Secured dockers (4+) to share 1 GPU.
700 USDHi. We are looking for someone to propose the best architecture to connect multiple private docker images to a single GPU like the RTX A6000 or an L40 including adding a proxy to connect to any AI privately.
We want our team of 4 to 6 users to have individual docker images of our microservice connected to a shared GPU that can be accessed by user name and password. Thanks. JC.
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Winning proposal8 days700 USDWinning proposal8 days700 USD
Hi JC,
This is a classic MLOps challenge, and your goal to securely share a high-end GPU among your team is the right approach. As a Full-Stack Developer with deep experience in Docker and cloud architecture, I can design a robust and secure system for you.
Simply connecting containers to a GPU is not enough; you need a managed, secure, and isolated environment. Here is the professional architecture I propose:
1. True GPU Isolation with NVIDIA MIG: For the A6000/L40 cards, we will use NVIDIA Multi-Instance GPU (MIG). This partitions the GPU at the hardware level, giving each user a dedicated slice of compute and memory. This is superior to basic time-slicing as it prevents any single user's workload from impacting the performance of others.
2. Centralized Authentication via Traefik Reverse Proxy: I recommend Traefik, a modern reverse proxy that integrates seamlessly with Docker. It will act as the single, secure entry point.
…
Function: All user requests will first hit Traefik.
Security: Traefik will enforce user/password authentication before forwarding any request to the user's private container, ensuring only authorized team members can access their environment.
3. Secure AI Gateway Service: To protect your AI API keys, we will implement a dedicated "AI Gateway" microservice.
Workflow: Your team's microservices will make their AI calls to this internal gateway—they will never hold the AI keys themselves.
Benefit: This gateway is the only component that communicates with external AI services (like OpenAI). This centralizes key management, enhances security, and simplifies monitoring.
Deliverable:
For this project, I will provide you with a comprehensive architectural document. This will include:
A detailed diagram of the entire system.
Justification for each technology choice.
A sample docker-compose.yml file demonstrating how all services (Traefik, AI Gateway, and user containers) are defined and linked together.
My price for delivering this complete architectural plan is $450, and I can have it ready for you in 3 days.
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2 days180 USD
1405 14 3 1 2 days180 USDHi JC, this is an interesting challenge, and I'd be happy to help.
I can propose a clean and scalable architecture where each of your 4–6 users runs their own isolated Docker microservice container, all sharing access to a single powerful GPU (like the RTX A6000 or L40).
The architecture will include:
Secure GPU sharing (NVIDIA Container Toolkit + MIG if needed)
Authenticated access per user (via proxy + username/password)
… Central proxy to control access to external AI services (ensuring privacy)
Optional VPN layer for secure internal access
I’d be happy to provide you with a full diagram and Docker setup within a day, with deployment instructions and extensibility in mind. Let’s discuss details like the AI APIs you want to reach and your preferred infrastructure (bare metal or cloud).
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10 days1000 USD
9351 20 0 1 10 days1000 USDВітаю
Маю досвід з:
- NVIDIA MIG конфігурацією
- Docker GPU sharing
- NGINX proxy setup
- Authentication системами
Можу запропонувати архітектуру на базі:
- MIG партиціонування GPU
… - Docker Compose з GPU device mapping
- NGINX reverse proxy з auth
- JupyterHub для user management
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8 days1300 USD
99 8 days1300 USDHello!
This setup needs careful handling, but I can take care of it. Each user will have a private container. All containers will share one GPU without conflict. I can set up secure login so only your team can access it. AI traffic will be sent using a single protected connection to keep your keys safe.
It is a complex task, but I have some experience with similar systems before. Once it's ready, it will run smoothly without much effort from your side.
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