ePLDT: physical AI company

Overview

ePLDT, a subsidiary of the Philippines' PLDT, runs the country's first GPU-as-a-service, renting on-demand NVIDIA H100 and H200 compute from its 50 MW, AI-ready VITRO Sta. Rosa hyperscale data center, alongside a locally hosted "Pilipinas AI" sovereign stack.

Verified record

Verified deployments: None on file
Active incidents: None on file

Key facts

Type

GPU cloud (GPU-as-a-Service); conglomerate unit

Headquarters

Metro Manila, Philippines

Parent

PLDT

Compute

NVIDIA H100 / H200; VITRO Sta. Rosa (50 MW AI-ready DC)

Data & sources

Web sources

2

2 sources backing this record.View all →

Safety record

No incidents on record for ePLDT.

Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.

Full safety record: incidents, sourcing, and exposure data →

Recent activity

Every change to this record is dated, sourced, and independently verified where marked.

Record createdAug 31, 2026
Added to the verified registry

Full change history →

Sources (2)

Philippines opens first GPU-powered, AI-first hyperscale data center · https://www.rcrwireless.com/20250428/ai-ml/philippines-ai-data · 2025-04-28
ePLDT preparing for AI surge with pioneering GPU-as-a-Service · https://newsbytes.ph/2024/12/31/epldt-preparing-for-ai-surge-with-pioneering-gpu-as-a-service/ · 2024-12-31

Common questions

What is ePLDT?

ePLDT, a subsidiary of the Philippines' PLDT, runs the country's first GPU-as-a-service, renting on-demand NVIDIA H100 and H200 compute from its 50 MW, AI-ready VITRO Sta. Rosa hyperscale data center, alongside a locally hosted "Pilipinas AI" sovereign stack.

What does ePLDT make?

ePLDT has no robot models recorded on the DEPLOY registry.

Where is ePLDT headquartered?

ePLDT is headquartered in Metro Manila, Philippines.

Is ePLDT safe?

ePLDT has no incidents on record in the DEPLOY registry. This does not constitute a safety guarantee; it reflects the incidents DEPLOY has tracked and verified to date.

Methodology: Verified · 2 sources (no primary) · last reviewed 2026-08-31

Verification posture

Verified

Low confidence

Review state

Stable

Last reviewed 2026-08-31

Sources by quality tier

2: unclassified; Unclassified source

The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.

No press coverage on file for ePLDT yet. Coverage appears here automatically as articles are ingested from our press sources.

Machine-readable surfaces

Markdown mirror: /companies/epldt.md
RSS feed: /companies/epldt/feed.xml
JSON-LD: embedded in this page’s head
REST API: /v1/companies/db33fdbb-34b0-4de1-80c6-757930729bf0
Revision history: /companies/epldt/history
Data documentation: /data
Query this programmatically: Deploy MCP