Domesticating AI
SoyPete TechDomesticating AI is a bi-weekly podcast about practical AI for developers. We cover self-hosted models, local AI, homelabs, hardware, agents, security, and reliability so software engineers can build - Miriah Peterson: Software engineer, Go educator, and community builder focused on *production-first* AI. Runs SoyPete Tech (streams + writing + open-source). - Matt Sharp: AI Engineer/Strategist, co... more
| Publishes | Twice monthly | Episodes | 5 | Founded | 2 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Latest Episodes
Recording Date: February 27, 2026
Hosts: Miriah Peterson, Matt Sharp, Chris Brousseau
Running AI locally is easier than ever.
Running it securely is another story.
In this episode of Domesticating AI, we break down the moment every homelab builder ... more
📅 Recorded: February 6, 2026
In this episode of Domesticating AI, we discuss why scaling AI systems with more compute often hides weak engineering decisions — especially in agent workflows. We explore constrained hardware, context management, tool ... more
Episode 3 is a hardware-first guide to running AI at home. We break down what CPUs vs GPUs vs NPUs vs TPUs actually do in the inference pipeline, why memory capacity isn’t the same as performance (model loading, KV cache, and MoE), why backends/runti... more
Everyone keeps calling NVIDIA DGX Spark an “inference box”… but in practice it behaves more like a dev rig.
In Ep 2 of Domesticating AI, we break down what Spark is actually good for (AI development + fine-tuning) vs what it isn’t (a magical drop-in... more
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #129 |  South Korea/Technology |
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
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| Interests | Professions | Age Range | |||
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Domesticating AI launched 2 months ago and published 5 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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