Singapore, August 14, 2024 (Globe Newswire) – AI cloud service providers, part of Bitdeer AI, Bitdeer Technologies Group (NASDAQ: BTDR), have announced the launch of an advanced AI training platform designed to provide fast, scalable AI/ML inference with serverless GPU infrastructure. With the latest AI training platform, BitDeer AI will become one of the first NVIDIA Cloud Service Providers (CSPs) in Asia, offering both cloud services and AI training platforms.
The BitDeer AI training platform allows you to build, train, and tweak AI models at scale through 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 it accessible to a larger audience. Additionally, different teams within the same organization can collaborate on building and developing AI models without the need to manage their own servers, setting new benchmarks for efficiency and performance.
High-performance AI infrastructure
The newly announced platform provides seamless access to the high-performance AI infrastructure and resources of the NVIDIA DGX SuperPod with H100 GPUs, DDN storage and Infiniband networks. Additionally, multi-GPUs are utilized simultaneously across various servers, improving the efficiency and scalability of the AI/ML training process. By distributing workloads to several GPUs, BitDeer AI services can handle a wide range of sophisticated training tasks, making it the perfect choice for organizations that aim to accelerate AI initiatives.
Address major business challenges
- Optimizing development costs: Bitedeer AI allows businesses to optimize costs through pay-as-you-go model, but are billed only when the notebook is in service mode. This approach allows organizations to pay only for the resources they use, making it cost-effective due to AI development.
- Simplify complex GPU infrastructure setup: Serverless infrastructure provides a comprehensive integrated development environment for ML, including 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 environmental consistency: BitDeer AI ensures consistency and repeatability in build environments that are critical to managing the deployment of ML models. This consistency prevents unexpected errors when restarting a CI/CD job or migrating from one platform to another, and avoids costly build errors for long-term ML jobs.
Bitdeer AI worked with the software engineering team at SMU School of Computing and Information Systems to test, validate and tweak the platform to ensure its robustness and effectiveness. Looking ahead, Bitdeer AI will work with NVIDIA to enhance its AI training platform by integrating with NVIDIA AI Enterprise (NVAIE) cloud services such as NIM. This collaboration allows businesses to efficiently customize, test and scale AI agents, further strengthening BitDeer AI's commitment to providing the largest AI solutions.
About Bitdeer AI
BitDeer AI is a leading provider of AI/ML GPU Cloud Solutions, dedicated to empowering businesses with advanced training capabilities and high performance resources. As Singapore's first NVIDIA Cloud Provider (NCP) delivers cloud services and AI training platforms, our innovative solutions and strategic collaboration position us at the forefront of AI development, helping organizations accelerate AI initiatives and achieve their goals. For more information, please see https://www.bitdeer.ai.
Forward-looking statements
The statements in this press release regarding future expectations, plans and outlook, as well as other statements on issues that are not historical facts, may constitute “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. “Forecast,” “Project,” “Required,” “Target,” “will,” “will,” and similar expressions are intended to identify forward-looking statements, but not all forward-looking statements contain these identifiers. Actual results may differ materially from those presented by such forward-looking statements as a result of a variety of important factors, including the discussion of factors discussed in the section entitled “Risk Factors” in Bitdeer's Annual Report on Form 20-F, and other important factors in BitDeer's subsequent filings with the U.S. Securities and Exchange Commission. Forward-looking statements contained in this press release will be made only as of the date of this publication. Bitdeer expressly disclaims its obligation to update its forward-looking statements for new information, future events, or otherwise. Readers must not rely on the information on this page after the date of publication or accurately.
contact:
Media Contact: Retenarine
Email: rethingna.lin@bitdeer.com
