Smart model routing is the key to AI governance (not just token savings)
Routing inference requests to different LLMs via a smart SLM gateway can cut token costs but also enable granular control for governance reasons.
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Routing inference requests to different LLMs via a smart SLM gateway can cut token costs but also enable granular control for governance reasons.
Palette now pulls hardened images from private registries to protect all the software in your stack. It's the latest in a line of software supply chain security measures we've introduced.
The token economy is real and the revenue case is hard to argue with. The operators who win it will be the ones who treat metering as a control problem first and a billing problem second.
The Modular Open Systems Approach has been law since 2019. A wave of 2025–26 memos, and a battlefield that now reinvents itself every few months, have made it urgent.
Launchpad for VMs is GA: a self-sufficient appliance for VMs and containers on Kubernetes, shipped as a bootable ISO with SSO, RBAC, FIPS and air-gap support built in.
NVIDIA's AI-Q blueprint looks simple in the demo and gets harder at scale. See how Palette and PaletteAI handle the production scaffolding the docs skip.
NVIDIA DSX is the playbook for building AI factories. Here's what it is, and how PaletteAI turns the blueprint into a running platform.
ClearML, vLLM, Run:ai, whatever ships next month: PaletteAI's bundle model turns "not yet" into a pull request. Here's how it works, plus the Skill behind it.
Meta, CoreWeave and Google all run AI on Kubernetes on bare metal. The performance, cost and sovereignty case, plus an honest look at where it falls short.