Post
Exemplar Cloud status is confirmation from NVIDIA that Nscale's infrastructure performs at the level their own engineers expect across real training workloads. Read more about our validation on GB300 NVL72, including what was tested, where it happened, and what it means for teams building on Nscale. Full story: https://lnkd.in/d-5vXY28
What this signalsCompany posts often show what the team is pushing right now.
Tags
Technologies named
linkedin-post-companylinkedinPostGet every LinkedIn signal for Nscale and the companies you sell to, in the tools you already use.
Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Nscale this week?”
The Signal API returns LinkedIn signals for any list of companies as JSON, for your CRM, warehouse or app.
Sign up and spend your free credits on the companies you sell to.
This page shows a preview. The full linkedin-post-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/bca158cd-7b98-482b-a648-8ef41871351a returns this record as JSON. POST /v1/companies/enrich returns every signal for nscale.com.
{
"signal_id": "bca158cd-7b98-482b-a648-8ef41871351a",
"signal_type": "linkedin-post-company",
"signal_subtype": "linkedinPost",
"detected_at": "2026-08-13T13:23:59.164+00:00",
"company": {
"name": "Nscale",
"domain": "nscale.com"
},
"data": {
"tags": [
"Artificial Intelligence",
"Infrastructure",
"Cloud"
],
"summary": "Nscale Cloud confirms infrastructure performance with NVIDIA for AI training workloads on GB300 NVL72.",
"post_url": "https://www.linkedin.com/posts/nscale-cloud_validated-on-gb300-nvl72-exemplar-cloud-activity-7492610733348732928-yfh6",
"num_likes": 93,
"post_text": "Exemplar Cloud status is confirmation from NVIDIA that Nscale's infrastructure performs at the level their own engineers expect across real training workloads.\n\nRead more about our validation on GB300 NVL72, including what was tested, where it happened, and what it means for teams building on Nscale.\n\nFull story: https://lnkd.in/d-5vXY28",
"posted_date": "2026-08-10T16:00:04.806Z",
"num_comments": 0,
"technologies_mentioned": [
{
"name": "NVIDIA",
"status": "using"
},
{
"name": "GB300 NVL72",
"status": "implemented"
}
]
}
}
curl https://signals.autobound.ai/v1/signals/bca158cd-7b98-482b-a648-8ef41871351a \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"nscale.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.