Your AI model running on managed GPUs
I'm a builder. I've been consulting for 26+ years, and I'll still be here tomorrow when you need me.
Renting a GPU is easy. Running one without burning money is not. Machines sit idle at full price, cold starts time out, jobs fail halfway and nobody notices, and the bill arrives before the revenue does.
I've run 20,000+ GPU hours on NVIDIA A100s over my career, trained 320,000+ DreamBooth models and 180,000+ Flux LoRAs, and delivered 1+ billion AI images. I deploy on RunPod by default, in an account you own, so you pay the GPU provider directly and can see every charge.
You get a model that answers when called, shuts off when idle, and a real cost per request before you build a product on it.
Optional add-on, any tier: Managed GPUs, $299 per month. I keep the endpoints running, update models, watch the spend and fix failures. Cancel anytime.
Pick a tier
- 1 model (image, video, voice or LLM) deployed on a cloud GPU as a private API endpoint, with a test script and the cost per request
- A serverless GPU endpoint that scales to zero when idle and scales up under load, with a job queue, results stored on Cloudflare R2, and retry on failure
- A full GPU setup: several models or a training plus generation pipeline, a monthly spending cap, failure alerts, cost tracking per job, and a written run-book
What I need from you
- The model or task
- Expected requests per day
- Monthly GPU budget
- A RunPod account you own with a team invite sent
What working with me looks like
- One person owns the whole job: architecture, code, payments, launch and support. No handoffs.
- Everything happens in writing: a clear brief up front, written progress updates, and a written explanation of what changed and why.
- Fixed prices per tier. You know the cost before work starts.
- I work on your code, not your data.
Results at scale
- 1+ billion AI images delivered, all served from Cloudflare R2
- 320,000+ fine-tuned DreamBooth models
- 180,000+ Flux LoRAs
- 85+ million Stable Diffusion / Flux images
- 300+ million AI operations (face swap, upscaling, tagging), career total
- 20,000+ GPU hours on NVIDIA A100s, career total
- 160+ million social media users reached
- 120+ million game players reached; 10+ million Android game downloads
- 4+ million developers reached (Embarcadero Dev-C++)
- 200,000+ automated social media posts
- 2,000+ Suno AI songs
- 2,000+ blog posts orchestrated (65+ contractors); 800+ written
- Top Rated Plus, 100% Job Success on Upwork