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A design partner told us the AI Explorer table needed a way to get data out so it could be saved and shared elsewhere. Now you export the whole view in one click, cost, tokens, cache, and model count all included. The values come through as clean numbers, not text you have to scrub. It’s the same pattern as Explorer, so there’s nothing new to learn.
...The AWS Bedrock pricing page shows clean numbers. $3 per million input tokens for Claude Sonnet 4.6. $0.035 for Amazon Nova Micro. Multiply volume by rate, and you have an estimate. The estimate rarely matches the invoice. Across $15 billion in cloud and AI spend under...
If you pull cost data from a CloudZero Snowflake Data Share, a request for just a few days of data could be surprisingly slow and expensive. Because of how the data was stored, Snowflake had to read far more than the days you asked for. You paid for that in query time and credits.
What we builtWe changed how the data behind your share is laid...
S3 storage costs are the AWS line item that finance leaders consistently underestimate. The storage charge itself is straightforward. Everything around it, data transfer, request volume, retrieval fees, and now AI-specific storage types, is where the budget surprises live.
If your company is building AI products, S3 is almost certainly inside your AI spend. Training...
Kubernetes efficiency metrics now work with infrastructure filters.
Why this mattersWhen you dig into Kubernetes spend, you filter by the dimensions you already think in: Cloud Provider, Account, Region. Now those filters and your Kubernetes efficiency data work together. Exports get the same treatment: CPU and memory efficiency are included in downloaded Explor...