The Backbone of
Indonesia’s Sovereign AI infrastructure
The Backbone of
Indonesia’s Sovereign AI infrastructure
We build the AI infrastructure that powers the future. From Modular AI Data Centers to High-Performance AI Servers, racks and super nodes - manufactured locally, engineered globally.
We build the AI infrastructure that powers the future. From Modular AI Data Centers to High-Performance AI Servers, racks and super nodes - manufactured locally, engineered globally.
Powered by
Powered by
Enabled by
Global Technology, Indonesian Craftsmanship.
Global Technology, Indonesian Craftsmanship.
Global Technology, Indonesian Craftsmanship.
PT Valdo Compute Fabric is the bridge between world-class AI technology and infrastructure and local execution. Part of Valdo Group (Est. 2002), we combine the agility of transformative technology with the strength of a 19,000 strong workforce.
PT Valdo Compute Fabric is the bridge between world-class AI technology and infrastructure and local execution. Part of Valdo Group (Est. 2002), we combine the agility of transformative technology with the strength of a 19,000 strong workforce.
The Mission
To accelerate Indonesia's digital sovereignty by manufacturing and deploying AI-ready data centers and compute power within the archipelago.
The Mission
To accelerate Indonesia's digital sovereignty by manufacturing and deploying AI-ready data centers and compute power within the archipelago.
PT Valdo Compute Fabric is the bridge between world-class AI technology and infrastructure and local execution. Part of Valdo Group (Est. 2002), we combine the agility of transformative technology with the strength of a 19,000 strong workforce.
AI Factory
What is an AI Factory?
An AI Factory is a standardized, modular approach to building and running AI at scale—like a production line for AI. It combines high-performance compute, data pipelines, and MLOps tooling with security, monitoring, and cost controls so teams can move from experimentation to production with consistency and speed.
Why it matters
Most AI initiatives stall because pilots don’t translate into reliable production systems. An AI Factory solves this by providing the architecture, automation, and operational discipline required to deploy AI safely, efficiently, and repeatedly across use cases and business units.
The AI Factory Blueprint
1
Ingestion, governance, quality, lineage, and secure access
Data foundation
Ingestion, governance, quality, lineage, and secure access
Data foundation
2
Scalable GPU/accelerator clusters, scheduling, and performance tuning
AI compute layer
Scalable GPU/accelerator clusters, scheduling, and performance tuning
AI compute layer
3
Containers, orchestration, model registry, feature store, vector databases
AI platform layer
Containers, orchestration, model registry, feature store, vector databases
AI platform layer
4
Training, fine-tuning, evaluation, deployment, and rollback
MLOps / LLMOps
Training, fine-tuning, evaluation, deployment, and rollback
MLOps / LLMOps
5
Identity, encryption, auditability, data residency, policy enforcement
Security & compliance
Identity, encryption, auditability, data residency, policy enforcement
Security & compliance
6
Monitoring, observability, cost allocation (FinOps), capacity planning, SLA support
Operations
Monitoring, observability, cost allocation (FinOps), capacity planning, SLA support
Operations
7
Copilots, RAG apps, agent workflows, and integrations with enterprise systems
Application layer
Copilots, RAG apps, agent workflows, and integrations with enterprise systems
Application layer
What you get with Valdo’s AI Factory approach
1
Ship production AI in weeks, not quarters
Faster time-to-value
Ship production AI in weeks, not quarters
Faster time-to-value
2
A proven pattern you can replicate across teams and sites
Repeatability
A proven pattern you can replicate across teams and sites
Repeatability
3
Built-in governance, security, and model evaluation
Lower risk
Built-in governance, security, and model evaluation
Lower risk
4
Better GPU efficiency through scheduling and right-sized architectures
Higher utilization
Better GPU efficiency through scheduling and right-sized architectures
Higher utilization
5
Monitoring, SLAs, and lifecycle management—not just a lab environment
Production reliability
Monitoring, SLAs, and lifecycle management—not just a lab environment
Production reliability
Our AI Factory approach embeds governance from day one: data access controls, logging, evaluation, and policies that support privacy, security, and compliance. This enables safe deployment of AI in regulated environments and mission-critical operations. Designed for data residency and local compliance that tailor to your actual hosting/controls.
AI you can trust—by design
Our AI Factory approach embeds governance from day one: data access controls, logging, evaluation, and policies that support privacy, security, and compliance. This enables safe deployment of AI in regulated environments and mission-critical operations. Designed for data residency and local compliance that tailor to your actual hosting/controls.
AI you can trust—by design
The Habitat:
Modular Data Centers
The Habitat:
Modular Data Centers
Powered by strategic partnership with Brightray DC
Powered by strategic partnership with Brightray DC
Rapid deployment, prefabricated precision, and AI-ready cooling system
Rapid deployment, prefabricated precision, and AI-ready cooling system
Powered by strategic partnership with Brightray DC
Rapid deployment, prefabricated precision,
and AI-ready cooling system
The Core:
AI Servers, Racks and Super Nodes
The Core:
AI Servers, Racks and Super Nodes
Local assembly of latest AI powered servers, racks and super nodes, and AI-ready cooling system
Powered by by strategic partnership with Ingram Micro
Local assembly of latest AI powered servers, racks and super nodes, and AI-ready cooling system
Powered by strategic partnership with Ingram Micro
Local assembly of latest AI powered servers, racks and super nodes, and AI-ready cooling system
PT Valdo Compute Fabric provide a complete AI factory platform supporting data, compute, software, security, and operations, delivered with proven architectures and partner ecosystems.
