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Whether you're exploring self-hosted LLMs, planning a GPU cluster migration, or building intelligent security systems — we'd love to hear about your project.
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Primarily NVIDIA L4 and H100 on GKE, but we also deploy on A100, T4, and AMD MI300X depending on workload requirements and cloud availability.
Yes. While GKE is our primary platform, we also deploy on AWS (EKS), Azure (AKS), and Red Hat OpenShift AI. Our Terraform modules are cloud-agnostic where possible.
Any model supported by vLLM: Llama 3.x, Mistral, Mixtral, Qwen, Phi, DeepSeek, and more. We handle quantization, caching, and optimization for your specific use case.
A standard vLLM + RAG deployment on GKE typically takes 2-4 weeks from kickoff to production. Complex multi-model systems or large migrations may take longer.
From proof-of-concept to production GPU clusters. Let's build your AI infrastructure together.
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