Snowflake Developers

Snowflake Cortex Agents, now in public preview! Cortex Agents orchestrates across structured and unstructured data for accurate AI-driven decisions from within the secure Snowflake perimeter; Cortex Agents use Cortex Analyst (now in GA) and Cortex Search as tools. Swipe 👈 to see what’s new. Anthropic’s Claude 3.5 Sonnet is used by Cortex Agents to deliver accurate, efficient and governed data insights at scale. All the details: https://lnkd.in/gkfyrV9W

Build ML models at scale with Snowflake Notebooks in Container Runtime! Our new solution walks you through leveraging this powerful combination. This setup offers distributed processing (CPU/GPU), optimized data loading from Snowflake, automatic lineage capture, Model Registry integration, and flexible package management for your resource-intensive ML workflows. Learn how to install packages and train models using the Container Runtime. Explore the solution: https://lnkd.in/gDKuPveC

Claude 3.7 Sonnet is available in Snowflake Cortex AI. Build and scale trusted AI solutions within Snowflake's secure environment. Claude 3.7 Sonnet is the first model to offer hybrid reasoning, allowing customers to configure when they want the model to answer quickly and when they want it to think longer before answering. The next chapter in our Anthropic partnership is here: https://lnkd.in/gu4DxfSK

Which industry luminaries will be speaking at this year's #SnowflakeDevDay? We have you covered: ❄️ Andrew Ng - Founder & Executive Chairman of LandingAI, Founder of DeepLearning.AI ❄️ Lukas Biewald - Co-Founder and CEO of Weights & Biases ❄️ Lisa Cohen - Head of Data at Anthropic ❄️ Jared Kaplan - Chief Science Officer & Co-Founder of Anthropic ...and more! Register for free and join us on June 5: https://lnkd.in/g6td7a_x

Efficiently querying open formats like Apache Iceberg, especially with partial or approximate metadata, is a key lakehouse challenge. Our data format-agnostic query engine is built to "just work" in these scenarios. It uses smart optimizations like unified abstraction and sampling-based distinct value (NDV) estimation. This NDV approach, for example, delivered a 2x TPC-DS benchmark improvement without manual stats collection. Dive into how our engine tackles Iceberg metadata for better performance: https://lnkd.in/gQRZsJvU

💡 Unlock GenAI capabilities on Snowflake, now even easier with LinkedIn Learning! We're excited to partner with LinkedIn to bring our practical builder courses to more of you. This hands-on course helps you master common GenAI use cases, set up your environment, and build AI applications. You'll learn to use Cortex LLM Functions for key AI tasks and even fine-tune models for specialized needs. It's designed for doers, so you can start building right away. Also, with the attached link, you get 24 hours free access to our intro to Generative AI course. Start building: https://lnkd.in/gZjE5-si

We're tackling the key challenge of optimizing compute for billions of daily queries by balancing dynamic demand against CSP commitments. We leverage advanced forecasting and optimization models, factoring in hardware gains (like DDR5) and software speedups, to ensure cost efficiency AND instant scalability. Full details: https://lnkd.in/g7SZrCui

Excited to share our work on Speculative Decoding @Snowflake AI Research!  🚀 4x faster LLM inference for coding agents, 🚀 2.4x faster LLM inference for conversational use cases, ✅ Available via Arctic Inference as an easy-to-install plugin for vLLM!   Arctic Inference unifies several innovations into a powerful hybrid speculator: - Suffix Decoding for fast speculation of long, repetitive sequences (20μs per token on CPU) - Lightweight draft model pipeline using MLP/LSTM with seamless training-to-deployment - System-level vLLM optimizations that minimize speculation overhead 🔍 Learn more in our blog: https://lnkd.in/gR9GMkKE 📦 Everything is open-sourced: - Arctic Inference: https://lnkd.in/gEWenC-J - Arctic Training: https://lnkd.in/gRP-fu4Y Arctic Inference is implemented as a vLLM plugin, so it’s super easy to get started!   🙌 Huge thanks to Ye W., Gabriele Oliaro, Jaeseong Lee, Aurick Qiao, Samyam Rajbhandari and many others for 6+ months of incredible work!

Level up your Python data pipeline skills with Snowflake! 🚀 This free, 1-hour webinar offers hands-on experience building end-to-end, scalable data workflows. We'll dive into: ➡️ Ingesting data (S3 to Snowflake) ➡️ Processing with Snowpark DataFrames (joins, aggs) ➡️ Visualizing insights with Snowflake Notebooks ➡️ Using pandas on Snowflake (even reading from Git!) ➡️ Automating pipeline execution Save your spot: https://lnkd.in/gw3uaAFp

📢 #SnowflakeDevDay is back! Join us June 5 and get ready for: 🎤 Luminary talks with LandingAI's Andrew Ng, Anthropic's Jared Kaplan, and Lisa Cohen, and more 💻 Hands-on labs 🚀 A first look at the latest developer tools and innovations 🤝 Opportunities to network with peers and Snowflake experts Register for free today: https://lnkd.in/gW9ehw2a