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Verda is a technology company building the next generation of cloud infrastructure for AI. We operate GPU clusters across Europe, the US, and Asia, and we run some of the most demanding AI/ML workloads in production today — from frontier-model training to latency-sensitive inference at scale. We're a low-hierarchy team that ships pragmatically and gives engineers real ownership of the systems they build.
Running ML/AI workloads in containers and serverless environments looks simple on a slide and is anything but in production. Between the object store and the GPU sit a dozen layers — image pulls, network filesystems, page cache, model loaders, runtime initialization — and each one quietly contributes to how long a workload takes to become useful and how fast it runs once it is.