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@@ -30,30 +30,29 @@ You might wonder: "Aren't there plenty of software solutions that promise easier
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Yes. However, almost all existing GPU scheduling tools impose a critical bottleneck: slow iteration cycles. The feedback cycle increases from seconds to minutes, plus several hours to set up any new workload. Developers need to build containers that recreate their dev environment for every GPU workload, even for a simple test. This might be acceptable for deploying applications in production environments, but are productivity killers during the iterative research phase of model training.
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