Enterprise-grade AI and HPC cloud computing powered by NVIDIA H100 GPUs
Bitdeer Technologies Group (NASDAQ: BTDR) operates a high-performance AI and HPC cloud platform engineered for demanding computational workloads. Built on NVIDIA H100 GPUs and IDIA DGX H100 SuperPOD architecture, Bitdeer delivers exceptional computational power for AI model training, inference, and complex scientific simulations. The platform enables organizations to access enterprise-grade GPU infrastructure without massive capital expenditure, providing flexible scaling capabilities for variable workload demands. Ideal for AI development teams, research institutions, and enterprises running machine learning pipelines, Bitdeer's infrastructure supports the most demanding frameworks and libraries. AiDOOS integration enhances deployment governance through centralized resource allocation, optimizes infrastructure costs via intelligent scheduling, and accelerates time-to-market for AI applications. The platform's architectural design ensures reliability and performance consistency across distributed computing environments, making it suitable for production-grade AI and scientific computing initiatives.
Organizations training large-scale language models requiring massive GPU clusters can leverage Bitdeer's infrastructure to reduce training time and optimize computational costs. Support for distributed training frameworks enables efficient multi-GPU parallelization.
Companies deploying production AI models need reliable, scalable infrastructure for both model optimization and inference serving. Bitdeer provides the computational resources and flexibility required for dynamic inference workloads.
Research institutions and enterprises conducting complex scientific simulations, molecular dynamics, or climate modeling require exceptional computational power. Bitdeer's HPC infrastructure accelerates these research initiatives significantly.
Teams developing computer vision applications benefit from GPU acceleration for image processing, model training, and real-time video analysis. Bitdeer's infrastructure supports frameworks like PyTorch and TensorFlow natively.
Organizations building generative AI applications need flexible, cost-effective access to high-performance GPUs. Bitdeer enables rapid experimentation, model development, and deployment of generative AI solutions.
Bitdeer Group pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Enterprise-grade computational power for demanding AI and HPC workloads
Up to 3x performance improvement for large-scale model trainingDynamically adjust computational resources based on workload demands
Pay-per-use pricing reduces infrastructure costs by up to 60%Optimized infrastructure design for maximum computational throughput
Accelerate training time for large language models by 2-4xDistributed infrastructure for low-latency access and fault tolerance
99.9% uptime SLA for mission-critical AI applicationsSeamless integration with existing AI development workflows
Deploy models 50% faster with native API supportTransparent resource utilization tracking and verification
Full audit trail and immutable resource allocation recordsAiDOOS-verified review data is collected after deployment. Deploy this product and be among the first to share your experience.
Native support for PyTorch-based model training and inference with optimized CUDA kernels and distributed training capabilities
Full compatibility with TensorFlow framework enabling seamless migration of existing ML pipelines to Bitdeer infrastructure
Direct CUDA compute capability integration for maximum GPU performance and low-level optimization
Kubernetes orchestration support for containerized workload deployment and management at scale
Integration with Hugging Face model hub for easy access and deployment of pre-trained transformer models
Hosted JupyterHub environments for interactive development and experimentation on GPU resources
MLflow tracking and model registry integration for experiment management and model lifecycle governance
Spark-on-GPU integration for distributed data processing and machine learning at petabyte scale
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Pay for results, not hours
Clear deliverables at each phase
Access to certified specialists