# Autonomous Agents for Snowflake Cost Optimization: Announcing Altimate Lite ## **TL;DR: it saves you money on Snowflake** [Altimate Lite is a Snowflake native app](https://app.snowflake.com/marketplace/listing/GZTYZ1VSPRPWK/altimate-ai-altimate-lite-for-ai-and-warehouse-cost-optimization) that automatically tunes warehouse configuration (auto-suspend, scaling, clustering) roughly every 5-6 seconds to cut compute costs, with no performance impact. Private preview customers saved an average of 19% on warehouse costs, with some seeing savings as high as 57.5%. As a Snowflake native app, it’s easy to adopt, secure, and can be paid with Snowflake credits. It's free for 30-days, then just $100/month plus 2.5% of the daily cost of any warehouse you activate it on. [Find it in the Snowflake Marketplace](https://app.snowflake.com/marketplace/listing/GZTYZ1VSPRPWK/altimate-ai-altimate-lite-for-ai-and-warehouse-cost-optimization) today. ## Watch the Launch video %[https://www.youtube.com/watch?v=pPDlkjMCSJY] ## How AI costs get out of hand on Snowflake If you think your Snowflake instance is costing more than it should, you are not alone. There are several factors that drive this: First, a common pattern keeps showing up across Snowflake teams that adopt AI: everything starts to look like an AI problem. Teams transition away from cheap deterministic tooling and start to adopt inference-based solutions across the board. This gets expensive. Then there is the "Maximilian Fable" persona: always reaching for the newest, most expensive reasoning model. Tasks that a lightweight model like Anthropic’s Haiku would handle just fine often get clobbered with one of the most expensive models like Fable. Snowflake offers some tooling for tuning your instance, but the process is manual and the audits too far apart to get good results. Snowflake users overspend as a result. Finally there's cost visibility. Most teams just get a bill at the end of the month, a token count with no breakdown of what drove it. It’s a single total, no itemization, and no way to explain to finOps why this week's number is double last week's. These costs really add up. There's now a well-known case of a company running up a [$500 million AI bill](https://finance.yahoo.com/sectors/technology/articles/company-blew-500m-claude-ai-173519468.html) in a single month because no check was in place and nobody saw it coming. The fix starts with tracking and visibility: who's consuming AI credits, whether usage is concentrated in a handful of users, and which models and services are actually driving spend. ## Continuous Auto-Tuning: The Other Lever for Cutting Snowflake Warehouse Costs Cost isn't just an AI-model problem. It's also a Snowflake warehouse configuration problem. Snowflake exposes a handful of levers: warehouse size, warehouse type (Gen 1, Gen 2, adaptive), auto-suspend timing, multi-cluster scaling, and max concurrency level. Getting these right, and keeping them right as workloads shift, is normally a manual, periodic exercise: someone looks at usage patterns, makes a best guess, and revisits it weekly or monthly. What if software made these decisions *continuously* instead? Not daily reconfiguration but adjusting configuration **every five to six seconds**, a frequency no human team could sustain. ![An Agent Decisions chart showing the daily number of auto-tune configuration changes made over a one-month period.](https://cdn.hashnode.com/uploads/covers/6961decc69c600e13d6a9156/ee6e31b3-925b-446e-a1b0-829e6d2604ee.png align="center") By comparison, Snowflake's own auto-suspend only probes warehouse activity every 30 seconds; in that same window, Altimate's auto-tune has already run roughly ten checks, looking at idle state, workload shifts, and predicted upcoming load. ## Real World Results: Up to 57.5% in Snowflake Warehouse Savings Over the last couple of months during private preview, real Altimate Lite customers saw meaningful savings simply by turning on auto-tune, with no degradation in query performance or queue times: * Lowest savings observed on any warehouse, any day: **12.4%** * Average savings across all customers, warehouses, and days: **19%** * Highest single-day savings (typically weekends, when workloads are less consistent): **57.5%** ## Inside Altimate Lite: Cost Dashboard, Auto-Tune, and AI Cost Observability Altimate Lite is a distilled version of [Altimate's enterprise platform](https://altimate.ai/platform) that runs natively on Snowflake. Is was trained on billions of config changes from years of production use. Because it runs entirely inside your Snowflake environment, no data leaves your account, which sidesteps the InfoSec review that a SaaS tool would typically require. [In the demo](https://www.youtube.com/watch?v=pPDlkjMCSJY), Pradnesh walked through the core screens: * **Cost dashboard**: trending costs, potential annual savings, and how many warehouses are auto-tune eligible vs. already enabled. ![Altimate Lite warehouse detail page for a dbt pipeline warehouse showing Auto Tune enabled, realized savings of $351, and projected