Orbis Infrastructure
Dedicated GPU Infrastructure. Without Hyperscale Friction.
What it does
Orbis Infrastructure delivers dedicated GPU infrastructure for AI teams that need performance without hyperscale complexity. We specialize in 1–5 rack deployments, predictable pricing, and contract-backed expansion inside high-density colocation environments. Our model is focused, capital-efficient, and relationship-driven — giving builders direct access to their hardware, transparent costs, and infrastructure that scales with real demand.
Does a similar job
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Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…
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We developed a tool to trick your computer into thinking it’s attached to a GPU which actually sits across a network. This allows you to switch the number or type of GPUs you’re using with a single command.
Ocean Orchestrator Mar 2026 · oncompute.ai · ▲139Run AI jobs from your IDE with a one-click workflow
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