The homepage now says "Run your AI cloud like a hyperscaler" and leads with vMetal, Slurm and inference, and the new Demand Generation Manager is hired to turn platform leaders at AI Cloud providers into pipeline. But the pricing page, where those accounts go to judge fit, is titled "Flexible Plans for Kubernetes Multi-Tenancy" and its plans never mention vMetal, Slurm, Stacks, Run:ai, inference, NVIDIA or AI clouds. GPUs appear once, as the free-plan limit. An AI cloud operator who clicks from a targeted LinkedIn ad sees a developer-platform price page and a "Chat with Sales" button.
First action
Write the AI cloud column and agree how to describe pricing.
How to measure it
Pricing-page meetings from AI cloud accounts
- Now
- –
- Target
- +50%
- By
- 90 days
Steps
Agree the offer
What an AI cloud plan includes and how it is priced.
Regional Sales Director, West 3 days
Write the column
Included products, proof of value, customer names.
Sr. Demand Generation Manager 2 days
Design it
Tab or fourth column on /pricing.
Web and brand designer 3 days
Route the form
AI cloud requests to AI Infrastructure Engineers.
Revenue Operations Specialist (Deal Desk & Reporting) 1 day
Point the ads
ABM ads to the AI cloud tab.
Sr. Demand Generation Manager 1 day
Fix the copy
Typo and title tag.
Web and brand designer 1 hour
Measure
Meetings and pipeline from the page by segment.
Sr. Demand Generation Manager monthly
Why it works
Add an "AI Cloud and AI Factory" column or tab: what is included (vMetal provisioning, managed Kubernetes, Slurm, Run:ai and inference Stacks, vBilling, 24/7 infra engineers), how it is priced (per GPU or node, in words if not numbers), the proof of value ("<45 days from decision to production") and the operators that run it (Nebius, Nscale). Give it its own call to action, "Plan your AI cloud launch", that routes to AI Infrastructure Engineers, and fix the "mission-critrical" typo while the page is open.
Buyers check pricing before they agree to a call, and the AI cloud deals are the large ones. A page that describes their purchase in their words turns ABM clicks into meetings instead of bounces, and gives the AEs' Business Value Assessment a public starting point.
Ready to use
ChecklistAI cloud pricing tab
[ ] Tab name: AI Cloud and AI Factory [ ] Included: vMetal, managed K8s, Slurm, Run:ai and inference Stacks, vBilling [ ] How it is priced (per GPU or node) [ ] Proof of value: <45 days to production [ ] Operators that run it [ ] "Plan your AI cloud launch" routed to AI Infrastructure Engineers [ ] Fix "mission-critrical" [ ] HubSpot source tag for ABM traffic
Risks and how to handle them
Publishing prices limits negotiation
Describe the pricing model and a starting point, not a rate card.
Confuses Kubernetes-only buyers
Keep the current plans as the default tab for that audience.
Evidence
- Your websitePricing page (checked October 23, 2026): titled "Flexible Plans for Kubernetes Multi-Tenancy" with the headline "Scale Kubernetes Without Scaling Costs"; three plans: Open Source, Free ($0, "Unlimited virtual clusters for up to 64 CPUs or 32 GPUs, and max 1 HA vCluster") and Enterprise ("Chat with Sales"). Outside the site-wide menu, the page never mentions vMetal, Slurm, Stacks, Run:ai, inference, NVIDIA or AI clouds; GPUs appear once, in the free-plan limit. The Enterprise card reads "mission-critrical".Source
- Your websiteHomepage: "Run your AI cloud like a hyperscaler. One platform to turn raw GPUs into every kind of cluster, from bare metal up to Kubernetes, Slurm, inference, and more"; a banner for vMetal; proof points "1 min To spin up isolated K8s environments", "<45 Days from decision to production launch", "31% Of Nebius Token Factory running on vCluster"; "Named in the ClusterMAX security criteria"; talks with NVIDIA, Adobe and Nscale.Source
- HiringSr. Demand Generation Manager (US, posted October 7, 2026): "building the targeted account motion that turns the right platform engineers and infrastructure leaders at the right enterprises and AI Cloud providers into pipeline. There's no existing playbook." Owns LinkedIn, paid search, content syndication, "the livestream and webinar motion" ("the follow-through that turns registrants into pipeline"), best-fit customer profile and target accounts with sales, and "pipeline influence, new opportunities sourced, channel efficiency". Stack: HubSpot or Marketo, Salesforce, intent data (6sense, Bombora), an ABM platform.Source
- HiringCustomer engineering: AI Infrastructure Engineers who work "pre-sale as part of a proof of value engagement scoped to reach production", from bare metal GPU nodes (GPU Operator, RDMA/InfiniBand) to a validated environment ("the playbooks you develop will scale the motion"); Customer Success Engineers who own onboarding and success plans and spot "expansion opportunities" and churn. A Senior Product Manager will "Sharpen the narrative for technical buyers".Source
- Your websitePress room, October 2026: Stacks generally available in vCluster Platform v4.12 (October 8); managed NVIDIA Run:ai clusters on the newly open-sourced Run:ai (October 13); Saturn Cloud per-token inference on vCluster Stacks (October 14); LTS releases (October 18); Deutsche Telekom's Industrial AI Cloud automated by vCluster with NVIDIA DSX OS (October 21).Source