Score Your Model Access Decision Before You Argue

Every week, a new team stumbles upon realizing that their AI model feature expenses exceed the rest of their infrastructure combined. Two factions emerge regarding how to tackle this issue. One camp advocates for utilizing hosted APIs as the sole viable option. The other faction advocates for self-hosting everything and completely circumventing the meter.

Neither faction can definitively determine which team they belong to. The remedy, however, lies in ceasing the debate and instead focusing on scoring. This article presents two essential components to assist you in doing so. First, it provides a functional decision matrix that evaluates your constraints against three alternatives: a hosted free tier, a self-hosted model, and a paid API.

Second, it offers a 30-minute diagnostic test to gauge the practicality of your decision before making any commitments. Together, these tools transform a contentious debate into a structured spreadsheet.

Consider model access akin to selecting your daily commute. A cost-free bus pass entails no financial burden until the bus stops running at 2 a.m. Conversely, purchasing a car entails a significant upfront investment but enables you to travel to your desired destination at your preferred time. Neither choice is inherently superior; the mistake lies in making a decision without fully comprehending your journey.

Five pivotal factors come into play. How stringent is your budget? Can your workload accommodate cold starts or queueing? Will your prompts remain within your infrastructure? Who will manage a server during late-night hours? Lastly, does your traffic exhibit a continuous flow or sporadic spikes? All other considerations are deemed irrelevant.

Here is the accompanying script. When executed, it poses five questions, assigns numerical scores to each option based on your responses, and ranks the options according to their suitability. A lower score signifies a better fit. Save this script as "score_model_access.py" and run it using the command "python score_model_access.py".

Once executed, it will prompt you to provide answers to the five criteria. After inputting your responses, the script will calculate the overall distance between your requirements and each option's profile. The options will then be sorted based on their respective scores, with the option possessing the lowest score deemed the optimal choice.