{"podcast":{"title":"Programming Tech Brief By HackerNoon","slug":"programming-tech-brief-by-hackernoon-6364125","podcast_index_feed_id":6364125,"rss_url":"https://feeds.transistor.fm/programming-tech-brief-by-hackernoon","website_url":"https://hackernoon.com/c/programming","image_url":"https://img.transistorcdn.com/AKbQjnYbCNDgF_frZ_Hpi8tkLS7aZezqecpWn6o-Rh8/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMTY2LzE2ODM1/ODIzMzAtYXJ0d29y/ay5qcGc.jpg","author":"HackerNoon","episode_count":100,"summary":"Learn the latest programming updates in the tech world.","last_synced_at":"2026-07-29T06:19:42.842448+00:00","page_url":"https://stenobird.com/podcast/programming-tech-brief-by-hackernoon-6364125"},"episode":{"title":"I Priced the Same Inference Workload on 4 GPU Clouds. Egress Was the Catch","slug":"i-priced-the-same-inference-workload-on-4-gpu-clouds-egress-was-the-catch","published_at":"2026-07-04T16:00:50+00:00","page_url":"https://stenobird.com/podcast/programming-tech-brief-by-hackernoon-6364125/i-priced-the-same-inference-workload-on-4-gpu-clouds-egress-was-the-catch","show_page_url":"https://stenobird.com/podcast/programming-tech-brief-by-hackernoon-6364125","url":"https://share.transistor.fm/s/96651962","audio_url":"https://media.transistor.fm/96651962/f07c64be.mp3","summary":"This story was originally published on HackerNoon at: https://hackernoon.com/i-priced-the-same-inference-workload-on-4-gpu-clouds-egress-was-the-catch . A reproducible 2026 cost model pricing one inference workload across six GPU clouds, and why egress, not GPU-hours, decides a third of the bill. Check more stories related to programming at: https://hackernoon.com/c/programming . You can also check exclusive content about #gpu , #ai-infrastructure , #cloud-computing , #llm-inference , #cloud-costs , #no-egress-fee-cloud , #mlops , #hackernoon-top-story , and more. This story was written by: @andreasusic . Learn more about this writer by checking @andreasusic's about page, and for more stories, please visit hackernoon.com . Most GPU cloud comparisons stop at dollars-per-GPU-hour, which is only half the bill. Pricing one identical inference workload (1 GPU, 24/7, 30 TB/month egress) across six clouds from their published rates shows egress quietly eating 22–31% of an AWS, Azure, or GCP bill, a line item that's $0 on providers that don't meter it. The real lesson: egress is an architecture decision, not a billing surprise, so model it before you commit.","meta_description":"This story was originally published on HackerNoon at: https://hackernoon.com/i-priced-the-same-inference-workload-on-4-gpu-clouds-egress-was-the-catch . A…","key_points":[],"chapters":[],"topics":[],"duration_seconds":942,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/programming-tech-brief-by-hackernoon-6364125/episodes/i-priced-the-same-inference-workload-on-4-gpu-clouds-egress-was-the-catch/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/programming-tech-brief-by-hackernoon-6364125/i-priced-the-same-inference-workload-on-4-gpu-clouds-egress-was-the-catch.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}