Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

After decades of building databases, Databricks VP of Engineering Nikita | Scaling Postgres believes it's time to rethink one of their fundamental assumptions. In this episode of the 𝘐𝘵'𝘴 𝘈𝘣𝘰𝘶𝘵 𝘋𝘢𝘵𝘢 podcast, Nikita discusses why separating compute and storage is the next major architectural shift for operational databases, how...

databricks's profile picture

Databricks

94,196 subscribers

10,460 görüntüleme • 24 gün önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

The future of AI depends on how compute, storage, networking, and software work together. Junchen Jiang, Co-founder of Tensormesh, on what it takes to build the next generation of AI infrastructure.
0:59

The future of AI depends on how compute, storage, networking, and software work together. Junchen Jiang, Co-founder of Tensormesh, on what it takes to build the next generation of AI infrastructure.

AI at AMD

115,971 görüntüleme • 1 ay önce

Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks Databricks cofounders Matei Zaharia and Reynold Xin explain why Databricks is moving into the infrastructure layer for enterprise agents, how Omnigent creates a shared harness for coding agents and custom agents, why LTAP and Lakebase rethink the split between operational and analytical databases, why agent security needs contextual policies and spend controls, and why the future of software may be as simple as getting the right data in place and putting agents on top.
0:27

Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks Databricks cofounders Matei Zaharia and Reynold Xin explain why Databricks is moving into the infrastructure layer for enterprise agents, how Omnigent creates a shared harness for coding agents and custom agents, why LTAP and Lakebase rethink the split between operational and analytical databases, why agent security needs contextual policies and spend controls, and why the future of software may be as simple as getting the right data in place and putting agents on top.

Latent.Space

54,481 görüntüleme • 1 ay önce

A conversation with Simon Eskildsen on scaling Shopify, building turbopuffer, and the future of databases. 0:00 - Scaling Shopify through flash sales and outages 8:13 - How top infrastructure teams collaborated in the 2010s 10:35 - Engineering principles from Logrus and on-call 17:38 - The story behind Simon’s famous-ish blog, Napkin Math 23:05 - Why new database companies keep winning 32:21 - How Simon became a fan of databases 35:45 - AI coding, and where agents still fail 42:10 - Hiring P99 engineers in the AI era 48:45 - What’s next for databases
51:04

A conversation with Simon Eskildsen on scaling Shopify, building turbopuffer, and the future of databases. 0:00 - Scaling Shopify through flash sales and outages 8:13 - How top infrastructure teams collaborated in the 2010s 10:35 - Engineering principles from Logrus and on-call 17:38 - The story behind Simon’s famous-ish blog, Napkin Math 23:05 - Why new database companies keep winning 32:21 - How Simon became a fan of databases 35:45 - AI coding, and where agents still fail 42:10 - Hiring P99 engineers in the AI era 48:45 - What’s next for databases

Sualeh Asif

69,793 görüntüleme • 2 ay önce

Databricks launches Free Edition! Explore and learn the latest data and AI technologies for free. Users can experiment with the full range of use cases – from building AI agents and applications to analyzing data with SQL – on the same platform used by millions of professionals. We’re proud to help today’s students and enthusiasts build real skills on real tools in today's competitive AI and ML job market.
0:43

Databricks launches Free Edition! Explore and learn the latest data and AI technologies for free. Users can experiment with the full range of use cases – from building AI agents and applications to analyzing data with SQL – on the same platform used by millions of professionals. We’re proud to help today’s students and enthusiasts build real skills on real tools in today's competitive AI and ML job market.

Databricks

25,085 görüntüleme • 1 yıl önce

🚀I am excited to announce that Nile is live today! Nile is a Postgres platform to ship multi-tenant AI applications - fast, safe, and limitless Nile decouples storage from compute, virtualizes tenants, and supports vertical and horizontal scaling globally to provide 1. Unlimited Postgres databases, Unlimited virtual tenant databases 2. Customer-specific vector embeddings at 10x lower cost 3. Secure isolation for customer's data and embeddings 4. Autoscale to millions of tenants and billions of embedding 5. Place tenants on serverless or provisioned compute - globally in one database 6. Tenant-level branching, backups, schema migration, and insights
1:14

