Akamas AI-powered Performance Optimization Platform
By Akamas
Akamas is an AI-powered performance optimization platform designed for enterprises seeking to maximize cost efficiency and application performance across cloud and Kubernetes environments.
Publisher review
Akamas is an AI-powered performance optimization platform designed for enterprises seeking to maximize cost efficiency and application performance across cloud and Kubernetes environments. It targets industries such as banking, telecom, and retail, where optimizing resource allocation and reducing operational costs are critical. The platform is particularly valuable for organizations managing complex, multi-layered infrastructures that include Kubernetes clusters, GPU workloads, and cloud instances.
Akamas integrates seamlessly with production and pre-production environments, offering real-time recommendations for tuning configurations to balance objectives like cost, latency, throughput, and reliability. Its ability to optimize AI serving infrastructure and inference runtime parameters makes it a go-to solution for businesses leveraging AI and machine learning workloads. Akamas is a member of the AWS Partner Network, enhancing its capabilities with AWS cloud offerings, and has received endorsements from companies like Dynatrace, Facebook, and Netflix.
The platform has delivered millions in cost savings for its clients and tripled its annual recurring revenue between 2023 and 2024, signing its first seven-figure deals during this period. Akamas’ focus on full-stack optimization, including Kubernetes, GPU, and infrastructure, positions it as a comprehensive solution for modern enterprises. Its patented AI engine provides instant analysis and actionable recommendations, enabling teams to make informed decisions quickly.
The platform’s GitOps integration ensures that optimization changes are seamlessly integrated into existing workflows, reducing the risk of errors and improving deployment efficiency. Akamas’ ability to balance multiple objectives, such as cost reduction and performance improvement, sets it apart from competitors like Selenium WebDriver and Microsoft Visual Studio. However, its focus on enterprise-level optimization may make it less accessible for smaller organizations or those with simpler infrastructure needs.
Additionally, while Akamas excels in Kubernetes and GPU optimization, its capabilities may not extend as deeply into other areas like database tuning or network optimization. The platform’s reliance on AI-driven recommendations may also require a learning curve for teams unfamiliar with autonomous optimization tools. Despite these trade-offs, Akamas’ proven track record in delivering cost savings and performance improvements makes it a strong contender in the performance optimization space.
How it works
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AI-powered optimization
Uses AI to autonomously optimize full-stack configurations, including Kubernetes, GPU, and infrastructure.
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Real-time recommendations
Provides instant analysis and actionable recommendations for live environments, reducing downtime.
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Multi-objective balancing
Balances cost, latency, throughput, and reliability to optimize performance and efficiency.
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GPU cost reduction
Reduces GPU costs by optimizing resource allocation and improving GPU efficiency.
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Kubernetes optimization
Tunes Kubernetes configurations, including pods, autoscaling, and resource requests/limits.
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AI serving infrastructure tuning
Optimizes AI serving infrastructure and inference runtime parameters for better performance.
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GitOps integration
Seamlessly integrates optimization changes into existing GitOps workflows for safer deployments.
Strengths and trade-offs
Strengths
- Akamas has delivered millions in cost savings for enterprises in banking, telecom, and retail.
- The platform tripled its annual recurring revenue between 2023 and 2024, signing seven-figure deals.
- Akamas integrates with AWS cloud offerings as a member of the AWS Partner Network.
- It provides real-time recommendations for optimizing Kubernetes, GPU, and infrastructure configurations.
Trade-offs
- Akamas’ focus on enterprise-level optimization may make it less accessible for smaller organizations.
- The platform’s capabilities may not extend as deeply into database tuning or network optimization.
- Its reliance on AI-driven recommendations may require a learning curve for teams unfamiliar with autonomous tools.
- Akamas’ pricing structure is not explicitly mentioned, which may create uncertainty for potential buyers.
Pricing context
Not explicitly mentioned in the sources
Getting started with Akamas AI-powered Performance Optimization Platform
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Sign up
Create an account on the Akamas platform by providing your email and organization details. Verify your email to activate the account.
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Connect data
Integrate Akamas with your Kubernetes clusters, cloud instances, or GPU workloads by providing necessary credentials and permissions.
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Configure objectives
Define optimization goals such as cost reduction, latency improvement, throughput enhancement, or reliability balancing in the Akamas dashboard.
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Run optimization
Initiate the AI-powered optimization process to receive real-time recommendations for tuning configurations across your infrastructure.
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Deploy changes
Apply the recommended configurations through GitOps integration to ensure seamless deployment into your production or pre-production environments.
Frequently Asked Questions
What is Akamas AI-powered Performance Optimization Platform?
Akamas is an AI-powered platform designed to optimize performance and cost efficiency for enterprises, particularly in cloud and Kubernetes environments. It targets industries like banking, telecom, and retail, offering real-time recommendations for tuning configurations to balance cost, latency, throughput, and reliability.
How does Akamas optimize Kubernetes configurations?
Akamas tunes Kubernetes configurations, including pods, autoscaling, and resource requests/limits. Its AI engine provides real-time recommendations for optimizing these settings, ensuring efficient resource allocation and improved performance across Kubernetes clusters in production and pre-production environments.
Can Akamas reduce GPU costs for enterprises?
Yes, Akamas reduces GPU costs by optimizing resource allocation and improving GPU efficiency. It specializes in tuning AI serving infrastructure and inference runtime parameters, making it ideal for businesses leveraging AI and machine learning workloads.
What industries benefit most from Akamas?
Akamas is particularly valuable for industries like banking, telecom, and retail, where optimizing resource allocation and reducing operational costs are critical. Its focus on enterprise-level optimization makes it well-suited for organizations managing complex, multi-layered infrastructures.
Does Akamas integrate with AWS and GitOps?
Yes, Akamas integrates seamlessly with AWS cloud offerings as part of the AWS Partner Network. It also supports GitOps integration, ensuring optimization changes are safely incorporated into existing workflows, reducing deployment risks and improving efficiency.
What are the limitations of Akamas?
Akamas focuses on enterprise-level optimization, making it less accessible for smaller organizations. Its capabilities may not extend deeply into database or network tuning, and its reliance on AI-driven recommendations may require a learning curve for teams unfamiliar with autonomous tools.
Alternatives
How Akamas AI-powered Performance Optimization Platform compares
Direct head-to-head against 2 competitors. Picked by 7wData.
Akamas AI-powered Performance Optimization Platform
- Pricing
- Not explicitly mentioned in the sources
- Target
- Akamas is an AI-powered performance optimization platform designed for enterprises seeking to maximize cost efficiency and application performance across cloud and Kubernetes environments.
- Strength
- Akamas has delivered millions in cost savings for enterprises in banking, telecom, and retail.
- Watch for
- Akamas’ focus on enterprise-level optimization may make it less accessible for smaller organizations.
StormForge
- Pricing
- Custom/Contact sales
- Target
- Kubernetes optimization
- Deployment
- Cloud, On-prem
- Strength
- Focus on Kubernetes cost and performance
- Watch for
- Complex setup, steep learning curve
Crashlytics
- Pricing
- Free tier, Custom/Contact sales
- Target
- App performance monitoring
- Deployment
- Cloud
- Strength
- Real-time crash reporting
- Watch for
- Acquired by Google, limited optimization features
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Sources
Reporting on this tool draws on these publicly available sources.