Our Vision
Democratizing AI Infrastructure
Break down barriers and make high-performance AI computing accessible to every innovator, regardless of size or location—empowering startups, academic institutions and enterprises.
Company Profile 2026
PT. POLIDISTER INNOVATIONS GROUP
Powering the Future with
AI Compute Solutions
A leading provider of high-performance AI computing solutions in Indonesia, delivering enterprise-grade GPU infrastructure for artificial intelligence, machine learning and deep learning workloads.
01 — About Us
Making world-class AI compute power accessible
Established in 2024, PT. Polidister Innovations Group specializes in enterprise-grade GPU infrastructure that powers AI, machine learning and deep learning workloads.
We serve businesses, researchers and innovators across Southeast Asia, bridging the gap between technological potential and real-world application.
0
Established in Indonesia
SEA
Southeast Asia Focus
Our Mission
Reliable, Scalable & Cost-Effective Solutions
Deliver robust, flexible and affordable enterprise-grade GPU infrastructure that accelerates AI workloads and digital transformation across Southeast Asia.
02 — Why Choose Our GPU Solutions
Performance and flexibility for every AI initiative
Four advantages defined in the company profile support faster experimentation, deployment and scale.
01
High Performance
Powered by next-generation NVIDIA B300 Tensor Core GPUs, delivering breakthrough AI performance with exceptional compute efficiency and accelerated model training capabilities for large-scale generative AI, LLMs, and high-performance computing workloads.
02
Cost Efficiency
A flexible pay-as-you-go model eliminates heavy upfront capital expenditure and allows customers to pay only for the compute resources they consume.
03
Rapid Deployment
Pre-configured GPU clusters reduce lengthy procurement and setup cycles, enabling access within hours rather than weeks.
04
Scalability
Resources can scale up for large training jobs or down for testing phases, reducing overprovisioning and wasted capacity.
03 — On The Way
128 NVIDIA B300 GPU Expansion Project
Q4 2026
128
NVIDIA B300
GPUs
GPUs
Next-Gen AI Compute
Expanding Polidister's AI infrastructure with NVIDIA B300 accelerated computing platforms.
Strategic Scale-Up
Supporting large-scale LLM training, generative AI, inference and high-performance computing workloads.
Ready for Deployment
Project delivery and operational readiness are targeted for Q4 2026.
Building the next generation of AI infrastructure capacity across Indonesia and Thailand
04 — Applications & Use Cases
Compute capacity for demanding AI and HPC workloads
The platform supports model development, production services, scientific simulation and enterprise analytics.
LLM Training
Pre-training and fine-tuning large language models with billions of parameters.
AI Inference Services
High-throughput, low-latency model serving for production-grade applications.
Computer Vision
Image and video recognition, object detection and semantic segmentation.
Scientific Research
Climate modeling, drug discovery, molecular dynamics and material science.
Generative AI
Diffusion models and text-to-image or video synthesis for content creation.
High-Performance Computing
Financial risk modeling, seismic exploration and large-scale data analytics.
05 — Data Center Readiness
Engineer the complete environment before equipment arrives
High-density AI infrastructure requires power, cooling, rack loading, connectivity and operating procedures to be planned as one readiness program.
Facility Engineering
Validate utility capacity, UPS and distribution, cooling strategy, floor loading, rack density and environmental conditions against the GPU cluster design.
Operational Readiness
Confirm delivery routes, staging, access control, remote-hands coverage, maintenance windows, spares handling and escalation paths.
06 — Equipment Networking & Installation
Convert delivered hardware into an installed system
Rack & Stack
Receive, inspect and install GPU servers, switches, storage and supporting nodes to the approved rack and power plan.
Structured Cabling
Build and label power, management and high-speed connections with documented port maps and cable routes.
AI Network Fabric
Configure InfiniBand or high-speed Ethernet topology, then validate link state and redundancy.
Integration Control
Coordinate vendors, data-center operations and customer teams across logistics, installation and change control.
07 — GPU Cluster Integration
One production environment across compute, fabric and storage
Integration aligns firmware, drivers, network fabric, storage, orchestration, security and performance before production use.
Firmware Baseline
Align BIOS, BMC, GPU and switch firmware plus approved settings across every node.
Driver & Runtime
Install and validate the OS, NVIDIA drivers, CUDA libraries, container runtime and workload dependencies.
Fabric Validation
Confirm topology, bandwidth, latency, redundancy and error-free GPU-to-GPU links.
Storage Integration
Verify data paths, permissions, throughput and checkpoint behavior under load.
Cluster Services
Configure scheduling, resource allocation, monitoring, access control and customer environments.
Performance Tuning
Run burn-in and benchmarks, isolate bottlenecks and tune compute, network and storage.
08 — Commissioning & Operational Handover
Create measurable acceptance and a supportable handover
Readiness Review
Verify facility capacity, inventory, firmware, cabling, security controls and operating procedures.
Functional Testing
Check node health, GPU status, network paths, storage, monitoring, alerting and failover.
Performance Acceptance
Execute burn-in, stress and representative AI workloads; record throughput, latency and stability.
Handover & Governance
Deliver as-built records, configuration baselines, runbooks, acceptance evidence and operator training.
09 — Managed Operations & Maintenance
Clear accountability throughout the infrastructure lifecycle
Managed operations cover monitoring, response, maintenance, spares, reporting and planned evolution.
Monitoring
Track hardware health, environmental conditions, fabric errors, capacity and service alerts.
Incident Response
Triage faults, coordinate remote hands and vendors, document impact and restore service.
Preventive Maintenance
Plan inspections, firmware reviews, component checks and controlled maintenance windows.
Spares & RMA
Maintain critical-spares visibility and coordinate replacement through validation.
Capacity & Reporting
Provide utilization, incident, availability and maintenance reporting for governance.
Lifecycle Planning
Plan upgrades, compatibility reviews, capacity expansion and end-of-life actions.
10 — Relevant AI Computing Experience
A delivery baseline for large-scale AI computing services
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NVIDIA H100 Units
Structured and delivered a 256-unit NVIDIA H100 AI-compute service framework.
Delivery Framework
Experience across capacity planning, infrastructure coordination and managed operations.
Planned Expansion
Planning 128 NVIDIA B300 systems in Indonesia with an initial plan of approximately 2.25 MW.
Phased Validation
Final scope and schedule remain subject to engineering, supply, contracts and approvals.
11 — Get In Touch
Let's connect and build something great together
Contact PT. Polidister Innovations Group for inquiries, support and potential collaboration.
Our Location
Rukan CBD, Jl. Green Lake City Boulevard NO.F27, RT.006/RW.008, Petir, Cipondoh, Tangerang City, Banten 15146
Direct Contact
+62 882 2025 8888
Available Monday to Friday, 9 AM – 6 PM (WIB)
Email Us
CS@polidister-ai.com
We typically respond within 24
business hours.
“We value your feedback and are committed to providing you with the best support possible. Let’s connect and build something great together.”