Sold by: IBM Software
Deployed on AWS
IBM Turbonomic is an AI-powered software that provides hybrid cloud cost optimization to eliminate overspending and unlock elasticity without compromising performance. IBM Turbonomic ensures applications always perform at the lowest cost by continuously generating optimization actions that dynamically match application demand to infrastructure supply. Because the analytics engine accounts for the resource needs and dependencies across the full stack (from application to platform to hardware) IBM Turbonomic recommendations are trustworthy, allowing IT engineers, operations and application teams to confidently integrate the automation into organizational pipelines and processes for immediate outcomes that last.
4.5
Overview
Cloud Cost Optimization
Contain cloud spend while preserving application performance with automated cloud cost optimization tools.
Accelerate Cloud Migration
Safely accelerate cloud migration projects with accurate, easy-to-use planning capabilities.
Operationalize FinOps
Maximize your return on investments through automation that helps eliminate overspending in hybrid and multi-cloud environments.
Sustainable IT
Create an efficient, sustainable cloud environment by removing over-provisioning waste.
Future-Proof Platform
Analytics can be extended to future technologies because it is grounded in the fundamentals of IT, matching demand to supply across hybrid cloud, multi-cloud, edge and beyond.
Deployment Options
With IBM Turbonomic Application Resource Management On-Prem, you decide where and how to deploy the software. You can deploy to it to a virtual machine platform or to a Kubernetes cluster running on your own hardware or your favorite cloud computing service provider.
For more details about IBM Turbonomic, visit IBM.com: https://www.ibm.com/products/turbonomic
Find the right size for your IBM Turbonomic solution and estimate your price: https://ibm.biz/turbonomic-pricing-aws
For custom pricing and sales inquiries, contact us here: https://ibm.biz/turbonomic-private-offer
Highlights
- Get complete visualization of your application and infrastructure stack to continuously help ensure performance.
- Manage hybrid cloud and multi-cloud environments including AWS, Azure and Google Cloud and data center.
- Engage real-time, AI-powered automation to help ensure application performance while minimizing cost.
Details
Sold by
Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Turbonomic | price for 200 managed virtual servers | $50,760.00 |
Dimensions summary
IBM Turbonomic On-Prem uses a single contract dimension priced per unit. Each unit covers 200 managed virtual servers. Pricing scales with the number of units you buy. To manage more virtual servers, you add more units in blocks of 200. This is a flat per-unit structure rather than tiered plans. Turbonomic manages resources across your environment to support performance and control IT costs. There are no separate add-ons or usage-based charges in this listing.
Top-of-mind questions for buyers
A managed virtual server is any virtual machine that Turbonomic actively monitors and manages for resource allocation. Each unit covers 200 of these servers. Turbonomic manages resources across your environment to support performance and control IT costs. Physical hosts and other resource types are not counted as virtual servers here.
You add more units. Each unit covers a block of 200 managed virtual servers. To manage 400 servers, you buy two units. Pricing scales in fixed blocks of 200 rather than per individual server. There is no partial-unit billing in this listing.
No. This listing uses a single contract dimension priced per unit. There are no usage-based charges or separate add-ons in this listing. Your cost depends only on the number of units you buy, each covering 200 managed virtual servers.
www.ibm.com
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Vendor refund policy
All orders are non-cancellable and all fees and other amounts that you pay are non-refundable. If you have purchased a multi-year subscription, you agree to pay the annual fees due for each year of the multi-year subscription term.
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Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Support is available through the IBM Support Portal:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Jai P.
Efficient Automation, But Setup Can Be Challenging
Reviewed on Feb 23, 2026
Review provided by G2
What do you like best about the product?
I like IBM Turbonomic for its intelligent automation that automatically rightsizes resources to maintain performance while reducing cloud costs. It continuously analyzes application demand and adjusts CPU, memory, and cloud instance sizes in real time. This helps prevent performance bottlenecks, eliminates over-resourcing, and maintains SLAs.
What do you dislike about the product?
It can be complex to set up, has a learning curve, and licensing can be expensive for larger environments. Setup has been complex due to integration with multiple cloud platforms, hypervisors, and permission configurations. Initial setup is quite challenging because it required configuring integrations, permissions, and policies across environments which took some time to get right.
What problems is the product solving and how is that benefiting you?
IBM Turbonomic automatically optimizes application performance and infrastructure costs, solving issues like over-provisioning and cloud cost waste by rightsizing resources across environments.
