NexaCore

Most systems don’t fail at launch, They fail 30 - 90 days later Everything works at low load Then usage becomes unpredictable Latency creeps Costs compound Edge cases stack The system isn’t broken, It’s assuming growth is linear. Real systems are spiky. Most realise late.

Curious how people are dealing with this right now. Are you locking capacity early or still using on demand?

Everyone talks about GPUs like they’re just “available”. In reality The moment you actually need consistent capacity, everything changes. Queues. Delays. Unpredictable performance. AI doesn’t break at the idea stage, It breaks when demand becomes real.

If you’re running AI workloads in production right now, what’s been the hardest part?

Most AI teams don’t fail because of the model. They fail when things actually need to run. GPUs become inconsistent. Latency creeps in. Costs start behaving unpredictably. Building is easy. Running it reliably is where things break.