A Single Point of Failure, on Purpose: The 600 Dollar Transcoder

Sat, 02 May 2026 10:00:00 +0530

vast.ai had shown me exactly what GPU transcoding should cost — cents per video — and then, in the same fortnight, shown me exactly why I couldn’t yet lean the Happy Thoughts platform on it: instances vanished mid-encode, and “your video is ready” turned into a coin flip. I had a hard number for what the work was worth and a hard no on the way I’d been buying it. What I did next is the least fashionable decision in this entire series, and one of the ones I’m most sure about.

Renting Strangers' GPUs by the Minute: The vast.ai Experiment

Sat, 25 Apr 2026 10:00:00 +0530

The free-egress move had rescued the NGO’s unit economics and, in the same stroke, handed me back a problem I thought I’d permanently outsourced: transcoding. Wasabi wasn’t real AWS S3, so AWS MediaConvert couldn’t read from it, which meant I was back to encoding video myself with plain ffmpeg — on CPU boxes that could clear maybe 30 to 40 videos a day against an inbound firehose of 150-plus. I needed GPU-speed encoding. I owned zero GPUs. And I worked for an organization that had just spent a week panicking about a four-figure CDN bill, so “let me buy a rack of NVIDIA cards” was not a sentence I could say out loud in a budget meeting.

Gpu-Transcoding on Kuldeep Pisda

A Single Point of Failure, on Purpose: The 600 Dollar Transcoder

Renting Strangers' GPUs by the Minute: The vast.ai Experiment