Tushar P.
Reliable Infrastructure Optimization for Modern DevOps Teams
Reviewed on Feb 23, 2026
Review provided by G2
What do you like best about the product?
I like that Turbonomic goes beyond basic monitoring by providing automated resource optimization. It helps ensure applications get the right amount of CPU and memory, while also avoiding over-provisioning. Its Kubernetes and cloud integrations make it especially useful in modern DevOps environments.
What do you dislike about the product?
The learning curve can feel steep at first, and making sense of all the optimization actions takes some familiarity with infrastructure and Kubernetes. For beginners, the interface and underlying concepts may come across as complex and a bit overwhelming initially.
What problems is the product solving and how is that benefiting you?
IBM Turbonomic helps address over-provisioned and under-utilized infrastructure by continuously analyzing application demand and automatically optimizing how resources are allocated. Rather than manually tweaking CPU, memory, or scaling policies, the platform recommends or can execute actions that keep performance steady while cutting unnecessary cloud and infrastructure costs. For me, this means less time spent on manual tuning and more confidence that my applications are running efficiently without overspending.
Arjun G.
AI-Driven Efficiency, But Steep Learning Curve
Reviewed on Feb 22, 2026
Review provided by G2
What do you like best about the product?
I really appreciate how IBM Turbonomic reduces the bill for our clients without them needing to get involved in all the technical details. It's pretty neat how this tool has helped us build trust with our clients, enabling them to scale their companies with more tools from us. In a sort of indirect way, this has boosted growth for both our business and our clients' businesses.
What do you dislike about the product?
So I think the biggest hurdle with it is its steep learning curve and initial configuration complexity which can delay the time-to-value for clients when they always expect instant results. While the core of the platform, which is AI, is really awesome, but the reporting and dashboarding thing is really rigid, making it difficult for me to present some high-level business-centric KPIs that I have to mostly present and is asked for. So I need a lot of manual data work to do while implementing and generating KPIs. Similarly, the licensing cost is really high and tough for those small-scale Salesforce implementations that makes me unable to pitch this tool for them.
What problems is the product solving and how is that benefiting you?
IBM Turbonomic's AI-driven autopilot optimizes resource allocation in real-time, balancing performance and cost-efficiency. It eliminates over-provisioning guesswork, reduces client cloud bills, and maintains high application speed, fostering client trust and business growth while ending 'war room' culture.
sudhanshu r.
AI-Driven Automation That Optimizes Hybrid Cloud Resources with IBM Turbomic
Reviewed on Feb 22, 2026
Review provided by G2
What do you like best about the product?
The AI-driven automation that continuously optimizes resource allocation across our hybrid cloud environment. We used to multiple iterations of performance testing to find the optimised value of CPU, Memory threesholds for our HPA which can be avoided now by leveraging IBM Turbomic in production.
What do you dislike about the product?
Steep learning curve and requires significant configuration time to get started. The interface could be more intuitive for new users. For Eg - Datadogs or ArgoCD dashboards are more intutive.
What problems is the product solving and how is that benefiting you?
For every application or service that we want to deploy, we use HPA for the scaling part in production. We have to do multiple iterations of performance testing to find the threeshold values of CPU and memory utilisation and min, max replica to provide to devops which they can configure in the HPA for the application to scale in production. This is a very resource and cost intensive process as we have to simulate the production traffic scenario multiple times this is replaced by IBM Turbonomic as it directly predicts these values based on previous utilization metrics of other applications and only 1-2 iterations are sufficient to come to the optimum configuarion.
Abhishek P.
Optimizes Resources with Actionable Insights
Reviewed on Feb 21, 2026
Review provided by G2
What do you like best about the product?
I like IBM Turbonomic for its clear actionable recommendations, not just metrics. I also appreciate how accurate the recommendations are and how confidently we can automate the actions. It helps us with application resource optimization and cost control, right-sizing VMs and containers to prevent performance issues before users notice them and reducing costs by identifying over-provisioned resources. We also use it for capacity planning and automatic resource scaling.
What do you dislike about the product?
The UI feels complex at first and the initial setup time takes more time.
What problems is the product solving and how is that benefiting you?
I use IBM Turbonomic for application resource optimization and cost control. It helps prevent CPU and memory contention, right-size VMs and containers, and reduce unnecessary costs by identifying over-provisioned resources.