
Why Developers Are Choosing NexaAPI Over Together AI GPU Clusters
Why Developers Are Choosing NexaAPI Over Together AI GPU Clusters Together AI's new Instant Clusters are powerful. Self-service NVIDIA Hopper and Blackwell GPUs, provisioned in minutes, with K8s or Slurm orchestration. It's a real product solving a real problem for enterprise AI teams. But scroll through any developer forum and you'll see a pattern: most developers don't want to manage GPU clusters. They want to build products . Here's why developers are choosing the simpler path. The 90/10 Rule of AI Infrastructure About 10% of AI developers need custom GPU clusters: Training large foundation models Custom inference at massive scale Specialized hardware requirements Enterprise compliance needs The other 90% need something different: Generate images for their app Add LLM capabilities to their product Prototype quickly without DevOps Scale without managing infrastructure For that 90%, a managed API is the right answer. What "Simpler" Actually Means When developers say they want somethin
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