VirtAITech

What is VirtAITech?

VirtAITech (趋动科技) builds OrionX, software that pools GPUs across many servers into one shared resource for AI workloads. Applications can call physical GPUs on other machines over the network, resources are allocated when an app starts and released when it exits, and GPUs can be split into smaller shares and oversubscribed so more jobs run in parallel. OrionX vGPU works with existing AI and CUDA applications without code changes and supports AI chips from several vendors. A lightweight community edition is offered for building a data-center GPU pool. The company also runs 趋动云, an AI development cloud with dozens of GPU instance types, built-in environments, public datasets and JupyterLab. A January 2024 article quoted prices from 0.49 yuan per card-hour. Product pages are in Chinese.

Use cases

• Pool GPUs across servers into one resource
• Split a GPU between several AI jobs
• Call remote GPUs from applications
• Train models on a hosted GPU cloud
• Queue and prioritize GPU tasks
• Develop AI in JupyterLab on pooled GPUs

Who it's for

• AI developers
• Data center operators
• Researchers
• Enterprise IT teams

Why use VirtAITech

• Existing AI and CUDA applications can run on pooled GPUs without modification.
• Splitting and oversubscription raise GPU utilization across a cluster.
• Queueing and quotas reduce contention for shared hardware.
• The cloud platform ships with environments and datasets so setup is lighter.

VirtAITech features

• GPU pooling with unified scheduling across servers
• Remote GPU calls that decouple applications from hardware
• Automatic allocation and release without restarting VMs or containers
• Compute and memory splitting with oversubscription
• Task queuing and priority management
• GPU live migration
• Resource quotas for fair sharing
• Compatibility with existing CUDA and AI applications
• Monitoring reports and open APIs in the community edition
• Cloud GPU instances with JupyterLab and built-in environments

VirtAITech integrations

• JupyterLab
• VS Code
• TensorFlow
• PyTorch

How to get started with VirtAITech

1. Install OrionX on several GPU servers connected by a network.
2. The software combines them into a single GPU resource pool.
3. Applications request GPUs when they start and the pool allocates them dynamically.
4. Resources are released when the application exits, ready for the next job.

VirtAITech limitations

• Product and pricing pages are written in Chinese
• OrionX enterprise pricing is not published
• The community edition requires an application through the vendor's assistant

VirtAITech pricing

VirtAITech is sold on custom quotes, so its prices aren't published. Paid plans start at CN¥0.49 usage-based, according to the official pricing page on 24 Oct 2026.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

VirtAITech alternatives

The main VirtAITech alternatives listed on Debuly are Lambda, CoreWeave, Determined, Baseten, Groq and Modal. The table compares pricing and platforms; order is A–Z.

1. 

   Baseten

   Inference platform for deploying open-source, custom and fine-tuned AI models, with per-token Model APIs and dedicated GPUs.

   Developer platforms
   PaidVisit Baseten (official site)
2. 

   CoreWeave

   AI cloud that rents NVIDIA GPU capacity by the hour, with on-demand, spot and reserved plans for model training and inference.

   Developer platformsCoding
   PaidVisit CoreWeave (official site)
3. De

   Determined

   Open-source deep learning platform for distributed training, hyperparameter tuning, GPU scheduling and experiment tracking.

   Developer platformsCoding
   Open sourceVisit Determined (official site)
4. 

   Groq

   GroqCloud inference API that serves open models such as GPT-OSS and Whisper on Groq's LPU hardware, billed per token.

   Developer platformsAudio and voiceCoding
   FreemiumVisit Groq (official site)
5. 

   Lambda

   GPU cloud for AI with on-demand NVIDIA instances and reserved 1-Click Clusters for training, fine-tuning and inference.

   Developer platformsCoding
   PaidVisit Lambda (official site)
6. 

   Modal

   Serverless cloud platform for running AI inference, training, batch jobs and agent sandboxes, billed per second of compute.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Modal (official site)

VirtAITech FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from virtaitech.com · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

Spot an error? Report an issue with this listing. We also remove a logo or image on the owner's request.