparency.
AI Infrastructure Complexity
Managing AI costs across GPUs, containers, and cloud environments is increasingly complex.
Uncontrolled Experimentation
Rapid AI iteration without guardrails leads to escalating and unmanaged costs.
Fragmented AI Environments
AI workloads across clouds lack unified visibility, governance, and cost control.
FinOps for AI - Across Every Phase of Adoption
From initial builds to large-scale deployments, CloudKeeper helps you control, optimize, and govern AI costs at every step.
Build Right
01
Design AI workloads with cost efficiency built in
from the start.Choose Right
02
Select models based on cost, performance, and
use-case fit.Scale Right
03
Continuously optimize tokens, GPUs, and workloads at scale.
FinOps Expertise and Support:
Continuous guidance to optimize costs, enforce governance, and scale efficiently
Continuous guidance to optimize costs, enforce governance, and scale efficiently
Our Full-stack Solution for
FinOps for AI
FinOps for AI
A structured set of capabilities to help you optimize models, GPUs, infrastructure, and workloads through a unified FinOps approach.
AI Model Comparison &
Intelligence Platform
Token cost comparison across leading models Cost vs performance benchmarking Use-case-based model recommendations Scenario-based cost estimation
AI Visibility & Intelligence
Platform Usage analytics and spend tracking Performance monitoring across models Cost allocation and reporting Optimization recommendations
- AI Infrastructure & Usage Optimization Bedrock invocation and token-level cost visibility GPU utilization, rightsizing, and idle resource optimization AI workload cost attribution across EKS and ECS RI, Savings Plan, and Spot optimization for AI workloads
- GenAI Readiness and
Launchpad Rapid PoC development with reusable frameworks Cost-aware architecture and model selection Cloud-native deployment across AWS and GCP Built-in cost optimization from Day 1
- Claude Model Access &
Cost Governance Authorized access to Claude via Amazon Bedrock Simplified procurement and unified billing Token usage tracking and cost optimization Enterprise-grade governance and compliance
Why CloudKeeper?
Our Journey
CloudKeeper has spent over 15 years mastering cloud cost optimization, delivering guaranteed savings at scale. With a dedicated AI Center of Excellence and innovations like LensGPT, our AI for FinOps platform, we’re now extending that expertise into AI infrastructure, workload optimization, and FinOps for AI. With businesses increasingly adopting AI, we bring the same proven discipline to help you control costs and scale with confidence.
Our Capabilities
Multi-Cloud Capability
Deep expertise across AWS, Google Cloud and Azure for
flexible, optimized AI infrastructure and workloads.
Reusable AI Frameworks
Pre-built prompt chains, evaluation scripts, and UI components
to accelerate GenAI development.
Enterprise-Ready by Design
Secure, compliant, and scalable architectures built for
enterprise environments.
Authorised Reseller of Anthropic’s Claude AI Models.
Certified AWS AI
Services Provider
Build and Scale AI with Cost Confidence
Move from experimentation to production with complete cost visibility and control.
Related Resources
In-depth, research-led content from our certified FinOps & cloud experts
Frequently Asked Questions
- Arrow1.What is FinOps for AI? Q1. What is FinOps for AI?
FinOps for AI is the practice of managing and optimizing the costs of AI models, GPUs, cloud infrastructure, and AI workloads while maintaining performance, governance, and scalability. It extends traditional FinOps principles to address the unique challenges of AI adoption.
- Arrow2.Why do AI workloads require a different FinOps approach? Q2. Why do AI workloads require a different FinOps approach?
AI workloads introduce cost variables such as token consumption, model selection, GPU utilization, inference patterns, and experimentation cycles. These factors require specialized capabilities in visibility, attribution, governance, and optimization beyond traditional cloud cost management.
- Arrow3.What AI costs can CloudKeeper help optimize? Q3. What AI costs can CloudKeeper help optimize?
CloudKeeper helps optimize costs across AI models, token usage, GPUs, Amazon Bedrock, Amazon SageMaker, EKS, ECS, cloud infrastructure, storage, networking, and supporting cloud services that power AI workloads.
- Arrow4.How does CloudKeeper help reduce AI infrastructure costs? Q4. How does CloudKeeper help reduce AI infrastructure costs?
We identify inefficiencies across GPU utilization, AI infrastructure sizing, containerized workloads, cloud resource consumption, and model usage patterns. Our recommendations help improve resource efficiency and reduce unnecessary spend.
- Arrow5.Can CloudKeeper help compare AI models before deployment? Q5. Can CloudKeeper help compare AI models before deployment?
Yes. Our AI Model Comparison Platform helps organizations evaluate models based on cost, performance, and use-case suitability, enabling informed decisions before moving workloads into production.
- Arrow6.How does CloudKeeper provide visibility into AI costs? Q6. How does CloudKeeper provide visibility into AI costs?
Our AI Visibility Platform provides detailed visibility into AI spending, including model usage, token consumption, workload costs, cloud infrastructure expenses, and cost allocation across teams, applications, and environments.
- Arrow7.Does CloudKeeper support multi-cloud AI environments? Q7. Does CloudKeeper support multi-cloud AI environments?
Yes. We support AI workloads running across AWS, Google Cloud, Azure, and hybrid environments, providing centralized visibility and optimization across cloud platforms.
- Arrow8.Can CloudKeeper help organizations that are just starting their AI journey? Q8. Can CloudKeeper help organizations that are just starting their AI journey?
Absolutely. Through our GenAI Readiness & Launchpad offering, we help organizations design cost-aware architectures, select appropriate models, accelerate proof-of-concepts, and build AI solutions with cost optimization in mind from the beginning.
- Arrow9.What AI expertise does CloudKeeper bring to FinOps for AI? Q9. What AI expertise does CloudKeeper bring to FinOps for AI?
CloudKeeper combines deep cloud cost optimization expertise with dedicated AI capabilities. Our team includes certified cloud architects, AI specialists, and FinOps practitioners who help organizations design, deploy, govern, and optimize AI workloads at scale.
- Arrow10.Is CloudKeeper an AWS AI Services Provider? Q10. Is CloudKeeper an AWS AI Services Provider?
Yes. CloudKeeper is a Certified AWS AI Services Provider with expertise across services such as Amazon Bedrock, Amazon SageMaker, EKS, ECS, and other AWS technologies that support AI and machine learning workloads.
- Arrow11.How does CloudKeeper help organizations use Anthropic's Claude models? Q11. How does CloudKeeper help organizations use Anthropic's Claude models?
CloudKeeper is an authorized reseller of Anthropic's Claude models. We help organizations access Claude through Amazon Bedrock, simplify procurement and billing, implement governance controls, monitor usage, and optimize AI costs across their deployments.
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