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Bitdeer Group

Enterprise-grade AI and HPC cloud computing powered by NVIDIA H100 GPUs

Data Science and Machine Learning Platforms
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Software
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Cloud
API Access
Yes - RESTful API for resource provisioning and management

About Bitdeer Group

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.

Challenges It Solves

  • Limited access to enterprise-grade GPU infrastructure without prohibitive capital costs
  • Difficulty scaling AI and HPC workloads to meet variable computational demands
  • Complex resource management and utilization optimization across distributed systems
  • Need for reliable, high-performance infrastructure for production AI applications
  • Challenges in maintaining computational efficiency and cost-effectiveness at scale
87
Reduction in infrastructure capital expenditure vs on-premise GPU clusters
72
Improvement in workload deployment speed and resource provisioning time
65
Enhanced computational efficiency and GPU utilization optimization

Use Cases

Large Language Model Training

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.

80% Reduce LLM training time from weeks to days

AI Model Fine-Tuning and Inference

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.

75% Achieve sub-100ms latency for real-time AI inference

Scientific Computing and Simulations

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.

68% Complete complex simulations 3-4x faster than traditional compute

Computer Vision and Image Processing

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.

72% Process millions of images daily with sub-second latency

Generative AI Application Development

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.

78% Reduce time-to-market for generative AI products by 45%

Pricing

Pricing available on request

Bitdeer Group pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.

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Key Features

NVIDIA H100 GPU Infrastructure

Enterprise-grade computational power for demanding AI and HPC workloads

Up to 3x performance improvement for large-scale model training

Flexible Resource Scaling

Dynamically adjust computational resources based on workload demands

Pay-per-use pricing reduces infrastructure costs by up to 60%

IDIA DGX H100 SuperPOD Architecture

Optimized infrastructure design for maximum computational throughput

Accelerate training time for large language models by 2-4x

Global Data Center Network

Distributed infrastructure for low-latency access and fault tolerance

99.9% uptime SLA for mission-critical AI applications

API-First Platform

Seamless integration with existing AI development workflows

Deploy models 50% faster with native API support

Blockchain Integration

Transparent resource utilization tracking and verification

Full audit trail and immutable resource allocation records

Reviews

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Enterprise Readiness

Data Isolation and Encryption
Access Control and Authentication
Compliance and Audit Logging
Network Security
Blockchain Verification

Integrations

8 total apps

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 Managed Deployment

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Prerequisites

Configuration Options

Virtual Delivery Center · A new delivery category

A Virtual Delivery Center for Bitdeer Group

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.

  • Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
  • Refundable on unused Delivery Units, anytime — no questions asked
  • Re-delivery guarantee on acceptance miss
  • Pre-flight delivery sizing — you see the plan before you commit

How a Virtual Delivery Center delivers Bitdeer Group

Outcome-based delivery via AiDOOS’s VDC model.  Why VDC vs traditional consulting? →

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning
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Frequently Asked Questions

What GPU types are available on the Bitdeer platform?
Bitdeer primarily offers NVIDIA H100 GPUs integrated within IDIA DGX H100 SuperPOD architecture, providing state-of-the-art computational power for AI and HPC workloads. Additional GPU options may be available for different use cases.
How does Bitdeer pricing compare to building on-premise GPU infrastructure?
Bitdeer's pay-per-use subscription model eliminates massive capital expenditures for GPU clusters. Organizations typically achieve 60-70% cost savings compared to on-premise infrastructure when accounting for hardware, maintenance, cooling, and facility costs.
Can I integrate Bitdeer with my existing ML frameworks and tools?
Yes, Bitdeer natively supports PyTorch, TensorFlow, CUDA, Kubernetes, and other industry-standard ML frameworks. The platform provides APIs and integrations with Hugging Face, MLflow, and Jupyter environments for seamless workflow integration.
What SLAs and uptime guarantees does Bitdeer provide?
Bitdeer offers 99.9% uptime SLA for production workloads backed by a global data center network. Enterprise customers receive dedicated support and customized SLAs based on their requirements.
How does AiDOOS enhance my experience with Bitdeer infrastructure?
AiDOOS provides centralized governance for Bitdeer resource allocation, intelligent cost optimization through workload scheduling, and unified integration management across your AI development environment. This accelerates deployment cycles and improves infrastructure ROI.
Is multi-region failover and disaster recovery available?
Bitdeer's distributed global data center network supports multi-region deployment and failover capabilities. Contact the sales team to enable disaster recovery features for your production workloads.

Quick Stats

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Vendor

Customer Success Stories

Real results from enterprises deployed through AiDOOS

Global AI Research Institute
"Bitdeer's infrastructure enabled us to train our largest language model 3x faster than on-premise hardware while reducing capital costs by 70%. The platform's reliability and performance consistency have been exceptional for production workloads."
— Dr. Sarah Chen, Director of ML Research
Enterprise AI Solutions Provider
"Switching to Bitdeer allowed our team to scale AI development without massive infrastructure investments. We deployed five new generative AI products in half the time previously required."
— Michael Rodriguez, VP of Engineering
Computational Science Laboratory
"The IDIA DGX H100 SuperPOD architecture provides the computational horsepower needed for our molecular dynamics simulations. Support from the Bitdeer team has been outstanding."
— Prof. James Kumar, Principal Investigator

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