Business servers
Server supply for applications, databases, virtualization, and other computing needs. CPU, memory, storage capacity, and form factor are selected around the workload and deployment environment.
CIPTATEKA / SERVERS, NETWORKING & AI INFRASTRUCTURE
The right equipment for business and AI workloads.
Ciptateka supplies servers, routers, networking equipment, storage, and computing infrastructure for AI. We help define specifications and equipment options around your applications, capacity, operating environment, and growth plans.
01 / SERVICE SCOPE
From servers to the infrastructure supporting AI.
Start with a single device or a set of connected components. Specifications, compatibility, licensing, warranty terms, and availability are discussed when preparing a proposal.
Routers & switches
Routing and switching equipment for offices, operator networks, and data centers. Discuss traffic capacity, port counts and types, interfaces, transceivers, and feature requirements to match equipment with the network design.
Storage & data systems
Storage options for applications, datasets, models, and processing outputs. Capacity, throughput, IOPS, data growth, and integration with existing systems guide the specification discussion.
GPU servers for AI
GPU server supply for AI training, fine-tuning, and inference. Equipment selection considers the model, GPU memory, user or job volumes, software, and target workloads that need to be validated.
Networking for AI workloads
Match connections between servers, storage, and user networks to data movement patterns. Network capacity, interfaces, and equipment compatibility are discussed alongside compute requirements so the components fit the same design.
Procurement & deployment planning
Coordinate final specifications, equipment availability, licensing, warranties, and delivery schedules. Rack space, power, cooling, installation, and on-site support are discussed within the agreed implementation scope.
02 / PREPARATION
Start with your workload and operating environment.
An equipment list or bill of materials is a useful starting point. If specifications are still open, share the application requirements and target capacity so the options can be assessed.
- Applications or workloads: business operations, virtualization, AI training, fine-tuning, or inference.
- CPU, memory, GPU, storage, equipment quantities, and network capacity requirements, where known.
- Software, operating systems, existing equipment, and integration requirements.
- Deployment location, power and cooling limits, target schedule, and budget range.
03 / FREQUENTLY ASKED QUESTIONS
Before you begin.
Can you supply equipment for workloads other than AI?
Yes. Server, router, switch, and storage supply also covers business applications, networking, virtualization, and data center operations. AI requirements are one of the areas we can discuss.
How do I choose a suitable GPU server?
Start with the model and workload, GPU memory needs, processing volumes, and software. Specifications and validation scenarios are discussed before a proposal; GPU count alone does not determine equipment suitability.
Are specific brands and models already selected?
Brand and model selection follows technical requirements, compatibility, and availability. Specifications, licenses, warranty terms, and estimated delivery are confirmed in the proposal.
Can procurement be discussed together with colocation and installation?
Yes. Equipment supply can be coordinated with colocation, connectivity, and on-site technical support. Facility availability, power capacity, cooling, and installation scope need confirmation for the selected location.
LET’S BUILD THE CONNECTION
Let’s start a conversation.
Tell us about your server, networking, or AI workload requirements. Include specifications or an equipment list if available.