How to select the most appropriate GPU service for your business needs (from a GPU computing platform)

GPU is now a very popular term in the new AI era. Many service providers, including existing public cloud service providers, learning model application providers or new entrant companies, will provide these GPUs or related services to the market as soon as they can. There are three main service models: 1) Public cloud - providing small GPU computing capacity with 1 to 8 GPUs; 2) Public cloud - providing large GPU computing capacity with up to 512 GPUs; 3) Private cloud, whereby/where/in which clients can use the network, VPN or local loop to access their GPU pool.

How does a company choose the right GPU service among them? If you’re a startup developing a new AI service, timeliness is important, so the first model will be the most suitable for your needs. If your model training requires a lot of computing power, but the running time is short, then the second model will be better. If your company doesn’t want to leave any information behind, or fear that confidential information could be leaked, then the last model with a local loop would be the best solution.

All GPU computing services will be performed on a platform that can manage GPU/memory/storage/network resources. Other important issues are network security, billing and ecosystem. Choosing a good platform or partner is a key factor in the success of the business model, because a good platform will operate with stability, flexibility, low cost, and high quality.

Chief Telecom Inc. is central to the AI boom, and it can simultaneously position itself as: 1) a multi-vendor for cloud and GPU; 2) a healthcare player and ecosystem builder. Another goal is to invite AI SaaS service providers to join it, and become one of their SaaS services, such as SeaMeet AI conference recording and audio-to-text translation services. We will provide as many SaaS services as possible through service cooperation with these startups.

Although AI is a new technology, Chief Telecom Inc. will take advantage of the trend and create a new AI business model, adjusting it as it goes, with its clients and partners to strengthen its ecosystem and services.

please contact us or go to see our website: https://www.chief.com.tw/ if you are interested in how our service can support your GPU business model.