Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

AI agents move fast. So should your search foundation. Introducing the next generation of Amazon OpenSearch Serverless. We rebuilt OpenSearch Serverless from the ground up for agentic AI and unpredictable workloads: - Create resources in seconds - Autoscale up to 20x faster than before - Usage-based pricing with decoupled...

awscloud's profile picture

Amazon Web Services

2,231,288 subscribers

11,941 görüntüleme • 2 ay önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Introducing: Readwise 2.0. The same app to easily revisit and learn from your highlights, now rebuilt from the ground up. Fresh design, smoother animations, much faster everywhere. Plus: better search, new ways to capture, AI chat, and much more. Live now.
1:00

Introducing: Readwise 2.0. The same app to easily revisit and learn from your highlights, now rebuilt from the ground up. Fresh design, smoother animations, much faster everywhere. Plus: better search, new ways to capture, AI chat, and much more. Live now.

Readwise

60,074 görüntüleme • 25 gün önce

SN50 is here, the fastest chip built for agentic AI. Max speed of up to 5X faster; run agentic AI at a 3X lower cost than GPUs, unlocking cloud-scale inference economics. We’ve also planned a multi-year strategic collaboration with Intel &raised $350M+ from Vista Equity Partners, Cambium Capital & T. Rowe Price to scale manufacturing &cloud capacity. Learn more:
0:27

SN50 is here, the fastest chip built for agentic AI. Max speed of up to 5X faster; run agentic AI at a 3X lower cost than GPUs, unlocking cloud-scale inference economics. We’ve also planned a multi-year strategic collaboration with Intel &raised $350M+ from Vista Equity Partners, Cambium Capital & T. Rowe Price to scale manufacturing &cloud capacity. Learn more:

SambaNova

77,847 görüntüleme • 5 ay önce

New short course: Serverless Agentic Workflows with Amazon Bedrock. Learn to build and deploy serverless agents in this course created with Amazon Web Services and taught by Mike G Chambers, a Senior Developer Advocate at AWS specializing in GenAI. (Disclosure: I serve on Amazon's board.) Generative AI applications are becoming more complex, sophisticated, and agentic. Agentic applications have workloads that can be hard to predict in advance -- for example, what tools will it decide to call? -- and a serverless architecture helps you efficiently providing on-demand resources. This course teaches you to build and deploy a serverless agentic application. You’ll learn to create agents with tools, code execution, and guardrails, and build responsible agents for business use cases: - Build a customer service bot for a fictional tea mug business that can answering questions, retrieve information, and process orders. - Connect your customer service agent to a CRM to get customer info and log support tickets in real-time. - Explore how you invoke the agent, and see the trace to review the agent’s thought process and observation loop until it reaches its final output. - Attach a code interpreter to your agent, giving it the ability to perform accurate calculations by writing and running its own Python code. - Implement guardrails to prevent your agent from revealing sensitive information or using inappropriate language. By the end, you will have built a sophisticated AI agent capable of handling real-world customer support scenarios. Please sign up here!
3:02

New short course: Serverless Agentic Workflows with Amazon Bedrock. Learn to build and deploy serverless agents in this course created with Amazon Web Services and taught by Mike G Chambers, a Senior Developer Advocate at AWS specializing in GenAI. (Disclosure: I serve on Amazon's board.) Generative AI applications are becoming more complex, sophisticated, and agentic. Agentic applications have workloads that can be hard to predict in advance -- for example, what tools will it decide to call? -- and a serverless architecture helps you efficiently providing on-demand resources. This course teaches you to build and deploy a serverless agentic application. You’ll learn to create agents with tools, code execution, and guardrails, and build responsible agents for business use cases: - Build a customer service bot for a fictional tea mug business that can answering questions, retrieve information, and process orders. - Connect your customer service agent to a CRM to get customer info and log support tickets in real-time. - Explore how you invoke the agent, and see the trace to review the agent’s thought process and observation loop until it reaches its final output. - Attach a code interpreter to your agent, giving it the ability to perform accurate calculations by writing and running its own Python code. - Implement guardrails to prevent your agent from revealing sensitive information or using inappropriate language. By the end, you will have built a sophisticated AI agent capable of handling real-world customer support scenarios. Please sign up here!

