- Unpredictable pricing as usage grows
- Rate limits that block growth
- Margins shrink with every additional user
- No control — data is sent to third-party services (Gemini, OpenAI)
- Industry and vertical restrictions
- Hard to ensure data security and regulatory compliance
- Dependent on third-party LLMs — cannot deploy your own
- Limits on speed and scaling for large data processing
- No model customization or cost optimization possible
Migrate from OpenAI / Gemini to open-source AI and pay 2× less
As you scale, closed AI APIs become cost, control, and growth bottlenecks
- Generative AIApps for generating images, videos, texts, music etc., based on your own databases.
- IoT & TelemetryWith AI, it is possible to perform an analysis of data from remote sensors and devices. It is especially used in agriculture, construction, logistics and healthcare.
- Customer supportAI agents and chatbots, customer behavior prediction, automated responses on social media and in emails, call analyses etc.
- Security solutionsAI is engaged in face recognition and video surveillance. In cybersecurity, AI detects abnormalities, analyzes threats and responds to attacks in real time.
- Personalized servicesCloud for AI makes it easy to process large datasets and, based on their analysis, to create customized offers for your clients.
- Analytics and forecastingBusiness intelligence, financial modeling, demand forecasting and risk management become faster and more precise in the AI-powered cloud.
- We deploy AI models on rented GPU servers and connect them to your product without rewriting any code.
- We build a turnkey server for AI integration with your product: API, security, scaling.
- We maintain and optimize existing AI models and servers: updates, monitoring, 24/7 support.
+380965343200
gpudevops@gmail.com
Your GPU AI / OpenAI/Gemini
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Success Stories
Reply (Jason AI)
Integration time: 1 week
Expenses before: $20,000
Expenses after: $8,000
AI model before: ChatGPT
AI model after: ChatGPT Oss
Dripify
Integration time: 2 weeks
Problem: High costs of LLM when working with large amounts of data
Solution: Deploying your own LLM reduces costs by up to 10x
AI model before: ChatGPT
AI model after: Qwen
Glass Health
Integration time: 3 weeks
Problem: Using cloud AI for medical data poses HIPAA/GDPR compliance risks and high costs
Solution: Deploying your own medical LLM keeps data private and reduces costs
AI model before: Gemini
AI model after: BioGPT / BioMedLM
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