DEGIMA AI Launches the World's First Cloud Service Utilizing AMD Radeon GPUs
DEGIMA AI has launched the world's first cloud service that allows users to utilize AMD Radeon GPUs. Amidst the soaring prices of PCs and GPUs for AI development, the service aims to provide an environment where the next generation can easily build AI. Furthermore, it is designed to execute AI agents in an isolated cloud environment, mitigating risks to users' local setups. AMD experts and prominent researchers in Japan highly evaluate this initiative as a new option for computing resources.
📋 Article Processing Timeline
- 📰 Published: May 26, 2026 at 18:00
- 🔍 Collected: May 26, 2026 at 09:31
- 🤖 AI Analyzed: May 26, 2026 at 09:36 (4 min after Collected)
May 26, 2026 — DEGIMA AI, Inc. today launched the world's first cloud service* that allows users to utilize AMD Radeon GPUs.
https://degima.ai/
CEO's Comment
Go Hamada (CEO, DEGIMA AI)
As the US and China lead the AI field, I am proud as a Japanese citizen to introduce the world's first AI product of its kind originating from Japan.
Today, PCs capable of running AI are priced comparably to used cars, and adults are constantly competing for GPUs. AI has inadvertently become out of reach for children. I built this cloud with the sole determination to leave behind a place where the next generation can build AI from scratch.
I believe that, like cars and motorcycles, AI can only be truly understood when it is disassembled and rebuilt. I want to leave an environment where the next generation can treat AI not as a black box, but as a tool they can dismantle, reassemble, and master.
Furthermore, while there are increasing opportunities to entrust tasks to AI agents in recent years, risks of unintended impacts on local PC files and development environments have been pointed out. This service is designed to separate AI tasks from the user's local environment, executing them in an isolated cloud environment, thereby realizing a development space where users can experiment safely.
We are starting with a small data center initially, but we will expand the scale according to demand. We intend to contribute, however modestly, to the development of AI in Japan.
Comment from GPU Computing Expert
Dr. Takahiro Harada (Fellow, AMD Headquarters)
An expert who has led R&D in the GPU computing domain at AMD headquarters for many years, including GPU physics simulation, ray tracing, machine learning, and HIP.
I use it myself, and it is a very good product. I believe it is a highly significant initiative that has realized the world's first cloud service where AMD Radeon GPUs can be easily used, through close communication between AMD and DEGIMA AI.
I look forward to the AMD ecosystem expanding further from here.
Comments from Leading Japanese Researchers
Professor Kenji Yasuoka (Keio University)
A leading figure in molecular dynamics simulation using supercomputers.
Mr. Hamada is a pioneer who focused on the potential of GPU-accelerated supercomputers and led their development worldwide long before AI achieved its current global prominence. He is a researcher who won the ACM Gordon Bell Prize with the GPU supercomputer 'DEGIMA', and an entrepreneur who has linked that outstanding expertise to social implementation.
He possesses the ability to transform computing resources whose value the market has not yet fully recognized into highly practical computing infrastructure. I have great expectations for this product as well, as an initiative connected to the technical lineage Mr. Hamada has pioneered.
Professor Rio Yokota (Institute of Science Tokyo)
Co-developer of the domestic LLM 'Swallow' and researcher in the high-performance computing field.
In AI research and development, it is very important to have more choices for computing resources. Until now, opportunities to easily use AMD GPUs on the cloud have been limited, so I am very grateful for this initiative.
It is also welcome news from an academic perspective. I support DEGIMA's new challenge.
* According to the company's research. As a public service primarily targeting AMD Radeon GPUs (including the RX series) and offering everything from sign-up to startup and connection on the cloud.
https://degima.ai/
CEO's Comment
Go Hamada (CEO, DEGIMA AI)
As the US and China lead the AI field, I am proud as a Japanese citizen to introduce the world's first AI product of its kind originating from Japan.
Today, PCs capable of running AI are priced comparably to used cars, and adults are constantly competing for GPUs. AI has inadvertently become out of reach for children. I built this cloud with the sole determination to leave behind a place where the next generation can build AI from scratch.
I believe that, like cars and motorcycles, AI can only be truly understood when it is disassembled and rebuilt. I want to leave an environment where the next generation can treat AI not as a black box, but as a tool they can dismantle, reassemble, and master.
Furthermore, while there are increasing opportunities to entrust tasks to AI agents in recent years, risks of unintended impacts on local PC files and development environments have been pointed out. This service is designed to separate AI tasks from the user's local environment, executing them in an isolated cloud environment, thereby realizing a development space where users can experiment safely.
We are starting with a small data center initially, but we will expand the scale according to demand. We intend to contribute, however modestly, to the development of AI in Japan.
Comment from GPU Computing Expert
Dr. Takahiro Harada (Fellow, AMD Headquarters)
An expert who has led R&D in the GPU computing domain at AMD headquarters for many years, including GPU physics simulation, ray tracing, machine learning, and HIP.
I use it myself, and it is a very good product. I believe it is a highly significant initiative that has realized the world's first cloud service where AMD Radeon GPUs can be easily used, through close communication between AMD and DEGIMA AI.
I look forward to the AMD ecosystem expanding further from here.
Comments from Leading Japanese Researchers
Professor Kenji Yasuoka (Keio University)
A leading figure in molecular dynamics simulation using supercomputers.
Mr. Hamada is a pioneer who focused on the potential of GPU-accelerated supercomputers and led their development worldwide long before AI achieved its current global prominence. He is a researcher who won the ACM Gordon Bell Prize with the GPU supercomputer 'DEGIMA', and an entrepreneur who has linked that outstanding expertise to social implementation.
He possesses the ability to transform computing resources whose value the market has not yet fully recognized into highly practical computing infrastructure. I have great expectations for this product as well, as an initiative connected to the technical lineage Mr. Hamada has pioneered.
Professor Rio Yokota (Institute of Science Tokyo)
Co-developer of the domestic LLM 'Swallow' and researcher in the high-performance computing field.
In AI research and development, it is very important to have more choices for computing resources. Until now, opportunities to easily use AMD GPUs on the cloud have been limited, so I am very grateful for this initiative.
It is also welcome news from an academic perspective. I support DEGIMA's new challenge.
* According to the company's research. As a public service primarily targeting AMD Radeon GPUs (including the RX series) and offering everything from sign-up to startup and connection on the cloud.
FAQ
DEGIMA AIがリリースした新しいクラウドサービスとは何ですか?
AMD Radeon GPUを利用できる世界初のクラウドサービスです。
このクラウドサービスはどのような課題を解決しますか?
高騰するAI PCやGPU不足により困難になったAI開発環境の構築を支援し、ローカル環境から隔離された安全な実行環境を提供します。
DEGIMA AIのCEOは誰ですか?
濱田 剛氏です。
このサービスに対して専門家からどのような評価がありますか?
AMD本社フェローのDr. Takahiro Harada氏が、Radeon GPUを手軽に使える非常に重要な取り組みとして評価し、慶應義塾大学や東京科学大学の教授陣も計算資源の選択肢を広げるものとして期待を寄せています。
このサービスは誰に向けたものですか?
AIを基礎から学びたい次世代のエンジニアや、ローカル環境への影響を懸念せず安全な隔離環境でAI開発を行いたい開発者を想定しています。