Case studies How teams put verified
How teams put verified
optimization to work.
Illustrative engagements showing the shape of a Kernalin workflow — problem, baseline, optimization, verification, result. Demo data until real case studies are published.
Demo
These case studies use illustrative data to demonstrate the workflow. They are not real customers or real performance numbers.
AI Inference
Cutting decode latency on a production LLM serving stack
An illustrative walkthrough of how a serving team could use Kernalin to find, optimize, and verify a memory-bound decode kernel.
−32.7%
decode kernel latency
1.49×
verified speedup
0
correctness regressions
Infrastructure
Stopping silent kernel regressions in CI
How a platform team could wire Kernalin's regression gate into pull requests so slowdowns never reach production unnoticed.
every PR
gated automatically
4 tiers
BLOCK / WARN / INFO / PASS
per-GPU
noise-floor calibration
Cost Optimization
Turning memory waste into reclaimed GPU capacity
An illustrative look at how memory-bottleneck analysis maps directly to lower GPU spend.
2.79 GB
VRAM reclaimed per node
~24%
illustrative spend reduction
7
memory dimensions analyzed
Early access is open
Optimize with AI. Prove it with Kernalin.
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