About Us

Wyden Technology is an AI infrastructure provider focused on delivering high-performance GPU cloud computing, elastic compute leasing, and end-to-end AI infrastructure solutions for enterprises and research institutions.

We enable customers to train models, deploy inference workloads, and scale AI applications efficiently through reliable and extensible compute infrastructure.

About Us

Overview

Founded in response to the rapid growth of AI computing demand,
Wyden Technology focuses on building GPU cloud infrastructure designed for next-generation AI workloads.

We deliver flexible compute solutions ranging from single-GPU leasing to large-scale distributed clusters,
supporting AI model training, inference services, data processing, and private or hybrid cloud deployments—
with an emphasis on performance, elasticity, and enterprise-grade reliability.

GPU compute hours delivered

Enterprise and institutional customers

Vision & Mission

Mission

To lower the barrier to high-performance computing through professional GPU cloud and AI infrastructure services,
accelerating the real-world adoption of AI across industries.

Vision

To become a trusted global partner for enterprise AI infrastructure,

removing compute limitations as a barrier to AI innovation.

Team & Technical Expertise

Wyden Technology’s core team brings extensive experience in high-performance computing, cloud infrastructure architecture, and AI systems engineering.

With deep understanding of AI workloads across compute, networking, storage, and scheduling layers,
we design AI infrastructure that is practical, scalable, and production-ready.

Core Team: Expertise in Compute Infrastructure

Our team consists of professionals from cloud computing, data center operations, AI platforms, and systems engineering,

with hands-on experience in GPU cluster architecture, distributed training, inference optimization, and large-scale compute orchestration.
We go beyond providing raw compute—
we help customers build AI infrastructure that is stable, efficient, and sustainable over time.

Technical Leadership: The CTO previously led the development of a GPU cluster scheduling system for a leading cloud provider and participated in the formulation of domestic industry standards for distributed computing power scheduling; the AI technology lead has deep expertise in large-scale model training optimization and has helped research teams improve the training efficiency of models with hundreds of billions of parameters by 40%.

The execution team consists of engineers, 80% of whom hold master’s degrees or above, covering specialized roles such as “computing power scheduling development, hardware operation and maintenance, and scenario-based solution design.” They can quickly respond to customized needs of enterprise customers (such as industrial-grade inference deployment and the construction of dedicated computing power clusters for scientific research).

Service support: A 24/7 technical support team has been established, and all members are officially certified by NVIDIA. They can accurately solve core issues such as GPU driver adaptation and model deployment and debugging, with an average fault response time of less than 15 minutes.

Technology Foundations

We have developed all the technologies in-house to create a professional computing power service ecosystem.

Compute Orchestration

Efficient GPU scheduling with multi-tenant isolation and elastic scaling.

High-Performance Networking

RDMA-enabled, high-bandwidth networks for distributed training and low-latency inference.

Cluster & Systems Engineering

Unified management and operations from single nodes to large-scale GPU clusters.

AI Software Ecosystem

Deep integration with mainstream AI frameworks and inference engines to accelerate deployment.

Global Footprint

Wyden Technology operates compute nodes across key global regions,
delivering stable, low-latency AI computing services and supporting multi-region deployments and business expansion.