AI infrastructure, made practical

Compute without the cloud maze.

Renasen turns demanding AI workloads into clear infrastructure plans — from the first prototype to sustained production capacity.

Tell us what you are building Explore workloads
Flexible configurations Deployment guidance Production-minded support
Right-sized computeMatch infrastructure to model, traffic and budget.
Faster decisionsTurn vague requirements into an actionable plan.
Ready to scaleStart focused, then expand as the workload proves itself.
One clear pathCapacity, deployment and next steps in one conversation.

Infrastructure in motion

The physical layer behind every intelligent result.

Models may live in software, but dependable AI begins with real compute, storage, networking and operational discipline.

Built around the workload

Start with the outcome, not a wall of specifications.

Tell us what the system must do. We translate model size, concurrency, latency, data volume and timeline into a practical compute direction.

Training and fine-tuning

Shape an environment around dataset size, checkpoint frequency, precision and the iteration speed your team actually needs.

LLMVisionLoRADistributed training

Real-time inference

Balance throughput, latency and cost for APIs, assistants, search, recommendation and other always-on AI products.

Low latencyAutoscalingAPI serving

Generative media

Plan capacity for image, video, 3D and audio generation without letting long queues slow down creative output.

ImageVideo3DAudio

Research and batch compute

Run experiments, evaluation, simulation and data pipelines with a setup designed around the job rather than a generic template.

EvaluationSimulationData pipelines

Infrastructure that fits

More than raw GPU capacity.

A useful compute plan accounts for the complete path: accelerator class, CPU and memory balance, storage, network behavior, software image and operational handoff.

A configuration shaped around your constraints.

We help you compare the trade-offs that matter before capacity is committed. Exact hardware and regional availability are confirmed during planning.

Accelerator directionH-series · L-series · RTX
Deployment patternSingle node · Multi-node
EnvironmentFramework-ready image
Scale profileProject · Reserved · Elastic
01 / Compute

Balanced nodes

GPU, CPU and memory selected as a system, not isolated line items.

02 / Data

Storage that keeps up

Plan for dataset movement, checkpoints, caching and sustained throughput.

03 / Operations

A clearer handoff

Define access, environment and deployment needs before launch day.

A shorter path to capacity

Three steps from idea to infrastructure plan.

No oversized configuration table. Give us the workload context first, then review a direction that is easier to understand and easier to act on.

Describe the workload

Share the model, development stage, expected demand, region and timeline.

Review the direction

We map those requirements to a practical configuration and call out the trade-offs.

Confirm and deploy

Finalize capacity, environment and access details, then move into implementation.

Questions, answered

What teams usually ask first.

Availability and final configuration depend on region, workload and timing. The request form gives us enough context to start with useful answers.

Can I start with a smaller configuration?

Yes. A focused proof-of-concept is often the right first step. We can plan the initial setup around validation goals, then define a path toward larger production capacity.

Do you support both training and inference?

Yes. The right hardware and topology can differ significantly between the two, so the request form asks about your primary workload and operating stage.

Can you work with an existing software stack?

In many cases, yes. Include your framework, container, driver or image requirements so compatibility can be reviewed as part of the plan.

How quickly can capacity be confirmed?

That depends on hardware class, quantity, deployment region and duration. A complete workload request helps shorten the confirmation process.

Request capacity

What are you building next?

Share the essentials. Renasen Technology will use them to understand the workload and prepare the next step.

No phone number required No messaging account required One structured project request

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