Andrew Ng

81,048 görüntüleme • 1 yıl önce

We are partnering up with zauth to secure the next generation of 3D AI agents. These agents have memory, emotion, voice, and on-chain identity and can be embedded anywhere. These agents use the x402 protocol to make real payments for skills and services. To make this ecosystem production-ready and safe, is teaming up with zauth, the security layer for the agentic internet. Bringing safety and trust to the next wave of 3D AI agents 🔐
0:59

We are partnering up with zauth to secure the next generation of 3D AI agents. These agents have memory, emotion, voice, and on-chain identity and can be embedded anywhere. These agents use the x402 protocol to make real payments for skills and services. To make this ecosystem production-ready and safe, is teaming up with zauth, the security layer for the agentic internet. Bringing safety and trust to the next wave of 3D AI agents 🔐

three.ws

50,968 görüntüleme • 2 ay önce

Today, we’re launching the Parallel Search API, the most accurate web search for AI agents, built using our proprietary web index and retrieval infrastructure. Traditional search ranks URLs for humans to click. AI search needs something different: the right tokens in their context window. Parallel’s Search API is built from the ground up for AI agents, resulting in higher accuracy, lower costs, and lower latency for end-to-end agentic workflows.
1:20

Today, we’re launching the Parallel Search API, the most accurate web search for AI agents, built using our proprietary web index and retrieval infrastructure. Traditional search ranks URLs for humans to click. AI search needs something different: the right tokens in their context window. Parallel’s Search API is built from the ground up for AI agents, resulting in higher accuracy, lower costs, and lower latency for end-to-end agentic workflows.

Parallel Web Systems

669,725 görüntüleme • 9 ay önce

We shipped big changes for Cloudflare Developers AI Search! Every agent needs search and it shouldn't take a week to set up. AI Search is the search primitive for your agents. Create an instance, upload your data, and search it. Comes with hybrid retrieval with vector and BM25.
0:24

We shipped big changes for Cloudflare Developers AI Search! Every agent needs search and it shouldn't take a week to set up. AI Search is the search primitive for your agents. Create an instance, upload your data, and search it. Comes with hybrid retrieval with vector and BM25.

Anni Wang

12,975 görüntüleme • 4 ay önce

New short course on Serverless LLM apps with Amazon Bedrock, taught by Amazon Web Services' Mike G Chambers! A serverless architecture enables you to quickly deploy your applications without needing to set up and manage compute servers to run your applications on, the maintenance of which can be another full-time job. In this course, you’ll learn how to do this by using an event-driven architecture to build complex AI workflows. Mike illustrate these concepts by building a cool application that automatically detects incoming customer inquiries, transcribes them with ASR (automatic speech recognition), summarizes them with an LLM using Bedrock, and deploys serverless with AWS Lambda. I hope this course makes it much easier for you to build and deploy LLM applications requiring multi-step AI workflows. Please sign up here:
3:10

New short course on Serverless LLM apps with Amazon Bedrock, taught by Amazon Web Services' Mike G Chambers! A serverless architecture enables you to quickly deploy your applications without needing to set up and manage compute servers to run your applications on, the maintenance of which can be another full-time job. In this course, you’ll learn how to do this by using an event-driven architecture to build complex AI workflows. Mike illustrate these concepts by building a cool application that automatically detects incoming customer inquiries, transcribes them with ASR (automatic speech recognition), summarizes them with an LLM using Bedrock, and deploys serverless with AWS Lambda. I hope this course makes it much easier for you to build and deploy LLM applications requiring multi-step AI workflows. Please sign up here:

Andrew Ng

108,171 görüntüleme • 2 yıl önce

What could scaling unlock for biology? Introducing ProGen3- our next AI foundation models for protein generation. We develop compute-optimal scaling laws up to 46B parameters on 1.5T tokens with real evidence in the wet lab. +we solve a new set of challenges for drug discovery
2:36

What could scaling unlock for biology? Introducing ProGen3- our next AI foundation models for protein generation. We develop compute-optimal scaling laws up to 46B parameters on 1.5T tokens with real evidence in the wet lab. +we solve a new set of challenges for drug discovery

Ali Madani

80,665 görüntüleme • 1 yıl önce

Introducing the AI Analyst 3.0✨ Since we launched it last year, the Analyst answered more than 300k of your questions and was used by more than 100k people. But many of you asked us for more capabilities: to help you visualize your analysis, enrich your datasets with new columns, format data and more. We packed all of that feedback into today's launch: a new Analyst rebuilt from the ground up to be a smarter, faster and a more versatile data analyst for your spreadsheets. Available today. See it in action 👇
3:10

Introducing the AI Analyst 3.0✨ Since we launched it last year, the Analyst answered more than 300k of your questions and was used by more than 100k people. But many of you asked us for more capabilities: to help you visualize your analysis, enrich your datasets with new columns, format data and more. We packed all of that feedback into today's launch: a new Analyst rebuilt from the ground up to be a smarter, faster and a more versatile data analyst for your spreadsheets. Available today. See it in action 👇