annual savings of $4,269.](https://cdn.hashnode.com/uploads/covers/6961decc69c600e13d6a9156/6dcc9713-eb51-4a80-9dae-3f2330d2089c.png align="center") * **Per-warehouse view**: estimated 30-day cost, potential (or realized) savings, and a one-click toggle to turn auto-tune on or off. ![Altimate Lite warehouses dashboard showing 30-day total cost, potential annual savings, auto-tune eligible and enabled warehouse counts, and a daily spend and savings chart.](https://cdn.hashnode.com/uploads/covers/6961decc69c600e13d6a9156/462f2e2d-2b04-412c-8f48-2f111b7abce3.png align="center") * **Decision history**: a full audit trail of every action taken (cluster suspensions, resize decisions) timestamped and exportable as CSV. On a single warehouse, the system logged 118 tuning decisions in one day. ![Agent Decisions chart and Auto Tune history log showing a timestamped list of warehouse suspend actions.](https://cdn.hashnode.com/uploads/covers/6961decc69c600e13d6a9156/57a5cae5-168c-43cb-9eba-27e007fb1b6d.png align="center") * **AI cost observability**: a separate view tracking spend, token usage, and adoption across roughly eight AI services (AI SQL functions, Cortex, Code CLI tools, and more), filterable by service, user, and model, with CSV export for further analysis. ![Daily AI cost chart in Altimate Lite, stacked by Cortex service, showing spend trends over a one-month period.](https://cdn.hashnode.com/uploads/covers/6961decc69c600e13d6a9156/5d73219d-b7b2-4f00-a28d-8c777b1d8694.png align="center") *Daily AI cost chart showing spend trends over a one-month period.* ![Altimate Lite per-user AI usage detail page showing cost, tokens, queries, and daily spend for a single Snowflake user.](https://cdn.hashnode.com/uploads/covers/6961decc69c600e13d6a9156/e9db06b8-ab15-498c-a032-e58b365353bb.png align="center") *Per-user AI usage showing cost, tokens, queries, and daily spend for a single Snowflake user.* ## Altimate Lite Pricing: Free 30-Day Trial, Then $100/Month Altimate made a deliberate choice to keep pricing transparent and self-serve. No sales call required: * **30-day free trial**, no cost. * **$100/month** flat fee after the trial. * **2.5% of daily warehouse cost (after savings)** for each warehouse you activate auto-tune on. You only pay for the warehouses you turn on, regardless of how many others exist in your account. The recommended path: turn it on for one or two warehouses, watch the savings and audit history for a bit, and expand from there once you're comfortable. ![Find Altimate Lite on the Snowflake Marketplace.](https://cdn.hashnode.com/uploads/covers/6961decc69c600e13d6a9156/6f943f3d-c722-4bf1-9ff0-a9debc753c38.jpg align="center") ## Altimate Lite vs. Enterprise: What's the Difference? Altimate Lite covers auto-tune and AI cost visibility. [The Enterprise edition](https://altimate.ai/platform), which has been running in production for customers processing billions of queries, adds: * **Auto-resize**: automatic warehouse right-sizing as workloads shift. * [Altimate](https://altimate.ai/platform#studio) **AI Studio**: a collaborative agent workspace for deeper savings analysis, scheduled reporting, and team-based showback/chargeback with SSO integration. * **Assisted optimization**: guided recommendations for improving query code, table and storage configuration, and dbt models, safely assignable to teams. * **Altimate Code**: [an open-source CLI and VS Code extension](https://github.com/AltimateAI/altimate-code/) that catches costly SQL and dbt mistakes during development. On data handling: Enterprise is a hosted SaaS product that analyzes query history and telemetry (not your underlying business data) to power these features. The Altimate platform is SOC 2 compliant and has been through security review with financial services and healthcare customers, including in Europe. ## Altimate Lite: Key Questions Summary: **Is Altimate Lite free to try?** Yes. Altimate Lite includes a 30-day free trial with no cost. After that, it's $100/month plus 2.5% of the daily cost of any warehouse where you've enabled auto-tune. **Does my data leave my Snowflake account?** No. Altimate Lite runs entirely inside your Snowflake environment as a native app, a walled garden, and none of your data ever leaves your account. **How much can I save?** Private preview customers saved an average of 19% on warehouse costs, with a low of 12.4% and weekend peaks as high as 57.5%, with no measurable impact on query performance. **How is this different from Snowflake's built-in auto-suspend?** Snowflake's auto-suspend checks warehouse activity every 30 seconds. Altimate's auto-tune runs roughly ten checks in that same window and adjusts configuration every five to six seconds based on predicted workload. **How to Get Started with Altimate Lite's Free Trial** Altimate Lite is live now on the Snowflake Marketplace. Start your 30-day free trial today. If you want to talk through auto-resize, Enterprise features, or just how to think about AI cost management more broadly, reach out to the Altimate team, no obligations, no high-pressure sales.