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AI & GPU workload optimization
Tune the whole stack together, engine, GPU, and infrastructure, not one layer at a time.
✓ Lower cost per token
✓ Latency that holds under burst
✓ Every change reviewed before it ships
Performance, Reliability, and Costs are one challenge
Continuously optimize performance, reliability, and cost across your Kubernetes full stack from infrastructure to runtimes. Safely, Explainably. At scale.
-60%
+30%
zero
5x
THE AKAMAS PLATFORM
Patented reinforcement learning that optimizes your entire stack – not just infrastructure.
THE PROBLEM
Observability, CI/CD, and infrastructure automation have evolved rapidly. Optimization is still manual, reactive, and fragmented across teams. Configuration decisions are made under pressure – tracking reliability for cost, or performance for stability.
This isn’t a tooling problem. It’s a missing platform capability.
THE SHIFT
Akamas turns optimization into a continuous, autonomous capability embedded into modern platforms. By analyzing real workload behavior across the full stack, Akamas identifies inefficiencies, reliability risks, and cost waste – then guides teams toward safe changes, or applies them autonomously.
Autonomy without loss of control.
Akamas helps us size our pods correctly and address configuration issues that often emerge with new services. It also fills a cross-team skills gap between developers and our Kubernetes administrators, delivering significant reliability improvements, and the cost savings donʼt hurt either.
Akamas helped us to rapidly mature on the performance tuning front, by allowing us to find an optimal configuration for our application. This resulted in significant cost savings as well as removing barriers to replatforming.
Thanks to Akamas, TeamSystem has improved the efficiency of our critical microservices as we would never be able to do manually. The ability to consistently deliver the highest level of quality to our end-users at the lowest possible cost is an important differentiator for us.
Within just a few hours, Akamas uncovered performance issues we had overlooked for months. This wasn’t just an improvement – it was a revelation. Akamas delivered insights we didn’t even know we needed and solved problems faster than any manual approach could.
Akamas’ ease of integration with our CI/CD pipelines enabled us to automate the configuration deployment to quickly find optimized configurations that had not been previously found with our manual approach.
Gartner Peer Insights
Customer in Online Services
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Experience the benefits of Akamas autonomous optimization.
No overselling, no strings attached, no commitments.