Rows

12,386 görüntüleme • 1 yıl önce

Our collaboration with MPLX allows us to leverage lower-cost local natural gas resources and build the foundation for high-performance, efficient data center campuses, with an initial capacity of ~400 MW and the potential to scale up to ~1.5 GW. MARA CEO Fred Thiel shares more:
0:59

Our collaboration with MPLX allows us to leverage lower-cost local natural gas resources and build the foundation for high-performance, efficient data center campuses, with an initial capacity of ~400 MW and the potential to scale up to ~1.5 GW. MARA CEO Fred Thiel shares more:

MARA

19,356 görüntüleme • 8 ay önce

Yesterday we announced we are joining forces with Stereolabs to accelerate the development of a unified sensing and perception platform for Physical AI We're combining high-resolution digital lidar with stereo cameras and AI compute to offer the first end-to-end sensing and perception stack, enabling machines to sense, think, act, and learn faster and with more precision To the autonomy engineers building the next-generation on Physical AI: we're here to accelerate your development from prototype to production. Welcome to the next chapter of Ouster 🤖
0:37

Yesterday we announced we are joining forces with Stereolabs to accelerate the development of a unified sensing and perception platform for Physical AI We're combining high-resolution digital lidar with stereo cameras and AI compute to offer the first end-to-end sensing and perception stack, enabling machines to sense, think, act, and learn faster and with more precision To the autonomy engineers building the next-generation on Physical AI: we're here to accelerate your development from prototype to production. Welcome to the next chapter of Ouster 🤖

Ouster

14,291 görüntüleme • 6 ay önce

The future of Play is everywhere your users are. 🌍 From app discovery in the Gemini app to agentic catalog management in Play Console, we are giving you the tools to scale faster. We caught up with attendees to get their immediate reactions - watch here! 👇 and learn more:
1:22

The future of Play is everywhere your users are. 🌍 From app discovery in the Gemini app to agentic catalog management in Play Console, we are giving you the tools to scale faster. We caught up with attendees to get their immediate reactions - watch here! 👇 and learn more:

Google Play business community

23,528 görüntüleme • 2 ay önce

The biggest driver of AI compute now is real-world deployment. At NVIDIA GTC, IREN's Kent Draper, alongside Lenovo's Vlad Rozanovich, shared what they’re actually seeing on the ground from AI infrastructure demand, and the signal is coming from enterprise use. He pointed to agents, internal enterprise models, and real-world deployments as the workloads now driving demand, and explained that the challenge isn't finding customers, it’s how quickly they can build capacity to keep up. Their strategy? A vertically integrated model focused entirely on power-dense computing, which allows them to scale faster, control the environment, and deliver infrastructure purpose-built for AI rather than multi-tenant data centers trying to support dozens of different workloads.
1:06

The biggest driver of AI compute now is real-world deployment. At NVIDIA GTC, IREN's Kent Draper, alongside Lenovo's Vlad Rozanovich, shared what they’re actually seeing on the ground from AI infrastructure demand, and the signal is coming from enterprise use. He pointed to agents, internal enterprise models, and real-world deployments as the workloads now driving demand, and explained that the challenge isn't finding customers, it’s how quickly they can build capacity to keep up. Their strategy? A vertically integrated model focused entirely on power-dense computing, which allows them to scale faster, control the environment, and deliver infrastructure purpose-built for AI rather than multi-tenant data centers trying to support dozens of different workloads.

Six Five Media

7,422,478 görüntüleme • 4 ay önce

Huawei Cloud aC8, the latest general computing-plus Elastic Cloud Server (ECS), redefines performance for compute-intensive workloads such as film rendering, gaming, and AI inference. With an impressive capacity of up to 384 vCPUs, aC8 maintains stable performance even under extreme workloads. Built with unmatched scalability and flexibility, aC8 supports dynamic scaling across various deployment forms. Compared to the previous generation, aC8 delivers 25% higher performance and over 50% better cost-effectiveness. aC8 is available in China, Singapore, Thailand, Brazil, and more. Learn more: #HuaweiCloud #ECS #ElasticCloudServer #aC8instances #Techtalk
4:26

