Together AI GPU Clusters vs NexaAPI: Why Pay-Per-Call Wins for Most Developers

Together AI GPU Clusters vs NexaAPI: Why Pay-Per-Call Wins for Most Developers Together AI just launched Instant Clusters — self-service NVIDIA GPU clusters (Hopper and Blackwell) that can be provisioned in minutes, from single-node (8 GPUs) to large multi-node setups with hundreds of interconnected GPUs. This is genuinely impressive infrastructure. Companies like Latent Health are using it for large-scale reinforcement learning on clinical data. Enterprise AI teams will love it. But here's the question most developers should ask: Do I actually need to manage a GPU cluster? What Together AI Instant Clusters Offer To be fair, the announcement is compelling: Self-service provisioning — no tickets, no contracts, no manual approvals Minutes to deploy — from request to running cluster NVIDIA Hopper + Blackwell — latest GPU architectures K8s or Slurm orchestration — enterprise-grade scheduling Multi-node scaling — hundreds of interconnected GPUs This is the right product for companies doing