Our agency will set up your ml infrastructure, mlops pipeline, and GPU deployment


Level 2
Agency
Vetted by Fiverr Pro
Prilient Tech was selected by the Fiverr Pro team for their expertise.
About this gig
Your ML model is only as good as the infrastructure running it. I build production MLOps pipelines that take your models from Jupyter notebooks to scalable, monitored, auto-scaling deployments.
What I Deliver:
ML model deployment (REST API, gRPC, batch inference), GPU/CPU infrastructure setup (AWS SageMaker, GCP Vertex AI, self-hosted), model serving (TensorFlow Serving, TorchServe, Triton, vLLM, Ollama), MLOps pipeline (MLflow, Kubeflow, DVC), training pipeline automation, model versioning and experiment tracking, A/B testing and canary deployments for models, auto-scaling inference endpoints, cost optimization for GPU workloads, and LLM deployment (self-hosted Llama, Mistral, fine-tuned models).
Why My Agency:
We sit at the intersection of DevOps and AI a rare combination. Most ML engineers can train models but struggle with production deployment. Most DevOps engineers can deploy apps but don't understand ML-specific challenges like GPU scheduling, model versioning, and inference optimization. We bridge both worlds.
About this agency

Agency
40 employees
Level 2
Prilient Tech is part of the Fiverr Pro catalog and has been hand-picked by a dedicated Fiverr Pro team for their skills and expertise.
Vetted for
DevOps Engineering
Support & IT
- FromIndia
- Member sinceApr 2020
- Avg. response time4 hours
- Last delivery2 months
Languages
English
Portfolio
Other AI Development Services we Offer
FAQ
Can you deploy my fine-tuned LLM?
Yes. We deploy any Hugging Face compatible model using vLLM, TGI, or Ollama on GPU infrastructure. This includes Llama 3, Mistral, Phi, and your custom fine-tuned models.
How much does GPU infrastructure cost?
A single A10G on AWS costs about $0.75/hr on-demand or $0.30/hr with spot. We optimize your setup with auto-scaling to zero when idle, potentially saving 60-80% on GPU costs.
Do you set up the training pipeline too?
Yes. Standard and premium packages include automated training pipelines with experiment tracking (MLflow), data versioning (DVC), and automated retraining triggers.
Can you integrate the model with my application?
Absolutely. We provide a REST/gRPC API endpoint that your application calls. We also handle load balancing and failover for high-availability inference.

