Been building Jungle Grid.
You describe the workload it runs. No picking 4090 vs A100. No region debates. No infra overhead. Launching April 28 (12:01 AM PDT): https://www.producthunt.com/products/jungle-grid Curious what’s been breaking for you when running AI workloads.
Hey everyone I’m Benedict, a backend/system-focused engineer.
I’ve been working in the AI + infrastructure space, building distributed systems and execution layers. For the past few months, I’ve been building Jungle Grid focused on removing the need to manually pick GPUs and deal with infra when running AI workloads. We’re launching on April 28th (12:01 AM PDT): https://www.producthunt.com/products/jungle-grid Would love to connect with others working on...
Why are we still picking GPUs manually in 2026?
Most AI workflows still require choosing GPUs, regions, and providers upfront. In practice, that leads to: overpaying for capacity jobs failing due to mismatch (OOM, CUDA issues) time wasted debugging infra instead of running workloads At what point does this abstraction break? Should execution be intent-based instead where you describe the workload and the system handles placement? Curious how...