AI infrastructure setup and deployment services
Develop a reliable AI infrastructure designed for seamless integration into your operations.
Why choose DevicoAI for AI infrastructure setup and deployment
High retention rate
96%
Our dedicated team ensures consistent support and expertise, significantly above the industry average of 80%.
Wide expert network
3000
Access to over 3000 engineers and AI experts.
Proven track record
500,000
Over 500,000 man-days successfully delivered.
Support
24/7
Highly experienced management team available around the clock.
Problems AI infrastructure setup and deployment services can solve
01
Undefined requirements
Many organisations start without a clear understanding of what their AI infrastructure needs to achieve, leading to inefficient designs.
Solution: DevicoAI conducts a comprehensive assessment to clarify current and future requirements, setting a clear direction for infrastructure design.
02
Fragmented systems
Disparate tools and systems can create bottlenecks and inefficiencies, slowing down AI workflows.
Solution: We design unified architectures that consolidate systems, enabling seamless data flow and operational efficiency.
03
Underperforming infrastructure
Poorly optimised systems struggle to handle the demands of modern AI workloads, leading to slow performance and bottlenecks.
Solution: DevicoAI fine-tunes components for peak performance, ensuring systems run reliably even under high demand.
04
Lack of scalability
Static designs fail to adapt as business needs evolve, requiring costly overhauls.
Solution: We develop scalable architectures that dynamically adjust to changing workloads, reducing the need for major redesigns.
05
Operational inefficiencies
Managing and maintaining infrastructure without proper tools or workflows increases downtime and costs.
Solution: DevicoAI provides ongoing monitoring and management frameworks that streamline operations and minimise disruptions.
Unleash peak AI performance
Enhance the stability of your AI ecosystem with reliable infrastructure setup and deployment
AI infrastructure setup and
deployment for industries
Healthcare
Centralised data pipelines form the backbone of AI infrastructure in healthcare, enabling hospitals to process patient records, medical imaging, and real-time monitoring data efficiently.
Use cases:
- Processing medical imaging for faster anomaly detection
- Predicting patient admissions and resource needs
- Real-time monitoring for critical care alerts
Centralised data pipelines form the backbone of AI infrastructure in healthcare, enabling hospitals to process patient records, medical imaging, and real-time monitoring data efficiently.
Use cases:
- Processing medical imaging for faster anomaly detection
- Predicting patient admissions and resource needs
- Real-time monitoring for critical care alerts
High-performance computing clusters and secure transaction monitoring systems are critical components of AI infrastructure in the financial sector.
Use cases:
- Fraud detection in real-time transactions
- Dynamic credit scoring for risk assessments
- High-frequency trading powered by AI models
AI infrastructure in retail relies on scalable data warehouses and integrated customer behaviour analytics platforms.
Use cases:
- Personalising shopping experiences with recommendation engines
- Predicting inventory needs based on market trends
- Dynamic pricing adjustments based on real-time demand
IoT-enabled data collection platforms and real-time processing nodes are key to AI infrastructure in manufacturing.
Use cases:
- Predictive maintenance for machinery based on sensor data
- Automated issue detection to reduce production downtime
- Workflow optimisation for better resource allocation
AI infrastructure setup and
deployment process
Assessment of requirements
Evaluate your current infrastructure, AI workloads, and future growth projections. This involves identifying bottlenecks, defining system requirements, and setting scalability goals.
Architectural design
Create a tailored design that includes compute resources, storage solutions, and data pipelines. Focus is placed on balancing performance, scalability, and cost-effectiveness.
System implementation
Build and configure infrastructure components, integrating them seamlessly with existing systems. This includes deploying virtualised environments, containerisation, and cloud or on-premises configurations as needed.
Performance optimisation
Optimise resource allocation, storage efficiency, and data pipelines to maximise performance under varying workloads. This includes workload automation and advanced scheduling.
Integration and testing
Validate infrastructure components for compatibility, resilience, and scalability. Conduct thorough testing to confirm operational readiness.
Ongoing support and monitoring
Deploy monitoring tools to track performance, detect anomalies, and support proactive management. Regular reviews help refine operations and adapt systems to evolving demands.
Don't let uncertainty define your story
Get secure and reliable AI infrastructure setup with high-performance computing capabilities
Benefits of AI infrastructure setup and deployment
Technologies for AI infrastructure setup and deployment
Microsoft Azure
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Azure machine learning: Comprehensive service for building and deploying machine learning models.
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Cognitive Services: Suite of pre-built AI services including vision, speech, language, and decision-making.
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Azure Bot Service: Platform for building and deploying chatbots.
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Azure OpenAI Service: Access to OpenAI's powerful language models.
Get in touch
Drop us a line about your project and we will contact you within a business day
Our locations
New York
521 Fifth Ave, NY 10175
+1 805 491 9331London
9 Brighton Terrace, SW9 8DJ
+44 1922 214429Warsaw
Towarowa 28, 00-847
info@devico.ioLviv
Uhorska str. 14, 79034
info@devico.ioQuestions & answers
Why should I choose DevicoAI for AI infrastructure services over other companies?
DevicoAI combines technical expertise with a practical approach to create infrastructure that delivers performance, scalability, and value.
What factors influence the cost of your AI infrastructure services?
Costs depend on the scale and complexity of the project, as well as specific business needs and integration requirements.
Can we get cost estimates for specific workloads?
Yes, we provide tailored cost analyses based on your unique workloads and requirements.