Visual TL;DR
High AI inference costsDriver
businesses overpaying for AI inference by using powerful, expensive models for every task
Snowflake Cortex AICore
From the article 9 mentionsSnowflake is aiming to bring down the cost of running AI applications with new features in its Cortex AI platform.
Dynamic Model RoutingContext
matching required quality with the lowest appropriate cost for AI requests
From the article 5 mentionsThe company announced Dynamic Model Routing and an expanded catalog of open models, designed to ensure businesses aren't overpaying for AI inference by using the most powerful, expensive models for every single task.
Expanded Open ModelsContext
more open models in the catalog to provide diverse, cost-effective options
From the article 4 mentionsThe company announced Dynamic Model Routing and an expanded catalog of open models, designed to ensure businesses aren't overpaying for AI inference by using the most powerful, expensive models for every single task.
Smarter Model SelectionContext
not every request demands a top-tier model, optimizing computational power
From the articleThe combination of dynamic routing and a wider selection of open models promises compounding efficiency gains.
Cut AI CostsOutcome
businesses significantly reduce AI inference expenses for various tasks
From the article 4 mentionsSnowflake's approach, detailed on their engineering blog, focuses on 'intelligence efficiency', matching the required quality with the lowest appropriate cost.
Efficient AI ConsumptionEffect
From the article 2 mentionsThis move comes as AI investment accelerates but business value often lags, highlighting a need for more efficient AI consumption.
Increased Business ValueOutcome
helping business value catch up with accelerating AI investment
From the articleThis move comes as AI investment accelerates but business value often lags, highlighting a need for more efficient AI consumption.