Filing excerpt
We plan to reach 400 MW of SI training compute by the end of the year, supporting the development of both vehicle and humanoid robot autonomy software.
Source: Autobound Signal API · 94 signals tracked for Tesla · updated
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What changed at Tesla this week? Use Autobound signals for tesla.com.Tesla is expanding training infrastructure supporting vehicle autonomy and humanoid robotics, with plans to reach 400 MW of SI training compute by year-end and begin equipment commissioning for the Austin Fab in 2027. This rapid buildout may drive demand for high-density power equipment, data center cooling, and specialized compute hardware.
Filing excerpt
We plan to reach 400 MW of SI training compute by the end of the year, supporting the development of both vehicle and humanoid robot autonomy software.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
Regions named
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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/b9e2b7b5-2fbc-40d6-b488-7179e6cec91e returns this record as JSON. POST /v1/companies/enrich returns every signal for tesla.com.
{
"signal_id": "b9e2b7b5-2fbc-40d6-b488-7179e6cec91e",
"signal_type": "sec-8k",
"signal_subtype": "aiInvestment",
"detected_at": "2026-10-27T08:04:16.391+00:00",
"company": {
"name": "Tesla",
"domain": "tesla.com"
},
"data": {
"detail": "Tesla is expanding training infrastructure supporting vehicle autonomy and humanoid robotics, with plans to reach 400 MW of SI training compute by year-end and begin equipment commissioning for the Austin Fab in 2027. This rapid buildout may drive demand for high-density power equipment, data center cooling, and specialized compute hardware.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Tesla plans to scale Super Intelligence training compute to 400 MW by year-end",
"excerpts": "We plan to reach 400 MW of SI training compute by the end of the year, supporting the development of both vehicle and humanoid robot autonomy software.",
"relevance": 0.85,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1318605/000162828026066738/tsla-20261021.htm",
"filing_date": "2026-10-21",
"filing_year": 2026,
"fiscal_year_end": "10/21",
"sales_relevance": "Target for AI vendors",
"signal_category": "technology",
"regions_mentioned": [
"Texas"
],
"technologies_mentioned": [
"SI training compute",
"autonomy software"
]
}
}
curl https://signals.autobound.ai/v1/signals/b9e2b7b5-2fbc-40d6-b488-7179e6cec91e \
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-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"tesla.com","limit":20}'Long text fields are shortened on this page.
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