Ali Ghodsi
@alighodsi
Databricks CEO & Co-founder, UC Berkeley Faculty
261 Following 138.8K Followers
We're raising funding at $188 billion valuation to double down on our AI strategy focused on three priorities:
1️⃣ Unity AI Gateway - our multi-AI governance solution that helps control costs.
2️⃣ Genie - our AI coworkers that actually understand your business data.
3️⃣ Lakebase - our serverless Postgres database specifically for AI agents.
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At 11k employees, our AI costs are going up. Which model & harness should we use to lower cost but also retain great quality?
We didn't want to blindly trust public benchmarks. So we ran a comprehensive evaluation on our tasks, code base, infra. It's been produced by more than 3,000 software engineers, spans 3 hyperscalar clouds and many languages and tasks.
The results are surprising. We find that for the SAME mdoel, the choice of harness can significantly save costs (~2x). We also find that GLM 5.2 performs extremely well. We run Omnigent in front of these and can easily multiplex different harnesses and models for different tasks.
Check it out:
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Congrats! Open source GLM model is really a game changer! Extremely fast, cheap, and high quality!
