databricks

Databricks closes $5B raise at $190B valuation as enterprise AI data demand explodes, cementing its role in generative AI infrastructure. $BTC $ETH $SOL #Tech #Databricks #AI #Funding #Enterprise

Databricks raises $5B in a funding round

#Databricks secures $5B in a funding round at a $190B valuation. The round was led by Coatue, with participation from Blackstone, MGX, T. Rowe Price, Sixth Street Growth, BOND, Clearlake Capital, Point72, Premji Invest, TPG, and existing investors. The step-up reinforces Databricks’ status as a top private company, highlighting strong investor demand for AI infrastructure despite bubble concerns.

Databricks is a unified, cloud-based data, analytics, and #AI platform built on a "lakehouse" architecture.

👉 databricks.com/company/newsroom/press-releases/databricks-grows-80-yoy-surpasses-7b-revenue-run-rate-scales

$DATABRICKS SECURES $50B AT $190B VALUATION — THE AI INFRASTRUCTURE POWER PLAY UNFOLDS 🚀

Databricks just closed one of the largest private rounds in tech history — $50B at a $190B post-money valuation, up from the $188B initially disclosed thanks to expanded scale and additional share issuance. Coatue led the charge, with Blackstone, MGX, T. Rowe Price, and Sixth Street Growth joining the lineup. 🏦

The fundamentals speak for themselves: $70B+ revenue run rate, growing over 80% year-on-year. CEO Ali Ghodsi dropped a heavyweight take — by pre-2022 industry definitions, AGI has already arrived. The real bottleneck now? Enterprise context, AI token costs, and agent infrastructure. That's exactly where the new capital is aimed: Unity AI Gateway for cross-model routing, Lakebase (already past a $1B run rate), and Genie for enterprise context access. 🧠

Equally telling is the IPO posture — Ghodsi says a public listing before Anthropic or OpenAI is "very low" probability. Private-market conviction, fully financed. 💼

Does a $190B private valuation for AI infrastructure reveal where institutional capital believes the agentic era's real moats will form?

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #Databricks #AI #AGI #Funding #InstitutionalCapital

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Databricks’ six-month valuation soared from 134B to 190B, raising $5B and surpassing $7B in ARR.
In the AI data industry, capital influx is still accelerating, but cloud vendors and open source are squeezing from both sides—this valuation effectively prices in the expectations for the next five years.
In a bull market, stories are what matter; in a bear market, cash flow is what counts.
Don’t rush into FOMO—see how it delivers in its next earnings report. #Databricks $BTC

Databricks has rolled out the open-source Agent orchestration tool, Omnigent, tackling the challenges of multi-Agent collaboration and security control.

Databricks has open-sourced the Agent orchestration framework Omnigent under the Apache 2.0 license, which runs on existing tools like Claude Code, Codex, and Pi, allowing different frameworks' agents to be transformed into interoperable system components. Omnigent implements stateful security controls directly at the orchestration layer, supporting the interception of git push actions after agents download npm dependencies, requesting manual approval, or setting LLM cost limits to pause operations when cumulative costs hit $100. The framework also integrates a network request sandbox to prevent sensitive information leaks.

Why it matters: Omnigent fills the interoperability gap in multi-Agent orchestration, providing crucial security control infrastructure for AI Agents transitioning from experimental to enterprise-level deployment.

#Databricks #AI #Agent #open-source

Daily push, one step at a time: Databricks provides managed services for open-source models like Kimi, with Asia’s GPU capacity nearly exhausted. Demand continues to grow in Japan, South Korea, the United States, and India.

Kimi’s strength isn’t only on the consumer side—GPU demand on the B2B side is also surging. Databricks’ customers want compute power; Databricks needs to buy GPUs. Buying GPUs requires massive fundraising—every link in the chain is saying “not enough.”

In its quarterly report, Alibaba reported cloud growth of 40%+. Meanwhile, Databricks’ Asia capacity is running out. The arms race for AI compute has shifted from “whose model is better” to “who has more GPUs.” This is a war on the supply side; the demand side has never been the problem.

#AI #GPU #Databricks