feniria
Try Feniria

Stop burning AI infrastructure budget

GPU Optimization for AI Workloads · Reclaim your wasted capacity with Feniria

Try Feniria

Backed by Impact Shakers.

Powering innovation at Zylon and Multiverse Computing.

Now live on cloud and on-prem

Feniria shows where AI workloads lose capacity, then helps recover it

From hidden waste to usable throughput.

Surface-level metrics show averages. Feniria exposes exactly where GPU cycles go dark and optimizes workloads in real time — no code changes, no model rewrites.

  • See exactly where auto-scaling waste and overprovisioning inflate your bills.
  • Trace idle cycles, bottlenecks, and energy leaks at kernel level.
  • Size infrastructure confidently and plan capacity with precision.
  • Extract more training runs and inference tokens from every GPU you already pay for.

Product suite

  1. 01
    Observe

    Magnify

    Deep GPU observability for AI workloads.

  2. 02
    Optimize

    Osfire

    Automated workload optimization with no code changes.

Measurable impact

+30%

GPU throughput

Measured lift in ML training workloads.
-70%

GPU idle time

Fewer idle cycles during ML workloads, measured at the kernel level.
Lower waste

Energy footprint

Fewer idle cycles, lower wasted compute and carbon impact.

Join our early customers

We are opening a limited number of slots for teams ready to ship more with the GPUs they already have. Join Zylon and Multiverse Computing as early Feniria customers.

Try Feniria