PT Valdo Compute Fabric provide a complete AI factory platform supporting data, compute, software, security, and operations, delivered with proven architectures and partner ecosystems.
PT Valdo Compute Fabric provide a complete AI factory platform supporting data, compute, software, security, and operations, delivered with proven architectures and partner ecosystems.
SOFTWARE
SOFTWARE
COMPUTE
COMPUTE
SECURITY
SECURITY
DATA
DATA
OPERATIONS
OPERATIONS
AI Factory
What is an AI Factory?
An AI Factory is a standardized, modular approach to building and running AI at scale—like a production line for AI. It combines high-performance compute, data pipelines, and MLOps tooling with security, monitoring, and cost controls so teams can move from experimentation to production with consistency and speed.
An AI Factory is a standardized, modular approach to building and running AI at scale—like a production line for AI. It combines high-performance compute, data pipelines, and MLOps tooling with security, monitoring, and cost controls so teams can move from experimentation to production with consistency and speed.
Why it matters
Most AI initiatives stall because pilots don’t translate into reliable production systems. An AI Factory solves this by providing the architecture, automation, and operational discipline required to deploy AI safely, efficiently, and repeatedly across use cases and business units.
Most AI initiatives stall because pilots don’t translate into reliable production systems. An AI Factory solves this by providing the architecture, automation, and operational discipline required to deploy AI safely, efficiently, and repeatedly across use cases and business units.
The AI Factory Blueprint
1
Ingestion, governance, quality, lineage, and secure access
Data foundation
Ingestion, governance, quality, lineage, and secure access
Data foundation
2
Scalable GPU/accelerator clusters, scheduling, and performance tuning
AI compute layer
Scalable GPU/accelerator clusters, scheduling, and performance tuning
AI compute layer
3
Containers, orchestration, model registry, feature store, vector databases
AI platform layer
Containers, orchestration, model registry, feature store, vector databases
AI platform layer
4
Training, fine-tuning, evaluation, deployment, and rollback
MLOps / LLMOps
Training, fine-tuning, evaluation, deployment, and rollback
MLOps / LLMOps
5
Identity, encryption, auditability, data residency, policy enforcement
Security & compliance
Identity, encryption, auditability, data residency, policy enforcement
Security & compliance
6
Monitoring, observability, cost allocation (FinOps), capacity planning, SLA support
Operations
Monitoring, observability, cost allocation (FinOps), capacity planning, SLA support
Operations
7
Copilots, RAG apps, agent workflows, and integrations with enterprise systems
Application layer
Copilots, RAG apps, agent workflows, and integrations with enterprise systems
Application layer
What you get with Valdo’s AI Factory approach
1
Ship production AI in weeks, not quarters
Faster time-to-value
Ship production AI in weeks, not quarters
Faster time-to-value
2
A proven pattern you can replicate across teams and sites
Repeatability
A proven pattern you can replicate across teams and sites
Repeatability
3
Built-in governance, security, and model evaluation
Lower risk
Built-in governance, security, and model evaluation
Lower risk
4
Better GPU efficiency through scheduling and right-sized architectures
Higher utilization
Better GPU efficiency through scheduling and right-sized architectures
Higher utilization
5
Monitoring, SLAs, and lifecycle management—not just a lab environment
Production reliability
Monitoring, SLAs, and lifecycle management—not just a lab environment
Production reliability
Our AI Factory approach embeds governance from day one: data access controls, logging, evaluation, and policies that support privacy, security, and compliance. This enables safe deployment of AI in regulated environments and mission-critical operations. Designed for data residency and local compliance that tailor to your actual hosting/controls.
AI you can trust—by design
Our AI Factory approach embeds governance from day one: data access controls, logging, evaluation, and policies that support privacy, security, and compliance. This enables safe deployment of AI in regulated environments and mission-critical operations. Designed for data residency and local compliance that tailor to your actual hosting/controls.
AI you can trust—by design
PT Valdo Compute Fabric provides a complete AI factory platform supporting data, compute, software, security, and operations, delivered with proven architectures and partner ecosystems.
PT Valdo Compute Fabric provides a complete AI factory platform supporting data, compute, software, security, and operations, delivered with proven architectures and partner ecosystems.
SEE VIDEO: Prefabricated hybrid air and liquid cooled AI data center built in 6 months including foundation
SEE VIDEO: Prefabricated hybrid air and liquid cooled AI data center built in 6 months including foundation
FAQ
Here you’ll find answers to both technical and general answers. Get in touch if you still have questions or ideas!
How is an AI Factory different from buying GPUs?
GPUs are only one component. An AI Factory includes the software, data pipelines, security, and operating model needed to run AI reliably in production.
Can we start small?
Yes, start with a pilot factory for one use case, then scale using repeatable templates.
Do you support private deployments?
Yes, on-prem and private cloud options depending on latency, privacy, and data residency needs.
FAQ
Here you’ll find answers to both technical and general answers. Get in touch if you still have questions or ideas!
Here you’ll find answers to both technical and general answers. Get in touch if you still have questions or ideas!
How is an AI Factory different from buying GPUs?
GPUs are only one component. An AI Factory includes the software, data pipelines, security, and operating model needed to run AI reliably in production.
Can we start small?
Yes, start with a pilot factory for one use case, then scale using repeatable templates.
Do you support private deployments?
Yes, on-prem and private cloud options depending on latency, privacy, and data residency needs.