Machine Learning
GPU-Powered Infrastructure for ML Workloads
Accelerate Your Machine Learning Projects
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Cloud Acropolis has equipped itself with GPU devices enabling our customers to benefit from graphical processor units on our very low latency 10 GBPS and 100 GBPS network.
Machine Learning Capabilities
TensorFlow Ready
Use your own applications such as TensorFlow, PyTorch, or other ML frameworks to perform the needed machine learning for your applications.
Model Training
Train complex neural networks and deep learning models with high-performance GPU clusters designed for intensive compute tasks.
Real-Time Inference
Deploy trained models for real-time inference with low latency network connectivity ensuring fast response times.
Data Processing
Process large datasets efficiently with enterprise-grade storage and high-speed network connectivity.
Scalable Resources
Scale your ML workloads on demand with flexible GPU configurations and resource allocation.
Flexible Billing
Pay only for what you use with hourly, monthly, and yearly billing options to fit your project needs.
Machine Learning Use Cases
Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. Our GPU infrastructure supports a wide range of ML applications.
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Natural Language Processing (NLP)
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Computer Vision & Image Recognition
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Predictive Analytics & Forecasting
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Large Language Models (LLMs)
Enterprise-Grade Data Center
High Efficiency & Performance
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Rating 4 facility based on TIA 942
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Fully redundant components
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Cold aisle containment
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CRAC unit cooling systems
Maximum Physical Security
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24/7 CCTV surveillance
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Guarded security staff
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Biometric access control
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ISO27001 certified
Fully Redundant Infrastructure
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Dual power sources
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4x redundant UPS systems
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N+1 cooling systems
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Redundant network
Ready to Start Your ML Project?
Configure your cloud server and the number of GPUs needed. Billing available hourly, monthly, and yearly.