Загрузка видео...

Не удалось загрузить видео

На главную

$DDOG fits into agentic AI stack because AI makes infrastructure much more complex across models, managing GPU fleets, monitoring token costs and production workflows. That creates a massive monitoring problem and Datadog monetizes it by becoming the dashboard for AI complexity.

StockSavvyShay's profile picture

Shay Boloor

423,997 subscribers

54,452 просмотров • 1 месяц назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

📈 NVIDIA tops AI leaderboards and benchmarks with open models driven by extreme co-design across compute, networking, memory, storage, and software. This includes models for biology, AI physics, agentic AI, physical AI, robotics, and autonomous vehicles. By being vertically integrated and horizontally open, NVIDIA enables its ecosystem to scale agentic workflows at every layer of the stack with the lowest cost per token.
0:38

📈 NVIDIA tops AI leaderboards and benchmarks with open models driven by extreme co-design across compute, networking, memory, storage, and software. This includes models for biology, AI physics, agentic AI, physical AI, robotics, and autonomous vehicles. By being vertically integrated and horizontally open, NVIDIA enables its ecosystem to scale agentic workflows at every layer of the stack with the lowest cost per token.

NVIDIA

85,165 просмотров • 2 месяцев назад

Introducing Lab: A full-stack platform for training your own agentic models Build, evaluate and train on your own environments at scale without managing the underlying infrastructure. Giving everyone their own frontier AI lab.
1:23

Introducing Lab: A full-stack platform for training your own agentic models Build, evaluate and train on your own environments at scale without managing the underlying infrastructure. Giving everyone their own frontier AI lab.

Prime Intellect

3,112,684 просмотров • 4 месяцев назад

Slash AI costs by 99%, run 1000+ models on a single GPU! OpenLoRA lets you run thousands of models on one GPU instead of one per model, drastically cutting costs and boosting flexibility. Excited to work with Aethir, Hyperbolic for infrastructure and for verifiability. Watch the demo:
3:18

Slash AI costs by 99%, run 1000+ models on a single GPU! OpenLoRA lets you run thousands of models on one GPU instead of one per model, drastically cutting costs and boosting flexibility. Excited to work with Aethir, Hyperbolic for infrastructure and for verifiability. Watch the demo:

OpenLedger

155,267 просмотров • 1 год назад

NVIDIA CEO Jensen Huang explains the architecture of the AI revolution AI is fundamentally about thinking—and that requires supercomputers. We’ve created a new industry: AI infrastructure. It will be as foundational as the electricity and internet infrastructures—permanent for every society. This is a transformative time; how we deliver and produce intelligence is changing. Each layer of the AI stack is growing: 1. Energy 2. Chips 3. Infrastructure 4. AI models 5. AI applications We’re witnessing a complete revolution across the stack, with opportunities at every layer. NVIDIA intends to participate across the entire stack.
1:34

NVIDIA CEO Jensen Huang explains the architecture of the AI revolution AI is fundamentally about thinking—and that requires supercomputers. We’ve created a new industry: AI infrastructure. It will be as foundational as the electricity and internet infrastructures—permanent for every society. This is a transformative time; how we deliver and produce intelligence is changing. Each layer of the AI stack is growing: 1. Energy 2. Chips 3. Infrastructure 4. AI models 5. AI applications We’re witnessing a complete revolution across the stack, with opportunities at every layer. NVIDIA intends to participate across the entire stack.

Ask Perplexity

64,013 просмотров • 8 месяцев назад

AI is not one model. It is a five layer industrial stack: energy, chips and systems, infrastructure software, models, and applications. When America leads across that stack, we lead the next wave of growth.
4:55

AI is not one model. It is a five layer industrial stack: energy, chips and systems, infrastructure software, models, and applications. When America leads across that stack, we lead the next wave of growth.

NVIDIA Newsroom

13,522 просмотров • 6 месяцев назад

What if AI agents could transact without any friction? 🤖 No gas tokens. No monitoring. No complexity. x402 on Stable makes this possible. One token does it all ✅ USDT for both payment and fees. Simple, predictable, and built to scale ⚡
0:42

What if AI agents could transact without any friction? 🤖 No gas tokens. No monitoring. No complexity. x402 on Stable makes this possible. One token does it all ✅ USDT for both payment and fees. Simple, predictable, and built to scale ⚡

