SINGAPORE, Aug. 14, 2024 — Bitdeer AI, a subsidiary of Bitdeer Technologies Group (NASDAQ: BTDR), a leading AI Cloud service provider, has announced the launch of its advanced AI Training Platform. This platform is designed to deliver fast and scalable AI/ML inference using serverless GPU infrastructure. With this new platform, Bitdeer AI becomes one of the first NVIDIA Cloud Service Providers (CSP) in Asia to offer both cloud services and an AI training platform.
The Bitdeer AI Training Platform empowers individuals and organizations to build, train, and fine-tune AI models at scale. It provides notebooks and organized resources on a project basis. The platform simplifies the process of developing and refining AI models, making them accessible to a wider audience. It also allows teams within the same organization to collaborate on AI model development without the need to manage their own servers, setting a new benchmark for efficiency and performance.
High-Performance AI Infrastructure
The newly announced platform provides seamless access to high-performance AI infrastructure and resources. These resources include NVIDIA DGX SuperPOD with H100 GPUs, DDN Storage, and InfiniBand Networks. The platform enhances the efficiency and scalability of AI/ML training processes by utilizing multiple GPUs across various servers simultaneously. By distributing the workload across several GPUs, Bitdeer AI’s services can handle extensive and sophisticated training tasks, making it an optimal choice for organizations aiming to accelerate their AI initiatives.
Addressing Key Business Challenges
- Optimizing Development Costs: With Bitdeer AI, businesses can optimize costs through a pay-as-you-go model, being charged only when notebooks are in service mode. This approach ensures that organizations only pay for the resources they use, making AI development more cost-effective.
- Simplifying Complex GPU Infrastructure Setups: The serverless infrastructure provides a comprehensive integrated development environment for ML. It includes pre-built algorithms and support for popular frameworks such as TensorFlow and PyTorch. This significantly reduces the complexity and time required to develop and train ML models, streamlining the AI development process.
- Ensuring Reproducibility and Environment Consistency: Bitdeer AI ensures consistency and reproducibility in the build environment, which is crucial for managing ML model deployment. This consistency prevents unexpected errors when restarting CI/CD jobs or migrating from one platform to another. It avoids costly build errors in long-running ML jobs.
Bitdeer AI partnered with a software engineering team from the SMU School of Computing and Information Systems to test, verify, and fine-tune the platform. This collaboration ensured its robustness and effectiveness. Moving forward, Bitdeer AI plans to collaborate with NVIDIA to enhance the AI Training Platform by integrating with NVIDIA AI Enterprise (NVAIE) cloud services such as NIM. This collaboration will enable businesses to customize, test, and scale AI agents efficiently. It further solidifies Bitdeer AI’s commitment to providing top-tier AI solutions.
About Bitdeer AI
Bitdeer AI is a leading provider of AI/ML GPU cloud solutions. It is dedicated to empowering businesses with advanced training capabilities and high-performance resources. As the first NVIDIA Cloud Provider (NCP) in Singapore to offer cloud services and an AI training platform, its innovative solutions and strategic collaborations position it at the forefront of AI development. Bitdeer AI helps organizations accelerate their AI initiatives and achieve their goals. For more information, please visit .
Forward-Looking Statements
Statements in this press release about future expectations, plans, and prospects, as well as any other statements regarding matters that are not historical facts, may constitute “forward-looking statements” within the meaning of The Private Securities Litigation Reform Act of 1995. The words “anticipate,” “look forward to,” “believe,” “continue,” “could,” “estimate,” “expect,” “intend,” “may,” “plan,” “potential,” “predict,” “project,” “should,” “target,” “will,” “would” and similar expressions are intended to identify forward-looking statements, although not all forward-looking statements contain these identifying words. Actual results may differ materially from those indicated by such forward-looking statements as a result of various important factors, including factors discussed in the section entitled “Risk Factors” in Bitdeer’s annual report on Form 20-F, as well as discussions of potential risks, uncertainties, and other important factors in Bitdeer’s subsequent filings with the U.S. Securities and Exchange Commission. Any forward-looking statements contained in this press release speak only as of the date hereof. Bitdeer specifically disclaims any obligation to update any forward-looking statement, whether due to new information, future events, or otherwise. Readers should not rely upon the information on this page as current or accurate after its publication date.
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