Databricks

@databricks

Databricks is the Data and AI company, helping organizations build and scale data and AI apps, analytics and agents.

HQ: San Francisco, CA

databricks.com

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Databricks
@databricks
11m
AI Runtime is now generally available, bringing serverless, on-demand GPUs directly into Databricks to power the next generation of AI development. As AI teams scale model training and agent-driven experimentation, they need GPU infrastructure that can keep pace. AI Runtime
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Databricks
@databricks
20h
Introducing MemCurrent, a persistent memory architecture designed to help production agents stop starting from zero. MemCurrent combines episodic memory with derived memory across three access patterns: • Plugins to log and load context automatically • Tools the agent calls
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Databricks
@databricks
Oct 20
More than 1 million Genie Agents were created in 2026. Which ones should you build first? Across dozens of rollouts, the agents that get adopted fastest share a clear pattern: tightly scoped domains, high-frequency repetitive questions, and governed data with strong metadata.
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Databricks
@databricks
Oct 19
DeepSeek V4.1 Flash 1017 is now available on Databricks as a new endpoint. Same architecture, updated weights, with substantial improvements across reasoning, coding, agentic tasks and visual benchmarks.
Databricks
@databricks
Sep 11
DeepSeek 4.1 Flash is on Databricks the day it ships. On OfficeQA Pro V2, it lands on the Pareto frontier, making it a strong open-source option for enterprise document reasoning. You can point it at the data already in your Lakehouse and use it to build governed AI apps and
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Databricks
@databricks
Oct 19
Open table formats are important. But they don’t answer the harder question: who actually controls the data, and can you move it without copying everything somewhere else? That’s the standard we use for openness in Unity Catalog. Your managed tables can live in customer-owned
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