🚀I am excited to announce that Nile is live today! Nile is a Postgres platform to ship multi-tenant AI applications - fast, safe, and limitless Nile decouples storage from compute, virtualizes tenants, and supports vertical and horizontal scaling globally to provide 1. Unlimited Postgres databases, Unlimited virtual tenant databases 2. Customer-specific vector embeddings at 10x lower cost 3. Secure isolation for customer's data and embeddings 4. Autoscale to millions of tenants and billions of embedding 5. Place tenants on serverless or provisioned compute - globally in one database 6. Tenant-level branching, backups, schema migration, and insights

Ram

39,541 görüntüleme • 1 yıl önce

Building an AI factory is the next industrial revolution for the modern enterprise. In this episode of the NVIDIA AI Podcast, Justin Boitano, VP and GM of Enterprise Computing at NVIDIA, and Chris Wright, CTO and SVP of Global Engineering at Red Hat AI, break down the "five-layer cake" and the rise of autonomous agentic systems. 🎙️ Listen to the episode:
1:39

Building an AI factory is the next industrial revolution for the modern enterprise. In this episode of the NVIDIA AI Podcast, Justin Boitano, VP and GM of Enterprise Computing at NVIDIA, and Chris Wright, CTO and SVP of Global Engineering at Red Hat AI, break down the "five-layer cake" and the rise of autonomous agentic systems. 🎙️ Listen to the episode:

NVIDIA AI

11,297 görüntüleme • 4 ay önce

Big moment for Postgres! AI agents broke the idea of what a database is supposed to do. Traditional databases were built for humans, and Agents broke that model. - They branch endlessly. - They run ten experiments at once. - They need isolation, context, memory, structured reasoning, and safe sandboxes. Letting agents touch production systems is terrifying because the old model of Postgres was never built for this kind of behavior. Agentic Postgres is an agent-ready version of Postgres by TimescaleDB (by Tiger Data) that solves this. I think it is one of the biggest upgrades to the Agent stack this year and Tiger Data is working with me on this post to share what they did. Some key features: > It instantly creates branches of an entire database, which is perfect for parallel agent evals, safe experiments, migrations, or isolated testing. Forks take seconds and cost almost nothing. > It comes with a built-in MCP server, which agents can use to get schema guidance, best practices, and safe, structured access to Postgres. This is also helpful to run migrations with a real understanding. > It comes with actual hybrid search (vector search and BM25), so Agents can retrieve data directly inside the database. > The database is Memory native. This gives a persistent context for Agents to evolve. This is one of the first times I have seen Postgres feel ready for the AI native era.
0:26

Big moment for Postgres! AI agents broke the idea of what a database is supposed to do. Traditional databases were built for humans, and Agents broke that model. - They branch endlessly. - They run ten experiments at once. - They need isolation, context, memory, structured reasoning, and safe sandboxes. Letting agents touch production systems is terrifying because the old model of Postgres was never built for this kind of behavior. Agentic Postgres is an agent-ready version of Postgres by TimescaleDB (by Tiger Data) that solves this. I think it is one of the biggest upgrades to the Agent stack this year and Tiger Data is working with me on this post to share what they did. Some key features: > It instantly creates branches of an entire database, which is perfect for parallel agent evals, safe experiments, migrations, or isolated testing. Forks take seconds and cost almost nothing. > It comes with a built-in MCP server, which agents can use to get schema guidance, best practices, and safe, structured access to Postgres. This is also helpful to run migrations with a real understanding. > It comes with actual hybrid search (vector search and BM25), so Agents can retrieve data directly inside the database. > The database is Memory native. This gives a persistent context for Agents to evolve. This is one of the first times I have seen Postgres feel ready for the AI native era.