Huawei Cloud aC8, the latest general computing-plus Elastic Cloud Server (ECS), redefines performance for compute-intensive workloads such as film rendering, gaming, and AI inference. With an impressive capacity of up to 384 vCPUs, aC8 maintains stable performance even under extreme workloads. Built with unmatched scalability and flexibility, aC8 supports dynamic scaling across various deployment forms. Compared to the previous generation, aC8 delivers 25% higher performance and over 50% better cost-effectiveness. aC8 is available in China, Singapore, Thailand, Brazil, and more. Learn more: #HuaweiCloud #ECS #ElasticCloudServer #aC8instances #Techtalk

Huawei Cloud

21,239 görüntüleme • 1 yıl önce

Amazon Redshift RG, powered by AWS Graviton, deliver better performance - running data warehouse and data lake workloads up to 2.4x as fast as previous generation RA3 at 30% lower cost per vCPU. Run SQL analytics across your data warehouse and data lake from a single engine — including on open formats such as Apache Iceberg and Apache Parquet. Built to meet the demands of today’s analytics and agentic AI workloads.
0:28

Amazon Redshift RG, powered by AWS Graviton, deliver better performance - running data warehouse and data lake workloads up to 2.4x as fast as previous generation RA3 at 30% lower cost per vCPU. Run SQL analytics across your data warehouse and data lake from a single engine — including on open formats such as Apache Iceberg and Apache Parquet. Built to meet the demands of today’s analytics and agentic AI workloads.

Amazon Web Services

13,468 görüntüleme • 3 ay önce

🚀 Here’s more on AgentCore, launched today: If AI agents are going to transform how we work and live, developers need the right set of tools to move them from prototype to production at scale. Today, I'm thrilled to announce Amazon Bedrock AgentCore, a comprehensive set of services to deploy and operate highly capable agents securely at scale. The journey from prototype to production for AI agents has been filled with complex infrastructure challenges. Teams spend months building secure runtime environments, implementing memory systems, and creating monitoring solutions. AgentCore eliminates this undifferentiated heavy lifting, with fully-managed, modular services - providing everything you need to operate trustworthy agents. What makes AgentCore powerful: 🟠 Complete Development Flexibility: Build agents your way using any framework and any model, and work with any protocol (including MCP and A2A) - all while maintaining enterprise-grade security and control 🟠 Purpose-Built Infrastructure: First serverless runtime to offer framework-agnostic flexibility, complete session isolation, and industry-leading 8-hour workload support 🟠 Trust and Reliability: Built on AWS's proven security foundation with built-in identity controls and strict security boundaries for operating agents at scale 🟠 Composable Services: Use exactly what you need independently or together, paying only for what you use as your needs evolve AgentCore represents a significant milestone in our mission to make advanced AI accessible and practical for every organization. Whether you're just starting with AI agents or scaling enterprise-wide implementations, AgentCore gives you the foundation to build with confidence. This is just the beginning of our journey to enable an agentic future. Can't wait to see the transformative solutions you'll build with AgentCore! Bring your AI agents to life at scale – learn more about AgentCore today. Amazon Web Services #AmazonBedrock #AgentCore
1:29

🚀 Here’s more on AgentCore, launched today: If AI agents are going to transform how we work and live, developers need the right set of tools to move them from prototype to production at scale. Today, I'm thrilled to announce Amazon Bedrock AgentCore, a comprehensive set of services to deploy and operate highly capable agents securely at scale. The journey from prototype to production for AI agents has been filled with complex infrastructure challenges. Teams spend months building secure runtime environments, implementing memory systems, and creating monitoring solutions. AgentCore eliminates this undifferentiated heavy lifting, with fully-managed, modular services - providing everything you need to operate trustworthy agents. What makes AgentCore powerful: 🟠 Complete Development Flexibility: Build agents your way using any framework and any model, and work with any protocol (including MCP and A2A) - all while maintaining enterprise-grade security and control 🟠 Purpose-Built Infrastructure: First serverless runtime to offer framework-agnostic flexibility, complete session isolation, and industry-leading 8-hour workload support 🟠 Trust and Reliability: Built on AWS's proven security foundation with built-in identity controls and strict security boundaries for operating agents at scale 🟠 Composable Services: Use exactly what you need independently or together, paying only for what you use as your needs evolve AgentCore represents a significant milestone in our mission to make advanced AI accessible and practical for every organization. Whether you're just starting with AI agents or scaling enterprise-wide implementations, AgentCore gives you the foundation to build with confidence. This is just the beginning of our journey to enable an agentic future. Can't wait to see the transformative solutions you'll build with AgentCore! Bring your AI agents to life at scale – learn more about AgentCore today. Amazon Web Services #AmazonBedrock #AgentCore

