Kernel
optimization
Custom kernels, memory optimization and runtime tuning for your model and accelerator.
AI model
optimization.
We optimize models and kernels for your hardware to reduce inference time and compute costs.
Services
Kernel
Workload
profiling
Benchmark your inputs and traffic to identify bottlenecks without losing sight of output quality.
Deployment
& maintenance
Validated releases, rollback support, regression monitoring and ongoing cost analysis.
How it works
- 01
Profile
Measure latency, throughput, memory use and output quality on your target hardware.
- 02
Optimize
Tune kernels, memory movement and runtime settings. Validate each change against the baseline.
- 03
Deploy & maintain
Release the optimized model, monitor regressions and track operating costs as your workload changes.
Cost calculator
Estimate savings after implementation and maintenance costs.
YOUR ASSUMPTIONS
An editable scenario, not a quote or performance forecast. All values are in EUR. Your inputs stay in this browser.
MONTHLY NET SAVINGS
€6,000
After the recurring optimization fee.
Current operating cost€25,000
Modeled operating cost€19,000
- Payback period
- 8.3 months
- 12-month net benefit
- €22,000
- Current modeled margin
- 37.5%
- Optimized modeled margin
- 52.5%
Assumes constant revenue and 12 full months of savings after rollout. Includes the one-time cost in net benefit. Excludes taxes, financing and rollout time. Margin uses only the costs you enter.
Discuss your
workload
Tell us your model, target hardware and what you need to improve.
FAQs
What improvement can we expect?
Results depend on your model, hardware and starting point. We agree on quality and performance criteria, then benchmark the changes against your baseline.
What happens after deployment?
We offer maintenance, regression monitoring, runtime updates and cost analysis. Scope and frequency are agreed for your deployment.