… Infrastructure providers vs. model owners/tenants: Infrastructure providers those running the hardware and Kubernetes cluster can’t trust that a model owner or tenant’s workload is benign. …
… New component releases, driver updates, and kernel parameter changes all flow into published recipes as they are tested. …
… The system doesn’t just monitor infrastructure. …
… We plan to continue investing in making it simple to run large-scale AI training infrastructure. …
… As demand grows, these factories must scale faster, operate more efficiently, and lower the cost of intelligence across the five-layer stack : energy, chips, infrastructure, models, and applications. …
… The orchestrator, ingestion, extraction, and subcards stages each run as separate containers, with infrastructure database and task queue included. There’s no proprietary cloud lock-in: MCG runs on-premises or in your own cloud, with Kubernetes support to help you spin up on your own infrastructure. …
… Note that APIs and configurations may change between releases. …
… Updated on March 16, 2026, with new AI infrastructure. …
… Infrastructure acceleration at AI factory scale In traditional systems, infrastructure services run on host CPUs, introducing variability, contention, and security risk as workloads scale. …
… Her teams deliver Fleet Intelligence, capacity management tools, and infrastructure and cloud services enabling GPU hardware attestation. …