ArusGridProject
Directory › India › Gujarat › L&T Vyoma Dholera

L&T Vyoma Dholera data center

Dholera SIR, Gujarat, India · Gujarat market · location approximate to district level

L&T Vyoma Dholera is a data center project in Dholera SIR, India, operated by Larsen & Toubro Vyoma. It has been announced and has not yet reached the land or permitting stage. The published capacity figure is 250 MW, and its basis is not stated as IT load.

Latest change on record: entered the record as announced on 20 February 2026. Record last checked against its sources on 2 October 2026.

Open on the mapSuggest a correction
Stage
Announced
Planned IT load
250 MW
unstated
Running now
Not disclosed
Operators rarely publish this
Operator
Larsen & Toubro Vyoma
Colocation
AI workloads
Likely
Evidence grade
Sourced

Where it sits

Gujarat holds 3 active projects with 538 MW of planned IT load between them, and L&T Vyoma Dholera ranks first by planned capacity. Of those, 3 are announced only. No third party publishes a colocation vacancy rate for Gujarat, and ArusGrid does not estimate one.

L&T Vyoma has 2 others in India tracked by ArusGrid, including L&T Vyoma Mahape and L&T Vyoma CHN 1. No tenant has been disclosed, which is normal for colocation and says nothing about occupancy.

The stage was recorded as announced only on 20 February 2026. The money on record is INR 250bn (about US$2.9bn) as of February 2026, the announced investment.

The US export control position for advanced AI chips in India, as of 27 September 2026, is recorded as “No US destination-based licence requirement as enforced”. ArusGrid holds 2 public sources for this project, the latest dated 23 February 2026, and last checked the record on 2 October 2026.

How well evidenced is it

One or two hard signals sit behind the announcement. The rules are fixed and published on the Methodology page.

Named funderNo
Disclosed clientNo
Committed or approved capitalYes
Dated, sized phaseNo
Three or more sourcesNo
Dated source in the last 24 monthsYes

AI workloads

StatusLikely

Described as a green AI ready hyperscale data centre. No tenant.

Access to AI chips

GradeNo US licence required

This country carries no US destination-based licence requirement for advanced AI chips as the rules are enforced today. Access is a commercial matter between the project and its vendors. Criteria are published on the Methodology page.

US licence required for this destination as enforcedNo
A party headquartered in China or Macau on the projectNo
Country-level export frameworkNo
A party named in a government authorisationNo
US approved operator or confirmed client on the projectNo
Named chip-vendor partnershipNo

No US destination-based licence requirement as enforced · No US destination-based licence requirement as enforced (2026-09-27) source

Stage history

2026-02-20Announced · newsonair.gov.in

Who is behind it

OperatorLarsen & Toubro Vyoma · Colocation

Who uses the compute

No tenant disclosed. Most colocation leases are confidential, so this says nothing about occupancy. Not yet checked against second-order sources.

Money at this site

Announced investment, 2026-02INR 250bn (about US$2.9bn)

The figure covers the whole campus.

Build, land, power and water
Nothing found in public sources yet. Most contractors and utilities never name their data centre clients. Know who built it or where its power comes from? Tell us.

Sources checked 2026-10-02

  1. Gujarat signs agreement with Larsen & Toubro Vyoma to build AI data center in Dholera (News on AIR, 2026-02-20)
  2. L&T Vyoma Signs Rs 25,000 Crore MoU For 250 MW Green AI Data Centre in Dholera (Angel One, 2026-02-23)

More in Gujarat

Also run by L&T Vyoma

All projects in Gujarat · All projects in India · All L&T Vyoma projects · All projects announced only · Full directory

Planned MW is IT load, the power available to servers, unless marked otherwise. Running capacity is rarely published, so a missing figure means undisclosed. Definitions, sourcing standards and evidence rules are on the Methodology page. Data is CC BY-NC 4.0. Corrections go to [email protected]. Dataset updated 2026-10-02.