AI factories: bring your vision to life with PaletteAI
Turn your AI investments into production outcomes — faster, at scale, with the governance your platform team needs.
The production gap is costing you
The hardware is in. The data science team is delivering results. And yet the AI is still not in production. Something in the middle is broken, and for most enterprises, that something is infrastructure.
What's getting in the way
Most enterprise AI infrastructure is held together with good intentions and manual effort. Every new project means a new environment, built differently, managed differently, understood by fewer people over time. Platform teams lose visibility. GPU spend grows without accountability. AI practitioners waste days on environment setup instead of model work. And when you try to scale, the wheels come off.
Locking into a hyperscaler's opinionated AI platform solves some of this, but at a cost. You get consistency, and you give up the flexibility to work with the models, tools, and infrastructure that actually fit your needs — right when the AI landscape is moving fastest.
PaletteAI: the fast path to your AI factory
PaletteAI is the first enterprise management platform built specifically to bring AI factories to life — replacing the duct-tape approach with a single, unified platform for designing, deploying, and managing AI workloads at scale.
It serves both sides of your organization. Platform teams get standardized, governance-approved full-stack blueprints with security and compliance built in. AI practitioners get self-service access to approved environments they can spin up in minutes, not weeks. All the productivity, none of the friction.
Design
Build repeatable, governance-approved AI stacks with every component you need, from storage and OS through ML frameworks and model runtimes.
Deploy
Empower data scientists to stand up new environments with a click and get straight to work. One blueprint, deployed anywhere — cloud, data center, or edge.
Manage
Optimize GPU utilization, enforce policy, and handle day 2 operations — upgrades, patching, compliance — with automation and ease across every environment in your estate.
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Built for NVIDIA AI factories
PaletteAI is validated to deploy, configure, and manage hardware in accordance with NVIDIA's Enterprise AI Factory validated designs. Your AI factory follows a proven blueprint — tested, certified, and production-ready.
Coverage includes the full NVIDIA stack: Blackwell GPUs, BlueField 3 DPUs, Spectrum-X networking, NIM microservices, NeMo, AIDP, and everything in between. You get the performance of NVIDIA's AI infrastructure with the operational consistency of a managed platform.
PaletteAI also supports edge inference deployments — one of the fastest-growing and most challenging categories of enterprise AI. Same platform, same blueprints, wherever your AI needs to run.
Who is building AI factories with PaletteAI?
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Large enterprises and government agencies standardizing AI delivery across business units, moving from disconnected pilots to a repeatable production capability
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Cloud and managed service providers building GPU as a Service and Model as a Service offerings for their customers
Organizations with NVIDIA-powered infrastructure investments that need the operational layer to realize the ROI on that hardware
Your trusted partner
PaletteAI is brought to you by Spectro Cloud, the team behind Palette — the leading Kubernetes management platform, rated a leader in the GigaOm Kubernetes Radar for edge to cloud. Today's AI factories run on Kubernetes, and that's where Spectro Cloud has spent the last several years becoming very good indeed.
NVIDIA Preferred Partner and AI Factory Validated Design partner
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SOC 2 Type II certified — ISO 27001 certified — FIPS 140-3 validated
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Certified Kubernetes Provider and Certified Kubernetes AI Platform
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Member of the CNCF, Agentic AI Foundation, OpenSSF and LF Edge
Ready to build your AI factory?
Stop pushing AI ROI into the next quarter. Book a meeting and let's figure out what it would take to get your factory into production.
Common questions
An AI factory treats AI delivery as a repeatable operational discipline. You have defined blueprints, consistent deployment processes, lifecycle management, and visibility across every environment. Individual projects tend to be bespoke — each one built and maintained differently, accumulating technical debt and key-person risk over time. An AI factory lets you replicate success at scale without starting from scratch every time.
Yes. Your platform team defines the guardrails — security policies, approved tools, resource limits — and builds them into blueprints. Within those guardrails, practitioners choose the frameworks and models they need. Different teams can work from different blueprints optimized for their specific workloads, all managed through the same platform.
No. PaletteAI integrates with your existing infrastructure and workflows. Many organizations use PaletteAI to standardize new deployments while existing environments continue running, then migrate incrementally as it makes sense.
Your platform team manages a shared pool of GPU resources that practitioners access on demand, rather than siloed per-team allocations. PaletteAI handles provisioning, scheduling, and monitoring, with guardrails to prevent overconsumption. Utilization goes up, infrastructure management overhead goes down, and practitioners get a much simpler experience.
NVIDIA estimates six-plus months for a typical AI factory deployment. Blueprint-driven automation in PaletteAI compresses that considerably, and many organizations have their first standardized environments running in weeks.
Yes. PaletteAI is validated against NVIDIA's Enterprise AI Factory validated designs and integrates with the full NVIDIA hardware and software stack. As an NVIDIA Preferred Partner, our integrations are kept current and production-ready.