Running large AI models in the cloud gives access to immense
capabilities, but it doesn’t come for free.The bigger the models,
the bigger the bills, and with them, the risk of unexpected costs.
Local models flip the equation.They safeguard privacy and keep
costs predictable, but their smaller size often limits what you can
achieve. For many GenAI applications, like analyzing long
documents or running workflows that need a large context,
developers face a tradeoff between quality and cost.But there might
be a smarter
Running large AI models in the cloud gives access to immense
capabilities, but it doesn’t come for free.The bigger the models,
the bigger the bills, and with them, the risk of unexpected costs.
Local models flip the equation.They safeguard privacy and keep
costs predictable, but their smaller size often limits what you can
achieve. For many GenAI applications, like analyzing long
documents or running workflows that need a large context,
developers face a tradeoff between quality and cost.But there might
be a smarter