Infrastructure ROI
Stop paying for idle compute. We build preemtible GPU clusters and auto-scaling logic that actually works, slashing cloud spend without breaking training runs.
Stop burning GPU cycles and cloud storage costs on bad architecture.
We design high-performance AI/HPC platforms that actually ship. Cloud-native storage, low-latency networking, and MLOps pipelines engineered for ROI, not just throughput.
Solutions
Storage Performance
Feed the GPUs, starve the latency. We design parallel file systems (WEKA/DDN) tailored for max utilization, removing the bottlenecks that slow down epochs.
MLOps Production
From notebook to reliable production. Reproducible training runs, artifact lineage, and systems that don't need a babysitter at 3 AM.
Field Reports
Throughput vs. client count
Why 800 Mb/s per client can waste backbone capacity—and how to right-size CPU, queues, and NICs.
Read the note →Checkpointing on preemptibles
Resilient training on spot GPUs with snapshot-aware pipelines and SLA-aware rebuild logic.
Read the note →Engineering Log
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Principal Architect
Built by the people who wrote the playbook.
Invecture Labs is led by a former Principal Architect at Google and DDN. We don't send juniors to do a senior's job. When you hire us, you get deep expertise in high-scale infrastructure.
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