Nscale is hiring a Performance Marketing Manager to run Google Ads, LinkedIn, YouTube and developer platforms, judged on CTR, CPL, conversion and SQL rate. But nscale.com has no pricing page: the H100, H200, GB200, GB300 and Vera Rubin pages show specifications and a "Reserve GPUs" button, and serverless model prices are only visible through the API. Lambda, Nebius and CoreWeave all show per-GPU-hour prices on public pages, so a developer comparing clouds can rule Nscale out before they ever fill in a form.
First action
Export today's serverless model prices from the List endpoints API and draft the table.
How to measure it
Conversion from price-intent paid clicks
- Now
- –
- Target
- 2x the site average
- By
- 90 days
Steps
Agree what to show
Serverless per-token prices, on-demand "from" GPU-hour prices, reserved by quote.
US Product Marketing Manager 3 days
Pull the data
Serverless prices from the List endpoints API so the page never drifts from the console.
Staff Product Engineer, Developer Experience 2 days
Build the page
/pricing in Webflow with three blocks and a calculator for tokens per month.
Web team (Webflow) 1 week
Link it everywhere
Main navigation, every GPU node page and the Dedicated Inference page.
Web team (Webflow) 1 day
Add structured data
Product and Offer markup so search and AI assistants can quote the prices.
Web team (Webflow) 1 day
Launch the ads
Price-intent search and developer-platform campaigns pointed at /pricing.
Performance Marketing Manager 1 week
Route reserve requests
Reserved-capacity form answers go to the AI Natives and enterprise teams with GPU count and term.
Director of Sales Operations 2 days
Measure
CPL, conversion and SQL rate for /pricing against the GPU node pages.
Performance Marketing Manager weekly
Why it works
Publish /pricing with three blocks: serverless inference prices per million tokens for the models already live (the data the List endpoints API returns), "from" prices per GPU-hour for on-demand instances, and a reserved-capacity block with a "Talk to us for committed pricing" form, as Lambda does. Link it from the main navigation and every GPU node page, add Product structured data, and make it the landing page for price-intent search ads ("H100 cloud price", "GB300 rental").
Price is the first filter for developers and AI start-ups. A public "from" price keeps Nscale in the comparison, lowers cost per lead on price-intent keywords and sends sales better-qualified reserve requests, while committed deals stay negotiated.
Ready to use
ChecklistPricing page launch list
[ ] Serverless price per 1M input and output tokens, per model [ ] On-demand "from" price per GPU-hour, per GPU type [ ] Reserved capacity block with a form (GPU type, count, term) [ ] Token-cost calculator [ ] Link from main navigation and all GPU node pages [ ] Product / Offer structured data [ ] "Last updated" date [ ] Separate conversion events in GA4 and HubSpot
Risks and how to handle them
Prices change often
Feed serverless prices from the API and date the GPU block.
Competitors undercut publicly
Show "from" prices and sell the full stack, sovereignty and reserved terms.
Evidence
- HiringPerformance Marketing Manager (London, posted October 7, 2026): owns "LinkedIn, Google Ads, YouTube, and other paid channels—including developer-centric platforms" for "account-based and developer-focused demand"; manages "CTR, CPL, CVR, SQL rate"; maintains tracking in "GA4, server-side GTM, and HubSpot" and builds "an experimentation roadmap for creative, targeting, and channel testing".Source
- Your websitenscale.com has no pricing page: the main navigation offers "Reserve GPUs", "Start Building" and "Contact". The GPU node pages (H100, H200, GB200, GB300 NVL72, Vera Rubin NVL72) list NVIDIA specifications with "Reserve GPUs" and "Get in touch" buttons and no price. The docs say AI services "use a credit-based billing system" ("To access AI services, you'll need to purchase credits"), and per-model prices appear only through the List endpoints API ("pricing as decimal USD").Source
- Competitor researchRivals publish prices on public pages: Lambda's pricing page ("Clear, straightforward pricing for Instances, 1-Click Clusters, and Superclusters. Contact us for reserved capacity at our lowest prices.") lists HGX B200 clusters from $8.87 to $9.86 per GPU-hour; Nebius lists HGX H100 on-demand at $4.50 per GPU-hour; CoreWeave lists an 8-GPU HGX H100 node at $49.24 per hour on demand.Source
- Your websiteSitemap (190 URLs, checked October 21, 2026): 81 blog posts, 46 press releases, 10 event pages, four gated reports (including State of AI Natives 2026 and AI Grid), five GPU node pages, two industry pages (telco, AI native) and a partner lead referral form; the newest blog post is "Why Are AI Costs So Difficult to Predict" (October 21, 2026); no case studies, no pricing page and no comparison pages.Source