Stable

10,149 просмотров • 3 месяцев назад

Telecom infrastructure is becoming a distributed AI compute layer, unlocking smarter cities and more efficient operations. NVIDIA AI-RAN and NVIDIA Metropolis Blueprint for video search and summarization enable AI agents to run continuously at the edge. These agents analyze real-time data streams from connected sensors over 5G to power live monitoring and infrastructure inspection. ▶️ Watch the full video to learn more:
0:44

Telecom infrastructure is becoming a distributed AI compute layer, unlocking smarter cities and more efficient operations. NVIDIA AI-RAN and NVIDIA Metropolis Blueprint for video search and summarization enable AI agents to run continuously at the edge. These agents analyze real-time data streams from connected sensors over 5G to power live monitoring and infrastructure inspection. ▶️ Watch the full video to learn more:

NVIDIA AI

11,078 просмотров • 2 месяцев назад

In China, AI is becoming more than a production tool. It is becoming an operating system for media and entertainment. A real-time feedback engine that detects demand, creates faster, distributes smarter, monetizes earlier, and learns continuously. At KIN, we track these signals before they become obvious. Watch ▶️ Thread below 👇
1:54

In China, AI is becoming more than a production tool. It is becoming an operating system for media and entertainment. A real-time feedback engine that detects demand, creates faster, distributes smarter, monetizes earlier, and learns continuously. At KIN, we track these signals before they become obvious. Watch ▶️ Thread below 👇

KIN | Human Machine AI

10,654 просмотров • 18 дней назад

India contributes 16% to Global AI talent and is among top 3 talent markets. Indians are the 2nd Largest contributor to public Gen-AI GitHub projects. It is estimated that AI-enabled GCCs will likely contribute 30-35% of revenues of the India’s AI services market by 2028. Thus, India has the potential for becoming the global hub for building various AI products & services. Given the large population with 650 million smartphone users, we should create scalable models for sectors beyond finance such as healthcare, education, agriculture, MSMEs, exports, etc. India can also build AI products that fits diverse use-cases across the world. It can be a laboratory for developing and testing AI ideas. Our AI stack must be rooted in Indian languages, local contexts, and multimodal interfaces, so that it can be widely accepted and accessed by our citizens. Focused approach across the AI stack can make India the AI torchbearer for the Global South. - Smt Nirmala Sitharaman.
3:41

India contributes 16% to Global AI talent and is among top 3 talent markets. Indians are the 2nd Largest contributor to public Gen-AI GitHub projects. It is estimated that AI-enabled GCCs will likely contribute 30-35% of revenues of the India’s AI services market by 2028. Thus, India has the potential for becoming the global hub for building various AI products & services. Given the large population with 650 million smartphone users, we should create scalable models for sectors beyond finance such as healthcare, education, agriculture, MSMEs, exports, etc. India can also build AI products that fits diverse use-cases across the world. It can be a laboratory for developing and testing AI ideas. Our AI stack must be rooted in Indian languages, local contexts, and multimodal interfaces, so that it can be widely accepted and accessed by our citizens. Focused approach across the AI stack can make India the AI torchbearer for the Global South. - Smt Nirmala Sitharaman.

Nirmala Sitharaman Office

11,419 просмотров • 8 месяцев назад

Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.
2:00

Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.

King

155,637 просмотров • 6 месяцев назад

The AI economy will be powered by AI agent swarms. They'll need fast, affordable, and verifiable compute. Cysic AI delivers exactly that: a high-performance AI infrastructure stack engineered for the agent economy. Here's why it matters 👇
0:46

The AI economy will be powered by AI agent swarms. They'll need fast, affordable, and verifiable compute. Cysic AI delivers exactly that: a high-performance AI infrastructure stack engineered for the agent economy. Here's why it matters 👇

Cysic

20,168 просмотров • 11 месяцев назад

AI is more than a tool, it has the power to act as an independent agent without human instruction. Releasing AI agents into the world requires constant monitoring and self-correcting mechanisms.
1:07

AI is more than a tool, it has the power to act as an independent agent without human instruction. Releasing AI agents into the world requires constant monitoring and self-correcting mechanisms.

