Why GPU Auto-Tuning Will Be the Foundation of AGI-Scale Workloads
As AI systems approach AGI-level complexity, static compute layers will fail.
Future workloads need:
dynamic routing
self-optimizing kernels
real-time memory adaptation
predictive workload balancing
multi-model concurrency
This is GPU Auto-Tuning —
and Agnitra is the first platform to operationalize it.
Every workload becomes self-optimizing.
Every GPU becomes self-healing.
Every cluster becomes self-orchestrating.
This is the infrastructure AGI will require.