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With so much investment happening in GenAI, how can you harness GenAI's power without sinking in Technical Debt? thenewstack.io/harness-genais… The New Stack

It was a pleasure to speak with Craig Galbraith about Snowflake’s partner ecosystem and all the great AI announcements we made last week. Thanks for joining us at #SnowflakeSummit!

Definitely recommend checking out Titan Core - a novel new approach to infra as code in Snowflake without the fuss. Big fan of what » teej and Titan are doing here

Running pandas at scale with slow single-threaded execution or painful out-of-memory errors? Say hello to Snowpark pandas API, enabling seamless and secure execution of distributed pandas in Snowflake. snowflake.com/blog/snowpark-…

I had a lot of fun writing the Clouded Judgement post for tomorrow, where I'll discuss the future of software and their business models in an AI world. Here's a quick teaser: "This is why one belief I have is that the future of application software in a world of AI agents

One of the funnest things I got to do at Summit was eat an INCREDIBLE steak and talk a bit about what’s it’s like to work at Snowflake. Check it out! 🥩

H2O is on a mission to democratize AI — and they’re using Snowflake Native Apps and Snowpark Container Services to help make it happen. Learn more in our blog: okt.to/sx6oyD

Snowflake’s Head of Applications and Developer Tools Jeff Hollan joined the @Coursera podcast to double click into how Snowflake and Coursera are empowering developers, data scientists, and data engineers to up level their careers and thrive in the era of AI. Through our

HUGE milestone for the team! Containers running right next to your data, and 50% cost reduction across CPU and GPUs!??!? So exciting! It's been amazing to see Snowflake customers using containers for Data Science, ML, GenAI, Applications, and more. Can't wait to see what you

Stephen Curry 🇺🇸🇺🇸🇺🇸

Proud of our strong Q2 at Snowflake! We exceeded the high end of our guidance, with product revenue increasing 30% YoY. Our Remaining Performance Obligations totaled $5.2B, reflecting an impressive 48% YoY growth. Given these strong results, we have again raised our product

Pandas has become a cornerstone of data science, engineering, and machine learning, powering countless workflows across the Python ecosystem. However, handling scale has become a critical challenge with pandas, slowing development - until now. As of today, you can run 1TB+ of

The larger cloud native community has benefited so much from Tom Kerkhove ☁️🤖, his leadership, and his contributions of many types. I’m so honored to have been able to work with him. Truly thank you for everything! 🙏

We are thrilled to announce that Snowflake Notebooks on Container Runtime and Model Serving with Containers are now both in public preview! Snowflake is making it easier than ever before to build and deploy models while using distributed GPUs, all from a single platform.

This is a very cool pattern and a nice fit for Durable Functions orchestration and state management

Attention Azure developers! Snowpark Container Services is now GA in both Azure and AWS commercial regions for all your containerized workloads 📷 Easily and securely deploy everything from conversational app front-ends and large-scale inference with open source models, all

Never forget the Seahawks’ unreal OT comeback win over the Packers in the 2014 NFC Championship. 🔥 (via NFL, FOX)

What DeepSeek has shown us is that the "race" in AI is far from over. It’s not about how much they spent or where they’re based—it’s about the pace of innovation. The message we need to hear loud and clear is to keep pushing boundaries, knowing that disruption can come from

Cortex Agents are out, with Anthropic as a key LLM powering it. ➡️ Orchestrate across structured and unstructured data sources ➡️ State of the art retrieval: Cortex Analyst with agentic text-to-SQL for high-quality structured data retrieval. Cortex Search with state of the

AI is not a bet—it’s a business imperative. 💰The average return on AI investments is $1.41 for every $1 invested. That number will only go up. I speak with customers every week—most teams have AI use cases they can execute right now. Here’s a look at what’s holding them back,