Train custom AI models on our infrastructure — or rent dedicated training clusters on contract.
Shuangteng Technology helps teams move from “prototype” to production AI. We run end-to-end training for your custom models on our servers, offer contract-based GPU cluster rentals, and design & deploy AI systems integrated directly into your workflows.
Services
Practical offerings for teams that need reliable compute, serious training runs, and production-grade AI delivery.
Outsourced Model Training (on our servers)
We handle training execution end-to-end: environment setup, data pipelines, experiment tracking, evaluation, and repeatable training runs. You get artifacts, metrics, and a clean handoff.
Contract GPU Cluster Rentals
Reserve dedicated compute capacity for your team—short or long term. Ideal for steady training demand, deadlines, or when cloud costs and availability become unpredictable.
Custom AI System Design & Deployment
We design and deploy complete AI systems: model serving, APIs, data connectors, guardrails, monitoring, and integration into your product or internal workflow.
MLOps, Monitoring & Lifecycle Updates
Versioning, evaluation gates, drift monitoring, incident response, and scheduled retraining plans. Keep models stable as your data and requirements change.
Data & Evaluation Readiness
Dataset audits, labeling strategy, privacy-aware preprocessing, and robust eval suites. We focus on measurable improvements—not just “bigger training.”
Security & Isolation Options
Segmented projects, access controls, and controlled environments. We can support tighter requirements depending on your data sensitivity and compliance needs.
How we work
A straightforward engagement flow that keeps scope tight and outcomes measurable.
- Discovery: define the use case, constraints, success metrics, and target deployment environment.
- Plan: confirm data readiness, model approach, compute requirements, and milestones.
- Build & Train: run training cycles with experiment tracking, evaluations, and structured reporting.
- Deploy: deliver the model + serving stack (API/on-prem) with monitoring and rollout playbooks.
- Operate: ongoing optimization, retraining strategy, and reliability improvements.
About Shuangteng Technology
Why we exist, and what we optimize for.
Why we started
Shuangteng Technology was started after we watched a familiar pattern repeat: teams would prove value with a small AI prototype, then hit a wall when it came time to train at scale. GPU availability fluctuated, cloud bills spiked, and “one more training run” became a budget conversation instead of an engineering decision.
As demand for custom AI models surged across industries, we built Shuangteng to fill a simple market gap: dependable training execution and predictable capacity—paired with real deployment work that connects models to the customer’s actual use case.
What we value
- Measurable outcomes: evaluation-first work, clear success metrics, and transparent reporting.
- Operational realism: reproducible training, stable serving, and monitoring from day one.
- Flexible delivery: outsourced training, cluster contracts, or full-stack system deployment.
- Security-minded execution: controlled access and isolation options when data sensitivity demands it.
Contact
Send a quick note with your goals, timeline, and dataset size (roughly). We’ll respond with next steps.