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AI infrastructure engineering
GPU clusters, model serving, vector DBs and MLOps
Design and run the infrastructure behind AI products: GPU/compute provisioning, high-performance model serving, vector databases, data and MLOps pipelines, and private/self-hosted LLMs with scaling and observability.
What you get
- GPU / compute provisioning
- Model serving (vLLM, Triton)
- Vector databases
- Data & MLOps pipelines
- Private / self-hosted LLMs
- Scaling & observability
Other services