You will get your custom LLM deployed on RunPod using Docker and vLLM
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Top Rated
Project details
With extensive experience in full-stack development and AI deployment, I specialize in building and deploying custom language models (LLMs) that are optimized for performance and scalability. In this project, I will dockerize your custom LLM and deploy it on RunPod using vLLM, ensuring that it runs efficiently in a containerized environment. This approach not only ensures portability but also enhances performance by taking full advantage of hardware acceleration and parallelism.
Your custom LLM will be built to handle large-scale workloads and high concurrency with minimal overhead. By utilizing Docker, the deployment process becomes more streamlined, reproducible, and scalable, making it easier to manage in both development and production environments.
You can expect:
• A fully containerized solution that will be easy to deploy and manage on RunPod.
• Optimized performance with vLLM to accelerate inference speeds.
• A robust, secure deployment ready for production use.
My approach emphasizes strong communication throughout the project to ensure your needs are met, and the deployment process is smooth.
Your custom LLM will be built to handle large-scale workloads and high concurrency with minimal overhead. By utilizing Docker, the deployment process becomes more streamlined, reproducible, and scalable, making it easier to manage in both development and production environments.
You can expect:
• A fully containerized solution that will be easy to deploy and manage on RunPod.
• Optimized performance with vLLM to accelerate inference speeds.
• A robust, secure deployment ready for production use.
My approach emphasizes strong communication throughout the project to ensure your needs are met, and the deployment process is smooth.
AI Development Type
Model Tuning, Recommendation SystemAI Tools
Amazon SageMaker, deeplearn.js, Keras, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$250
|
Standard
$400
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 5 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | |
Model Documentation | |||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$100
Add Gradio/Streamlit UI for quick demo
(+ 1 Day)
+$75
Integrate LangChain for chatbot/agent use
(+ 2 Days)
+$200
Embedding model deployment (e.g., BGE/Instruct)
(+ 1 Day)
+$100Frequently asked questions
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Harasis did a marvelous job. This is the second time I’ve engaged him. He is responsive, personable, timely, knowledgeable, and very competent with his work on my websites. I would (will) hire him again for future work!
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Harasis is the greatest specialist I met and a good person as well. I highly recommend him for your projects.
About Harasis
Full Stack Developer| AI Automation & Custom SaaS (Python, React, API)
100%
Job Success
Bakersfield, United States - 10:28 am local time
I work across the entire development lifecycle—from planning architecture and building intuitive frontends to developing secure backends, APIs, and deploying production-ready applications.
My core technologies include:
• Python (FastAPI, Django)
• JavaScript/TypeScript
• React, Next.js
• Node.js, Express
• PostgreSQL, MySQL, MongoDB
• AWS, Docker, Cloudflare, Git
• OpenAI, Twilio, Stripe, Mapbox, and other third-party API integrations
I've built:
✅ AI-powered workflow automation platforms
✅ Custom CRM and ERP systems
✅ Multi-vendor marketplaces and SaaS applications
✅ Admin dashboards and business management portals
✅ AI chatbots and voice automation solutions
✅ REST APIs and complex third-party integrations
✅ Internal tools that automate repetitive business processes
I focus on writing clean, maintainable, and scalable code while keeping communication transparent throughout the project. Whether it's building a product from scratch, modernizing an existing application, or integrating AI into your workflow, I deliver solutions that are reliable, efficient, and built for long-term growth.
If you're looking for a developer who understands both the technical side and the business goals behind a product, let's connect.
Steps for completing your project
After purchasing the project, send requirements so Harasis can start the project.
Delivery time starts when Harasis receives requirements from you.
Harasis works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Setup and Assessment
Review the provided materials, such as the GitHub repository and documentation, to understand the scope and current status of the project.
Dockerization and Environment Setup
Create a Dockerfile to containerize the application, ensuring it can be run in isolated environments. Set up necessary Docker Compose configurations if required.