We migrate your AI
|
to a rented GPU server or set up your own for up to 80% cost savings
Cut AI costs by 60–80% without rewriting your product
💸 Cost & Scaling Constraints
  • Unpredictable pricing as usage grows
  • Rate limits that block growth
  • Margins shrink with every additional user
🔒 Security & Control & Compliance Risks
  • No control — data is sent to third-party services (Gemini, OpenAI)
  • Industry and vertical restrictions
  • Hard to ensure data security and regulatory compliance
⚙️ LLM Performance & Vendor Lock-in
  • 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
Audit your OpenAI or Gemini setup to uncover cost, latency, and scaling bottlenecks
Deploy OpenAI and Gemini-compatible open-source models on dedicated GPUs
Eliminate vendor lock-in and enable seamless GPU provider switching
Cut AI infrastructure costs by up to 2× and deliver ROI within the first month
Backed by 24/7 engineering support for uptime, performance, and predictable costs
A proprietary LLM for processing large volumes of data
Optimize GPU memory, throughput, and latency for production workloads
Migrate your AI API with zero code, prompt, or product changes
I replace your AI API with OpenAI and Gemini, or compatible open-source models running on rented GPU servers — your product remains the same.
Cloud for AI is ideal for such projects
  • Generative AI
    Apps for generating images, videos, texts, music etc., based on your own databases.
  • IoT & Telemetry
    With 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 support
    AI agents and chatbots, customer behavior prediction, automated responses on social media and in emails, call analyses etc.
  • Security solutions
    AI is engaged in face recognition and video surveillance. In cybersecurity, AI detects abnormalities, analyzes threats and responds to attacks in real time.
  • Personalized services
    Cloud for AI makes it easy to process large datasets and, based on their analysis, to create customized offers for your clients.
  • Analytics and forecasting
    Business intelligence, financial modeling, demand forecasting and risk management become faster and more precise in the AI-powered cloud.
Cost

About Me

I’m an AI / GPU DevOps engineer with 4+ years of hands-on experience in AI infrastructure and production systems.


I help startups and businesses reduce AI costs by up to 80%without performance loss and without rewriting their product.


This is achieved by deploying open-source AI models (including GPT-class models) on rented or dedicated GPU servers and seamlessly integrating them into existing applications.

The result: lower costs, full control over infrastructure, and production-grade reliability.


I focus on scalable architectures, cost-efficient GPU usage, and smooth migration from hosted AI APIs to your own AI stack.

My DevOps skills

API Integrations

Seamless integration and replacement of existing APIs

No product reworking

Infrastructure changes without modifying your product or logic

Support 24/7

24/7 infrastructure & AI support

Contacts

+380965343200

gpudevops@gmail.com

Your GPU AI / OpenAI/Gemini

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Success Stories

Meet our team
  • Alexandr Moskalenko
    AI/GPU DevOps
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