Swami Sivasubramanian

11,646 görüntüleme • 1 yıl önce

⚡️We are excited to announce that our new no-code Enterprise Platform is NOW available in private beta! As RAG apps advance from prototype to production we’ve been overwhelmed by requests for an enterprise grade solution to provide these applications with the data they need. Designed to make it easy to get your data #RAGready, our Platform can preprocess more than 25 file types and soon will be fully #multimodal, also able to ingest audio, video and image files. We ship with a baseline suite of source connectors, including Amazon Web Services S3, Microsoft Azure Blob Storage, OneDrive, SFTP, Databricks Delta Table, Google Drive, Salesforce, Elastic, OpenSearch, and Google Cloud storage with many more fast following. Platform transforms your documents into a standardized JSON schema, broken down into semantically coherent elements allowing you to reconstruct your document in the manner most useful to you. Want only the narrative text but not the headers and footers? This is entirely configurable through the UI. Additionally, we generate more than 30 types of metadata for each element to make it easy to curate the data being written downstream and to support metadata filtering during retrieval. Smart chunking and the ability to choose from a range of embedding models are in from launch, delivering a turnkey solution for chunk and embedding experimentation. As for destination connectors, we've got that covered too, with Amazon Web Services S3, Pinecone, Chroma , Weaviate AI Database, Google Cloud storage, MongoDB, Microsoft Azure cognitive search, PostgreSQL, Elastic, OpenSearch, and Databricks Delta Table. And of course, all of this can be scheduled to keep your data continuously hydrated. The private-beta is live today! Sign-up to get access and come build the future of LLM data foundations with us: 🚀 #ETLforLLMs #AI #DataPreprocessing #DataScience #DataTransformation #LLMs #ETL #ML #PreppingData #MachineLearning #RAG #Engineer #Unstructured #Unstructuredio #RetrievalAugmentedGeneration #multimodal #AIJobs
1:00

⚡️We are excited to announce that our new no-code Enterprise Platform is NOW available in private beta! As RAG apps advance from prototype to production we’ve been overwhelmed by requests for an enterprise grade solution to provide these applications with the data they need. Designed to make it easy to get your data #RAGready, our Platform can preprocess more than 25 file types and soon will be fully #multimodal, also able to ingest audio, video and image files. We ship with a baseline suite of source connectors, including Amazon Web Services S3, Microsoft Azure Blob Storage, OneDrive, SFTP, Databricks Delta Table, Google Drive, Salesforce, Elastic, OpenSearch, and Google Cloud storage with many more fast following. Platform transforms your documents into a standardized JSON schema, broken down into semantically coherent elements allowing you to reconstruct your document in the manner most useful to you. Want only the narrative text but not the headers and footers? This is entirely configurable through the UI. Additionally, we generate more than 30 types of metadata for each element to make it easy to curate the data being written downstream and to support metadata filtering during retrieval. Smart chunking and the ability to choose from a range of embedding models are in from launch, delivering a turnkey solution for chunk and embedding experimentation. As for destination connectors, we've got that covered too, with Amazon Web Services S3, Pinecone, Chroma , Weaviate AI Database, Google Cloud storage, MongoDB, Microsoft Azure cognitive search, PostgreSQL, Elastic, OpenSearch, and Databricks Delta Table. And of course, all of this can be scheduled to keep your data continuously hydrated. The private-beta is live today! Sign-up to get access and come build the future of LLM data foundations with us: 🚀 #ETLforLLMs #AI #DataPreprocessing #DataScience #DataTransformation #LLMs #ETL #ML #PreppingData #MachineLearning #RAG #Engineer #Unstructured #Unstructuredio #RetrievalAugmentedGeneration #multimodal #AIJobs

Unstructured

21,874 görüntüleme • 2 yıl önce

Here’s our opportunity…. Flu cases are up from the year before. Cost Plus Drugs is partnering with Genentech to help expand access to XOFLUZA, with clear, upfront pricing at $50 for eligible patients. ➕ ➡️ Visit to sign up and learn more. ℹ️ ​​Prescribing Information: 📣Ad brought to you by Genentech, in partnership with Cost Plus Drugs
1:39

Here’s our opportunity…. Flu cases are up from the year before. Cost Plus Drugs is partnering with Genentech to help expand access to XOFLUZA, with clear, upfront pricing at $50 for eligible patients. ➕ ➡️ Visit to sign up and learn more. ℹ️ ​​Prescribing Information: 📣Ad brought to you by Genentech, in partnership with Cost Plus Drugs

Mark Cuban Cost Plus Drug Company

42,884 görüntüleme • 6 ay önce