Patrick Kennedy walked into F5's Kubernetes lab in California looking at a familiar problem.
GPU servers are scarce.
Every wasted cycle is expensive.
The cluster has to serve user traffic, route LLM requests, handle token governance, and keep security in place.
Small AI teams feel that pressure first.
A delayed test can become a delayed feature.
A bigger GPU order can become another budget meeting.
Then came the useful number.
F5 said its BIG-IP Next setup delivered more than 3x performance from the same GPU cluster.
That changes the next move.
A team can test another model, handle more users, or ship an update without chasing a larger GPU order first.
That is what affordable AI compute creates.
More attempts.
Faster feedback.
A real path from an idea to a running product.
BHK Cloud puts RTX 3090 compute at $0.15/hr, the best price on the market.
Buy Now Pay Later means zero upfront, then pay after one month.
Where would extra usable GPU capacity change your build first, model testing, user traffic, or launch timing?
https://ai.bhkcloud.com/?utm_source=linkedin&utm_medium=social&utm_campaign=bhk_social_2026w40&utm_content=morning
Originally posted on linkedin_personal