ABOUT ALLOC LABS
Alloc Labs builds training pipeline intelligence tools that give ML teams a holistic view of their training pipeline. Find bottlenecks across data loading, GPU utilization, communication overhead, and parallelism strategy — then get actionable answers, not just charts.
FROM ALLOCGUY
Modern training pipelines are complex systems. Your DataLoader is starving the GPU. NCCL comms are blocking 40% of step time. You're running FSDP when DDP would be faster for your model size. The batch size doesn't divide evenly across your topology. And you have no idea any of this is happening because the only tool you have is a profiler that gives you flame graphs and kernel traces.
Profilers are microscopes. They show you what happened inside a single run at kernel-level granularity. But nobody needs a 200-column trace to know their DataLoader is the bottleneck. What ML teams actually need is a holistic view of the entire training pipeline: where time is spent, why it's spent there, and what to change. That tooling didn't exist.
I started Alloc Labs to build the intelligence layer that sits above profilers. Alloc doesn't just collect metrics — it connects them. It sees that your GPU utilization is low because your DataLoader can't keep up, that your comm overhead is high because you picked the wrong parallelism strategy for your model size, that you're paying for H100s when A100s would finish the job at half the cost. One command, zero code changes, and you get answers instead of data.
The CLI is free. The goal is simple: give every ML team a pre-flight check that catches expensive mistakes before they happen.
– allocguy
Estimate VRAM and check GPU feasibility from the model graph alone. No GPUs burned. Runs locally in seconds.
Wrap your training command to capture real GPU metrics, detect bottlenecks, and get actionable optimization suggestions.
Budget guardrails, cost audit trails, and org-level spend policies. Catch runaway jobs before the invoice does.
The Alloc CLI is free forever. Install it with pip, run it on any cluster. No vendor lock-in, no telemetry by default.
Questions, feedback, or partnership inquiries? Reach us at support@alloclabs.com