Bitdeer AI uses pre-configured guides and customisable parameters to simplify the process of developing and refining AI models.
Bitdeer AI, a leading AI Cloud service provider and part of Bitdeer Technologies Group, has launched its advanced AI Training Platform to provide fast and scalable artificial intelligence plus machine learning (AI/ML).
Bitdeer AI’s training platform utilises a serverless GPU infrastructure that allows anyone to build, train, and fine-tune AI models. It further allows different teams within the same organisation to collaboratively build and develop AI models without the need to manage their own servers.
The launch of Bitdeer AI’s platform seeks to address key challenges such as:
- Development Costs: Optimising costs through a pay-as-you-go model, ensuring that organisations only pay for the resources they use, making AI development more cost-effective.
- Complex GPU Infrastructure Setups: Reducing the complexity and time required to develop and train ML models through a comprehensive integrated development environment for ML.
- Costly Build Errors: Ensuring consistency and reproducibility in the build environment, preventing unexpected errors when restarting CI/CD jobs or migrating from one platform to another, avoiding costly build errors in long-running ML jobs.
The company has also collaborated with an AI research team from the Singapore Management University (SMU) School of Computing and Information Systems to test, verify, and fine-tune the platform.
Bitdeer AI is also anticipating more collaborative efforts with NVIDIA to enhance its AI Training Platform through the NVIDIA AI Enterprise cloud services. Bitdeer Technologies Group had previously launched its cloud services to cater to the growing demands for AI computing power, and the collaboration will enable businesses to customise, test, and scale AI agents efficiently,
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