karamazov

5 ms·

1.
by karamazov 5mo ago
Espresso AI | Staff ML, Staff Infra, FDE | Brooklyn or San Francisco | Full time We're using LLMs to build neural optimizers, neural scheduling systems, and neural workload tuners. (If you're ex-Google, you can think of it like Bo
2.
by karamazov 6mo ago
Espresso AI | Staff ML & Staff Infra Engineers | Brooklyn or San Francisco | Full time We're using LLMs to build neural optimizers, neural scheduling systems, and neural workload tuners. (If you're ex-Google, you can think of
3.
by karamazov 7mo ago
Espresso AI | Staff Engineers | NYC ONSITE | Full Tim We use ML to make data warehouses and spark jobs more efficient. We're hiring staff ML engineers to train models that can understand how much compute a job needs, how it scales to l
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Show HN: Free Snowflake Observability
2 points by karamazov 7mo ago|0 comments
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by karamazov 9mo ago
Using ML to make SQL queries more efficient. This is what my company does ( https://espresso.ai/ ), I'm taking advantage of the end of year quiet time to hack on some more R&D-style projects we have.
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Show HN: Optimize Databricks SQL
6 points by karamazov 11mo ago|0 comments
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Kubernetes for Snowflake(espresso.ai)
20 points by karamazov 1y ago|2 comments
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Show HN: Find and Delete Unused Snowflake Tables(espresso.ai)
1 points by karamazov 2y ago|0 comments
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Stop Paying for Snowflake Multicluster(espresso.ai)
3 points by karamazov 2y ago|0 comments
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Run DBT 2x Faster(espresso.ai)
3 points by karamazov 2y ago|0 comments
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Espresso AI, the First Neural Compute Optimizer(espresso.ai)
1 points by karamazov 2y ago|0 comments
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by karamazov 2y ago
Chiming in, I'm one of the founders of Espresso AI - we do both query optimization and warehouse optimization, both of which are hands-off. In particular we're beta-testing a fully-automated solution for query optimization (it&#x2
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by karamazov 2y ago
We have better tech. For our customers, this translates directly into more savings. We also have less setup and overhead than most of the other companies in the space. many of them come in with recommendations for system changes that you ne
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by karamazov 2y ago
The immediate next thing is expanding to Databricks, followed by BigQuery and other data warehouses. In the long run we plan to optimize source code (e.g. C++).
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Espresso AI emerges from stealth with $11M to tackle the cloud cost crisis(venturebeat.com)
15 points by karamazov 2y ago|4 comments
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by karamazov 2y ago
Espresso AI | https://espresso.ai/careers | Founding Engineer | NYC Onsite| Full-Time Espresso AI is hiring founding engineers to automate performance engineering, starting with Snowflake data warehouses. Our team worked on
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by karamazov 2y ago
there's not a lot to demo - you just turn it on and your bill goes down. I'll try to think of something we can put up though, thanks for the note. For now I'm hoping 15 minutes is a reasonable investment to save $10k or $100k
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by karamazov 2y ago
Yes, for right now. We have waiting lists for Databricks, BigQuery, and Redshift; we're hoping to get there later this year. Shoot me an email if you're interested in one of those: ben@espresso.ai.
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Show HN: Save 50% on Snowflake in 15 minutes
10 points by karamazov 2y ago|4 comments
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Show HN: Save 50% on Snowflake in 15 minutes
9 points by karamazov 2y ago|1 comments
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by karamazov 2y ago
Espresso AI | https://espresso.ai/careers | Founding Engineer | NYC Onsite| Full-Time Espresso AI is hiring founding engineers to automate performance engineering, starting with Snowflake data warehouses. Our team worked on
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Show HN: Get expert PhD feedback on your LLM ideas(llmphd.com)
3 points by karamazov 3y ago|0 comments
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by karamazov 4y ago
How's your health? The brain fog, in particular, jumps out as something that may have other causes. In particular: * Are you exercising? * Sleeping well? Sleeping consistently? * Eating well? * Getting enough vitamins? Vitamin D is a c
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by karamazov 4y ago
First, a reality check - it’s great that you can ship defect-free code, but that’s table stakes for a good senior engineer. You’re locally a 10x engineer because you wrote most of the code, so you’re naturally going to be a lot more effecti
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by karamazov 4y ago
You have a heat reservoir, i.e. a well-insulated and very hot object, that stores energy as heat. If you insulate it with mirrors, that can look like bouncing photons back into the reservoir. When you want to generate energy, you open the i
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by karamazov 5y ago
Write-up: https://deepmind.com/blog/article/Predicting-the-past-with-I...
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by karamazov 5y ago
It's a reasonable comparison, but it's probably more like being great at a sport: a professional tennis player is not going to become a professional bicyclist with a few weeks of effort.
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Ask HN: Who want to be fired?
74 points by karamazov 5y ago|43 comments
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by karamazov 6y ago
Or use the closed-form solution.
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Ask HN: What Lived Up to the Hype?
424 points by karamazov 6y ago|1091 comments

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