Avi Chawla

94,290 görüntüleme • 8 ay önce

Coming soon. A new episode of the Kolo podcast. Our guest is Sam from TRON DAO, one of the people building the ecosystem from the inside. We talk about why stablecoins landed on TRON, how AI agents are about to reshape payments, and what their $1B AI fund is actually for. Plus RWAs, upcoming collabs, and TRON’s plan for the next billion users
0:33

Coming soon. A new episode of the Kolo podcast. Our guest is Sam from TRON DAO, one of the people building the ecosystem from the inside. We talk about why stablecoins landed on TRON, how AI agents are about to reshape payments, and what their $1B AI fund is actually for. Plus RWAs, upcoming collabs, and TRON’s plan for the next billion users

Kolo💚

27,848 görüntüleme • 2 ay önce

AI agents are creating a new enterprise challenge: economics. At Dell Technologies Technologies World 2026, Ihab Tarazi of Dell and NVIDIA's Jason Hardy explained why the next phase of enterprise AI isn't about access to models, it's about controlling the cost of compute, storage, and the explosion of data agents create. The next wave of AI success will be defined by how organizations manage the economics behind agents at scale. $NVDA $DELL
1:17

AI agents are creating a new enterprise challenge: economics. At Dell Technologies Technologies World 2026, Ihab Tarazi of Dell and NVIDIA's Jason Hardy explained why the next phase of enterprise AI isn't about access to models, it's about controlling the cost of compute, storage, and the explosion of data agents create. The next wave of AI success will be defined by how organizations manage the economics behind agents at scale. $NVDA $DELL

Six Five Media

26,975 görüntüleme • 1 ay önce

Databricks CEO and co-founder Ali Ghodsi joined Bloomberg Technology to discuss the launch of Genie Code, an autonomous AI agent built specifically for data teams. "Just six months ago, we were talking about autocompleting code — now agents automate the code. The new question is: how do we take the code that’s been written into production and make sure we're monitoring it?" Watch the full conversation
5:15

Databricks CEO and co-founder Ali Ghodsi joined Bloomberg Technology to discuss the launch of Genie Code, an autonomous AI agent built specifically for data teams. "Just six months ago, we were talking about autocompleting code — now agents automate the code. The new question is: how do we take the code that’s been written into production and make sure we're monitoring it?" Watch the full conversation

Databricks

19,463 görüntüleme • 4 ay önce

An agent-first world is around the corner — where more actions will likely be taken by AI than by humans when building software. Zeno Rocha, cofounder of Resend, and Yoko Li say this reality is shaping how developers build, and changing what user experience really means. Great developer experience alone won’t cut it. We’ll also need to build for agent experience (or AX) — rethinking flows, permissioning, and how we define (and audit) who’s doing what in our systems. Zeno and Yoko share why they believe email is the perfect proving ground for AI agents, how to design APIs for agents (not just humans), and what MCP means for the future of agent-native apps.
0:32

An agent-first world is around the corner — where more actions will likely be taken by AI than by humans when building software. Zeno Rocha, cofounder of Resend, and Yoko Li say this reality is shaping how developers build, and changing what user experience really means. Great developer experience alone won’t cut it. We’ll also need to build for agent experience (or AX) — rethinking flows, permissioning, and how we define (and audit) who’s doing what in our systems. Zeno and Yoko share why they believe email is the perfect proving ground for AI agents, how to design APIs for agents (not just humans), and what MCP means for the future of agent-native apps.

a16z

32,663 görüntüleme • 1 yıl önce

When electric motors were invented, factories didn't become dramatically more productive overnight. The biggest gains came years later, after people redesigned factories around the new technology. Databricks co-founder and Chief Architect Reynold Xin (Reynold Xin) believes AI is creating a similar shift in software. In this fireside with YC's Diana, Reynold explains how AI agents are reshaping engineering organizations, why startups have an advantage in building AI-native products, and why the next generation of infrastructure needs to be lightweight, scalable, and built for agentic workloads from day one.
9:45

When electric motors were invented, factories didn't become dramatically more productive overnight. The biggest gains came years later, after people redesigned factories around the new technology. Databricks co-founder and Chief Architect Reynold Xin (Reynold Xin) believes AI is creating a similar shift in software. In this fireside with YC's Diana, Reynold explains how AI agents are reshaping engineering organizations, why startups have an advantage in building AI-native products, and why the next generation of infrastructure needs to be lightweight, scalable, and built for agentic workloads from day one.

