A practical enterprise foundation for AI, GPU, and data transformation
Indosat Business brings AI platforms and accelerated infrastructure into a broader enterprise ICT conversation spanning connectivity, cloud, security, integration, professional services, and operations.
Enterprise ICT offering
AI services depend on more than models and GPUs. Indosat Business can align connectivity, cloud, cybersecurity, data platforms, accelerated infrastructure, applications, and managed operations around a defined enterprise outcome.
This integrated perspective helps teams make explicit decisions about ownership, service levels, integration, resilience, governance, support, and commercial scope.
Indosat Business positioning
The offering is designed for Indonesian enterprises moving AI from experiments into secure, production-oriented services. Engagements can begin with discovery, workload sizing, architecture review, proof of value, implementation, or managed operation.
Business and technical stakeholders receive a common architecture and delivery plan instead of isolated infrastructure and application workstreams.
NVIDIA ecosystem and Indonesia-hosted infrastructure
NVIDIA H100 and L40S options support demanding training, inference, graphics, VDI, and accelerated-computing requirements. GPUaaS and private deployment patterns allow organizations to choose consumption, control, and capacity models that fit the workload.
Indonesia-hosted infrastructure can support data-residency objectives when combined with documented data flows, identity, encryption, administrator controls, backups, logs, dependencies, and operating responsibilities.
Security, compliance, and governance
Security architecture includes identity and RBAC, network segmentation, encryption, secrets, image controls, vulnerability processes, audit logs, monitoring, backup, and incident response. Application governance adds model approval, content validation, retrieval controls, evaluation, human escalation, and retention.
Compliance requirements remain customer- and workload-specific. The architecture process records controls and evidence so assurance teams can evaluate the proposed service.
Partner ecosystem and managed service capability
A broad technology ecosystem supports infrastructure, cloud, data, security, applications, and specialist delivery. Partner choices are evaluated against architecture requirements rather than treated as isolated badges.
Managed-service capability can cover monitoring, incident handling, platform administration, capacity review, security maintenance, service reporting, and continuous improvement with responsibilities defined during solution design.
Frequently asked questions
What enterprise AI capabilities are available?
Capabilities include GPUaaS, private GPU infrastructure, DocumentAI, RAG, model serving, Kubernetes AI platforms, professional services, and managed operations.
Can infrastructure be hosted in Indonesia?
Indonesia-hosted and private deployment patterns are available, subject to final architecture, capacity, service scope, and commercial agreement.
How does an engagement begin?
Most engagements start with workload discovery, sizing, architecture, security, integration, operating-model, and timeline requirements.