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daft_dataframe's profile picture. Scalable analytics, ML and data processing through a single unified interface: the Daft Python Dataframe (https://github.com/Eventual-Inc/Daft)

Daft

@daft_dataframe

Scalable analytics, ML and data processing through a single unified interface: the Daft Python Dataframe (https://github.com/Eventual-Inc/Daft)

325Posts 454Followers 54Following
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daftengine's profile picture.
Daft
@daftengine
Nov 3

Want a chance to win Nvidia DGX Spark - the $4500 AI super computer? Come visit us at Ray Summit tomorrow!

daftengine's tweet image. Want a chance to win Nvidia DGX Spark - the $4500 AI super computer? Come visit us at Ray Summit tomorrow!
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Daft reposted
hlondogard's profile picture.
Hampus Londögård
 @hlondogard
Nov 13

And I believe the updates daft has made should prove it even faster! 🚀 The new UDFs upcoming are also a great improvement in ergonomics

daftengine's profile picture. Distributed query engine providing simple and reliable data processing for any modality and scale (https://t.co/IN219tFqrN)
Daft
@daftengine
Nov 13

Deep learning training & inference need highly optimized data loading to keep expensive GPUs busy - you want data ready when the GPU needs it. Machine Learning Engineer Hampus Londögård (@hlondogard) explored how Daft shines for this challenge: - Multi-modal namespace - Smooth…

daftengine's tweet image. Deep learning training & inference need highly optimized data loading to keep expensive GPUs busy - you want data ready when the GPU needs it. Machine Learning Engineer Hampus Londögård (@hlondogard) explored how Daft shines for this challenge: - Multi-modal namespace - Smooth…
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daftengine's profile picture.
Daft
@daftengine
Nov 13

Deep learning training & inference need highly optimized data loading to keep expensive GPUs busy - you want data ready when the GPU needs it. Machine Learning Engineer Hampus Londögård (@hlondogard) explored how Daft shines for this challenge: - Multi-modal namespace - Smooth…

daftengine's tweet image. Deep learning training & inference need highly optimized data loading to keep expensive GPUs busy - you want data ready when the GPU needs it. Machine Learning Engineer Hampus Londögård (@hlondogard) explored how Daft shines for this challenge: - Multi-modal namespace - Smooth…
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daftengine's profile picture.
Daft
@daftengine
Nov 11

"For teams working primarily with structured data, what's the learning curve like for adopting Daft?" Kevin W., Daft's Founding Engineer says: If you're using SQL: Your existing SQL code works in Daft with minimal or no changes. If you're using Spark: We have Spark Connect…

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itsEvKlev's profile picture.
Everett Kleven
@itsEvKlev
Nov 7

It's been a busy few months for the Daft Team in open-source, so we put together a special Fall edition blog post to highlight achievements across: - AI Functions and Providers (prompt, classify_image) - UDFs (Statefull, Async, Batch, and Generators) - daft.File Upgrades (+ new…

itsEvKlev's tweet image. It's been a busy few months for the Daft Team in open-source, so we put together a special Fall edition blog post to highlight achievements across: - AI Functions and Providers (prompt, classify_image) - UDFs (Statefull, Async, Batch, and Generators) - daft.File Upgrades (+ new…
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daftengine's profile picture.
Daft
@daftengine
Nov 6

That's a wrap for us at the Ray Summit! We chatted with 200+ people about their multimodal data workloads, batch inference needs, complex ETL jobs, and a lot more. We also gave out awesome prizes - a DGX Spark and two pink iPads to lucky winners. Thank you for stopping by!

daftengine's tweet image. That's a wrap for us at the Ray Summit! We chatted with 200+ people about their multimodal data workloads, batch inference needs, complex ETL jobs, and a lot more. We also gave out awesome prizes - a DGX Spark and two pink iPads to lucky winners. Thank you for stopping by!
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Jay Chia - daft.ai
@JayChia5
Nov 4

We’re live at Ray Summit 2025! Come chat with the team to learn more about the @daftengine — running models on your data 😎😎😎

JayChia5's tweet image. We’re live at Ray Summit 2025! Come chat with the team to learn more about the @daftengine — running models on your data 😎😎😎
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daftengine's profile picture.
Daft
@daftengine
Nov 4

LLM batch inference is often costly and slow - GPUs sit idle between batches and caches evict useful data. Today we're releasing a new inference backend in Daft that can cut batch inference time in half for workloads with common prefixes. We developed Dynamic Prefix Bucketing -…

daftengine's tweet image. LLM batch inference is often costly and slow - GPUs sit idle between batches and caches evict useful data. Today we're releasing a new inference backend in Daft that can cut batch inference time in half for workloads with common prefixes. We developed Dynamic Prefix Bucketing -…
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Daft reposted
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Everett Kleven
@itsEvKlev
Oct 30

Just shipped: Faster-Whisper Pipeline for endless STT + Summaries + Subtitles + Chinese Translations + Embeddings Shouldn't matter how long your audio is or how many files you need to process. Enjoy! blog: daft.ai/blog/simplifyi…

itsEvKlev's tweet image. Just shipped: Faster-Whisper Pipeline for endless STT + Summaries + Subtitles + Chinese Translations + Embeddings Shouldn't matter how long your audio is or how many files you need to process. Enjoy! blog: daft.ai/blog/simplifyi…
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daftengine's profile picture.
Daft
@daftengine
Oct 29

Is Daft battle-tested vs alternatives like Spark and Ray Data? Spark: @essential_ai's @timr1126 processed 23.6B web documents (24T tokens) at 32,000 requests/second per VM: "We pushed Daft to the limit and it's battle tested... If we had to do the same thing in Spark, we would…

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daftengine's profile picture.
Daft
@daftengine
Oct 23

A use case spotlight 💡 @CloudKitchens shared how they revamped their ML infrastructure, creating what they call the DREAM stack: - Daft as their "latest and greatest kitchen gadget" for ETL, analytics, and AI/ML at scale - Ray as a distributed compute engine for data and AI…

daftengine's tweet image. A use case spotlight 💡 @CloudKitchens shared how they revamped their ML infrastructure, creating what they call the DREAM stack: - Daft as their "latest and greatest kitchen gadget" for ETL, analytics, and AI/ML at scale - Ray as a distributed compute engine for data and AI…
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daftengine's profile picture.
Daft
@daftengine
Oct 14

GitHub's Dev Advocate @peckjon built an AI image search engine with Daft + @GitHubCopilot 🪄 What he liked about Daft: ✨ Native image processing - treats images as actual data, not file paths ⚡ Chainable operations: decode() → resize() → encode() 📊 SQL queries on…

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daftengine's profile picture.
Daft
@daftengine
Oct 8

We kicked off our Daft contributor syncs again, the first in a long while! If you missed it, we just published the recording: na2.hubs.ly/H01rL370 Over the past few months, the team has made huge strides in architecture, model-based functionality, and UDFs - all aimed at…

daftengine's tweet card. Daft Contributor Sync | Sep 2025

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Daft Contributor Sync | Sep 2025

Source: youtube.com
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daftengine's profile picture.
Daft
@daftengine
Oct 7

This is why we love and value our Daft community 🩷 One of our community members recently shared how he first discovered Daft - as he says, while searching for startups that were "selling gold shovels during a gold rush." He stumbled upon Daft, found it open source and credible…

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