Bitdeer AI Unveils Advanced AI Training Platform with Serverless GPU Infrastructure for Scalable and Efficient AI/ML Inference

SINGAPORE, 14 August 2024 (GLOBE NEWSWIRE) — Bitdeer Artificial IntelligenceBitdeer Technologies Group (NASDAQ: BTDR), a leading AI Cloud service provider, announced the launch of its advanced AI Training Platform designed to enable fast and scalable AI/ML inference with serverless GPU infrastructure. With its latest AI Training Platform, Bitdeer AI becomes one of the first NVIDIA Cloud Service Providers (CSPs) in Asia to offer both cloud service and an AI training platform.

Bitdeer AI Training Platform enables anyone to build, train, and fine-tune AI models in a scalable way through project-based notebooks and organized resources. Based on pre-configured guides and customizable parameters, the innovative platform simplifies the process of developing and improving AI models, making them accessible to a wider audience. It also enables different teams within the same organization to collaboratively build and develop AI models without having to manage their own servers, setting a new benchmark in efficiency and performance.

High Performance AI Infrastructure

The newly announced platform offers seamless access to high-performance AI infrastructure and resources from NVIDIA DGX SuperPOD with H100 GPUs, DDN Storage, and InfiniBand Networks. It also increases the efficiency and scalability of AI/ML training processes by using multiple GPUs simultaneously across multiple servers. By distributing the workload across several GPUs, Bitdeer AI’s services can handle extensive and complex training tasks, making it an optimal choice for organizations looking to accelerate their AI initiatives.

Addressing Key Business Challenges

• Optimizing Development Costs: With Bitdeer AI, businesses can optimize costs with a pay-as-you-go model, charging only when laptops are in service mode. This approach makes AI development more cost-effective by ensuring organizations only pay for the resources they use.
• Simplifying Complex GPU Infrastructure Deployments: Provides a comprehensive integrated development environment for ML, including serverless infrastructure, 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 and streamlines the AI ​​development process.
• Ensuring Manufacturability and Environmental Consistency: Bitdeer AI provides consistency and reproducibility in the build environment, which is critical for managing ML model deployment. This consistency helps avoid costly build errors in long-running ML jobs by preventing unexpected failures when restarting CI/CD jobs or migrating from one platform to another.

Bitdeer AI partnered with a software engineering team from SMU’s School of Computing and Information Systems to test, validate, and fine-tune the platform, ensuring its robustness and effectiveness. Moving forward, Bitdeer AI plans to collaborate with NVIDIA to develop its AI Education Platform by integrating with NVIDIA AI Enterprise (NVAIE) cloud services (e.g. NIM). This collaboration will further solidify Bitdeer AI’s commitment to providing top-tier AI solutions by enabling businesses to efficiently customize, test, and scale their AI agents.

About Bitdeer AI

Bitdeer AI is a leading AI/ML GPU cloud solutions provider dedicated to providing enterprises 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, our innovative solutions and strategic partnerships put us at the forefront of AI development and help organizations accelerate their AI initiatives and achieve their goals. For more information, please visit: https://www.bitdeer.ai.

Forward-Looking Statements

Statements in this press release regarding future expectations, plans and prospects and other statements about 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,” “believe,” “continue,” “may,” “estimate,” “expect,” “intend,” “could,” “plan,” “potential,” “predict,” “project,” “should,” “target,” “will,” “would” and similar expressions are used to identify forward-looking statements, but not all forward-looking statements contain these identifying words. Actual results could differ materially from those expressed in such forward-looking statements due to a variety of important factors, including the factors discussed in the section entitled “Risk Factors” in Bitdeer’s annual report on Form 20-F and discussions of potential risks, uncertainties and other important factors in Bitdeer’s subsequent filings with the U.S. Securities and Exchange Commission. The forward-looking statements contained in this press release speak only as of the date hereof. Bitdeer expressly disclaims any obligation to update any forward-looking statements, whether as a result of new information, future events or otherwise. Readers should not rely on the information on this page to be current or accurate after the date hereof.

Contact:

Media Contact: Retainna Lin
Email: [email protected]