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Open-weight LLMs in production: quantization, batching, failover
The infrastructure story behind FerretOut: what it actually takes to run open-weight models (27B-class) in production on rented GPUs. Quantization trade-offs measured against honest evals, batch scheduling that keeps the GPU saturated without starving interactive calls, and tunnel/failover plumbing so a single dead box never takes the product down.
The differentiator this unlocks: private inference on dedicated hardware — for HIPAA or data-residency-sensitive builds, your data never has to leave machines you control.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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