Yuval Noah Harari

53,793 просмотров • 3 месяцев назад

What does it take for CTOs and CIOs to build an AI stack where data reaches compute reliably, securely, and at scale? That’s the strategic question behind my conversation with Kunal Anand, CPO at #F5. As AI moves into production, the real differentiator won’t just be the model — it will be the infrastructure that delivers data with reliability, security, and visibility. The last mile of AI is becoming a first-class product decision, not just an infrastructure one. Watch the full conversation: Register for AI Virtual Summit (free) #AI #CTO #CIO #EnterpriseAI #Infrastructure #Cybersecurity #F5Partner
1:02

What does it take for CTOs and CIOs to build an AI stack where data reaches compute reliably, securely, and at scale? That’s the strategic question behind my conversation with Kunal Anand, CPO at #F5. As AI moves into production, the real differentiator won’t just be the model — it will be the infrastructure that delivers data with reliability, security, and visibility. The last mile of AI is becoming a first-class product decision, not just an infrastructure one. Watch the full conversation: Register for AI Virtual Summit (free) #AI #CTO #CIO #EnterpriseAI #Infrastructure #Cybersecurity #F5Partner

Helen Yu

12,102 просмотров • 8 дней назад

Datadog is one of the largest infrastructure success stories of the last decade. Now they’re betting on AI: a SOTA in-house time series model, observability for AI, and more. I talked to Datadog CEO Olivier Pomel about Datadog’s AI strategy and where he thinks things are going:
56:03

Datadog is one of the largest infrastructure success stories of the last decade. Now they’re betting on AI: a SOTA in-house time series model, observability for AI, and more. I talked to Datadog CEO Olivier Pomel about Datadog’s AI strategy and where he thinks things are going:

Barr Yaron

10,320 просмотров • 10 месяцев назад

NeurochainAI is the all-in-one platform for developers to build AI dApps including GPU DePIN, Data Layer, and AI model layer. But what does it actually mean? AI is a $1.8 trillion industry, and NeurochainAI is tapping into 1% of that - as an infrastructure of interconnected GPUs, AI models, and data. Even simpler? Think of us as Ethereum for AI🧠🌐
0:30

NeurochainAI is the all-in-one platform for developers to build AI dApps including GPU DePIN, Data Layer, and AI model layer. But what does it actually mean? AI is a $1.8 trillion industry, and NeurochainAI is tapping into 1% of that - as an infrastructure of interconnected GPUs, AI models, and data. Even simpler? Think of us as Ethereum for AI🧠🌐

Neurochain.AI

105,282 просмотров • 2 лет назад

AI agents fail silently in production: tool failures, hallucinated outputs, incomplete workflows, and long traces hide the real issue. Moda (moda) is monitoring & reliability built for AI agents, helping you catch issues before users do. Congrats on the launch, pranav & mo!
1:37

AI agents fail silently in production: tool failures, hallucinated outputs, incomplete workflows, and long traces hide the real issue. Moda (moda) is monitoring & reliability built for AI agents, helping you catch issues before users do. Congrats on the launch, pranav & mo!

Y Combinator

30,226 просмотров • 3 месяцев назад

.@SonarlyDev is your AI engineer for production. Most teams don’t trust their production alerts anymore because of the noise. They end up relying on user feedback (too late) or manual digging (too slow). Sonarly connects to your monitoring stack (like Sentry or Datadog) and your user feedback channels, automatically triages all these signals, investigates root causes, and ships a proposed fix. Congrats on the launch Dimittri and Alexandre Klobb!
1:32

.@SonarlyDev is your AI engineer for production. Most teams don’t trust their production alerts anymore because of the noise. They end up relying on user feedback (too late) or manual digging (too slow). Sonarly connects to your monitoring stack (like Sentry or Datadog) and your user feedback channels, automatically triages all these signals, investigates root causes, and ships a proposed fix. Congrats on the launch Dimittri and Alexandre Klobb!

Y Combinator

16,396 просмотров • 4 месяцев назад

The AI Monitoring dashboard provides detailed, actionable insights into your Gemini API usage 🔎🌟 Available in the Firebase console, you'll get comprehensive visibility into consumption patterns, performance metrics and potential issues. Learn more →
0:21

The AI Monitoring dashboard provides detailed, actionable insights into your Gemini API usage 🔎🌟 Available in the Firebase console, you'll get comprehensive visibility into consumption patterns, performance metrics and potential issues. Learn more →

Flutter

11,390 просмотров • 1 год назад

The future of AI deployment should be fast, affordable, and owned by all. Introducing Gradient Cloud, the all-in-one station for building with AI, powered by the Gradient distributed AI stack. Run frontier models at production speed for a fraction of the cost.
0:30

The future of AI deployment should be fast, affordable, and owned by all. Introducing Gradient Cloud, the all-in-one station for building with AI, powered by the Gradient distributed AI stack. Run frontier models at production speed for a fraction of the cost.

Gradient

128,297 просмотров • 9 месяцев назад