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AI Computing

Bitdeer Group

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

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Category
Software
Ideal For
AI/ML Teams
Deployment
Cloud
Integrations
None+ Apps
Security
Enterprise-grade security, data isolation, compliance-ready infrastructure
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

Proven Results

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

Key Features

Core capabilities at a glance

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

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Real-World Use Cases

See how organizations drive results

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%

Integrations

Seamlessly connect with your tech ecosystem

P

PyTorch

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Native support for PyTorch-based model training and inference with optimized CUDA kernels and distributed training capabilities

T

TensorFlow

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Full compatibility with TensorFlow framework enabling seamless migration of existing ML pipelines to Bitdeer infrastructure

N

NVIDIA CUDA

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Direct CUDA compute capability integration for maximum GPU performance and low-level optimization

K

Kubernetes

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Kubernetes orchestration support for containerized workload deployment and management at scale

H

Hugging Face

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Integration with Hugging Face model hub for easy access and deployment of pre-trained transformer models

J

JupyterHub

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Hosted JupyterHub environments for interactive development and experimentation on GPU resources

M

MLflow

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MLflow tracking and model registry integration for experiment management and model lifecycle governance

A

Apache Spark

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Spark-on-GPU integration for distributed data processing and machine learning at petabyte scale

Implementation with AiDOOS

Outcome-based delivery with expert support

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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Alternatives & Comparisons

Find the right fit for your needs

Capability Bitdeer Group SmartAction QuantumSync GMS
Customization Good Excellent Excellent Excellent
Ease of Use Good Good Good Good
Enterprise Features Excellent Excellent Excellent Excellent
Pricing Good Good Fair Fair
Integration Ecosystem Excellent Excellent Excellent Excellent
Mobile Experience Fair Good Good Good
AI & Analytics Excellent Excellent Excellent Excellent
Quick Setup Good Good Good Good

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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.