Y Combinator

43,530 görüntüleme • 1 ay önce

🔐 Can decentralized trust fix broken digital identities? In Episode 10 of #PrivacyInMotion with Midnight and Brave, 👇🏼 explores why rewarding users for their data is crucial and how educating developers builds the transparent, privacy-first tech we need. Is it time to rethink the internet? [Partner Content]
7:01

🔐 Can decentralized trust fix broken digital identities? In Episode 10 of #PrivacyInMotion with Midnight and Brave, 👇🏼 explores why rewarding users for their data is crucial and how educating developers builds the transparent, privacy-first tech we need. Is it time to rethink the internet? [Partner Content]

CoinDesk

18,394 görüntüleme • 9 ay önce

In the first episode of Kaggle Conversations, meg.ai 🇨🇦 and Walter Reade from the Kaggle team talk with Alex Shaw, creator of Harbor Framework, about how the AI Agent industry is moving towards autonomy, why software engineering benchmarks are prone to contamination, and what it took to build a secure evaluation framework for the $1M Konwinski Prize. Watch a clip from the episode 👇
5:12

In the first episode of Kaggle Conversations, meg.ai 🇨🇦 and Walter Reade from the Kaggle team talk with Alex Shaw, creator of Harbor Framework, about how the AI Agent industry is moving towards autonomy, why software engineering benchmarks are prone to contamination, and what it took to build a secure evaluation framework for the $1M Konwinski Prize. Watch a clip from the episode 👇

Kaggle

17,495 görüntüleme • 1 ay önce

$NVDA CEO Jensen Huang says we're moving from retrieval to real-time intelligence which requires compute to be manufactured on demand rather than fetched from storage. That shift is why the world is now building AI factories instead of data centers.
2:10

$NVDA CEO Jensen Huang says we're moving from retrieval to real-time intelligence which requires compute to be manufactured on demand rather than fetched from storage. That shift is why the world is now building AI factories instead of data centers.

Shay Boloor

155,924 görüntüleme • 8 ay önce

In this episode of the Lightcone Podcast, we sat down with Mukund Jha and Madhav Jha, the founders of Emergent - an AI platform that lets anyone build and ship production-ready software. In just eight months, users have created more than 7 million apps on Emergent, with the number doubling in just the last 45 days. We discuss how they built one of the most powerful AI coding agents, why they focused on non-technical users and what it's like building for a global audience from India. 00:00 - Intro 01:06 - What Is Emergent? 01:18 - Founder Backstory 02:09 - From AI Testing to General Coding Agents 02:52 - Getting Ahead of the Market 04:18 - The Pivot to Non-Technical Users 05:22 - Why Second Movers Can Win in AI 09:04 - Building for Production, Not Just Prototypes 18:21 - Live Demo: Building Apps with Emergent 24:40 - How Emergent Hires and Runs a Lean Team 29:04 - Is SaaS Dead? The Rise of Personalized Software 34:04 - The Future: Niche Apps, Solo Builders and AI Agency
39:32

In this episode of the Lightcone Podcast, we sat down with Mukund Jha and Madhav Jha, the founders of Emergent - an AI platform that lets anyone build and ship production-ready software. In just eight months, users have created more than 7 million apps on Emergent, with the number doubling in just the last 45 days. We discuss how they built one of the most powerful AI coding agents, why they focused on non-technical users and what it's like building for a global audience from India. 00:00 - Intro 01:06 - What Is Emergent? 01:18 - Founder Backstory 02:09 - From AI Testing to General Coding Agents 02:52 - Getting Ahead of the Market 04:18 - The Pivot to Non-Technical Users 05:22 - Why Second Movers Can Win in AI 09:04 - Building for Production, Not Just Prototypes 18:21 - Live Demo: Building Apps with Emergent 24:40 - How Emergent Hires and Runs a Lean Team 29:04 - Is SaaS Dead? The Rise of Personalized Software 34:04 - The Future: Niche Apps, Solo Builders and AI Agency

Y Combinator

107,448 görüntüleme • 4 ay önce

Making Data and AI Lovable. Lovable now integrates with Databricks, providing a natural language interface that allows anyone—regardless of technical skills—to build live data apps can read and write data stored in Databricks. Bridge the gap between complex data engineering and beautiful, functional front-ends.
0:35

Making Data and AI Lovable. Lovable now integrates with Databricks, providing a natural language interface that allows anyone—regardless of technical skills—to build live data apps can read and write data stored in Databricks. Bridge the gap between complex data engineering and beautiful, functional front-ends.

Databricks

34,315 görüntüleme • 3 ay önce