Specialized silicon is back in full force. Driven by
- Agentic inference
- Need for ultrafast and ultra-efficient inference
- Slower transistor scaling
- The memory wall
@zainasgar walks us through the history, and what it means for the future of inference
Announcing Quanton Kubernetes Operator for Apache Spark 🚀
33% organizations adopt Spark on Kubernetes, and now you can get performance you need on infrastructure you control with zero code changes.
@Cmdr_Tik Il vous suffit de synchroniser votre appareil pour activer les fonctionnalités du mode sombre sur votre appareil. Suivez-nous ou envoyez un dm pour vous guider.
We are excited to partner with @mikedelbalso@kevinmstumpf and the @tectonai team. Delivering value with machine learning is unfortunately still out reach for most companies. Tecton aims to fix this, and bring machine learning to the world faster.
https://t.co/jjomT3X5wl
It's an exciting day for the Tecton team! We’re thrilled to share that we've secured $100M in a Series C funding round led by @kleinerperkins, Tiger Global, @BainCapVC, w/ participation from @SnowflakeDB@databricks@a16z & @sequoia. Read more here: https://t.co/DdNHUyJ0A8
New Post✍️
My notes from @TectonAI's apply(meetup). It covers:
- ML Systems Research
- Feature Store Adoption
- ML Observability
- Streaming Architecture
Thanks @mikedelbalso and team for organizing again. Enjoy!👇
https://t.co/RQG4wxzqy5
⏰ One day left to register for #applyCommunityMeetup, starting tomorrow at 9:00 am PT! Calling all #ML#dataengineering or #MLOps professionals, save your seat, and if you can’t make it, we will send you the recordings after! Who’s in? 🙋 🙋♀️ ➡️ https://t.co/YSu1lzWm0f
🚨 Introducing low-latency streaming pipelines for real-time ML. For data teams building features from streaming sources: Tecton now automatically processes streaming features with sub-second latency.
👉 https://t.co/xbfqCZ0sjE
#MLOps#MachineLearning#FeatureStore
🔥 apply() - the ML data engineering conference - is back August 11 😎
Register free 😍 at https://t.co/Lz5Pfx5jUg
See the speaker announcement at https://t.co/nXg3b520vA
Introducing our speaker lineup in thread 👇👇
#DataEngineering#MachineLearning#MLOps
🎉 Announcing #applyCommunityMeetup on August 11, presented by @tectonAI. Foster conversations, learn the latest trends, and new best practices for ML #dataengineering and #MLOps! Register now and/or submit a talk proposal 🗣️ by July 5 👉🏽 https://t.co/tqFvPz0ys4
#MachineLearning
Exciting news 🎉! Tecton has been named a Gartner Cool Vendor in Entrprise AI Operationalization and Engineering! 😎 Read more about it:
- Blog: https://t.co/p9c2wVlXcp
- PR: https://t.co/P0i3kgLBIV
👋 Kicking off day 2 of #ApplyConf: 💡
@tmu of Google on "The Only Truly Hard Problem in MLOps". Join the 👀 live sessions now: https://t.co/GMid4LZzS5
Full conference agenda at https://t.co/vLIIF95foO
🕺 Demetrios of @mlopscommunity kicking off #ApplyConf. Join us now for the live 😎 sessions https://t.co/GMid4LHZ0x
full agenda at https://t.co/vLIIF9mQNo
💥 More than 6,000 registered for the first apply() conference, starting on Wednesday. Still time to join and learn from >40 experts and practitioners in data engineering from ML.
Register free 😍 https://t.co/vLIIF95foO
#ApplyConf#MLOps#MachineLearning
🚨 Feast 0.10 is live on PyPI and GitHub! The fastest and simplest way for data scientists to serve ML features in production. Read about what's in the release here --> https://t.co/3UtUBDoGJe
#FeatureStore#MLOps#ML
💡 Don’t miss @chipro’s talk on “Machine Learning is Going Real-Time” at #ApplyConf. Chip will cover different levels of real-time machine learning, their use cases, challenges, and adoption.
Register free 😎 https://t.co/vLIIF95foO
🎉We are excited to announce that Tecton was named today by @CBinsights on its fifth annual #AI100 ranking, showcasing the 100 most promising private artificial intelligence companies in the world. 🎉
https://t.co/DCn0hntOAs