Загрузка видео...

Не удалось загрузить видео

На главную

We think #GenAI will transform virtually every customer experience. That’s why we’re doubling down on all three layers of what’s called the GenAI “stack.” What do we mean by stack? Simple. Three layers, bottom to top. The “bottom layer” means the infrastructure. Think chips, servers, networking – the software,...

amazon's profile picture

Amazon

5,918,580 subscribers

47,421 просмотров • 2 лет назад •via X (Twitter)

#GenAI
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 6

Фото профиля Amazon
Amazon2 лет назад

⬇️ Read more about Amazon's AI leadership:

Фото профиля Amy Shannon
Amy Shannon2 лет назад

My goodness… I buy stuff from you and then I find out this company is antisemite. Disgusting!

Фото профиля Naturalized Deer 🇮🇱
Naturalized Deer 🇮🇱2 лет назад

@ajassy your employees mocking hostages. In Arabic Hudhaifa wrote: "She went to bring her father's drum and came back pregnant. -- Egyptian proverb" This is beyond disgusting.

Фото профиля Anita C BRENG ZE THUIS 🇮🇱 🎗️
Anita C BRENG ZE THUIS 🇮🇱 🎗️2 лет назад

Bring him home!!!

Фото профиля Ellakay
Ellakay2 лет назад

You guys temporarily locked my account for no reason and no way of contacting customer service and I think it’s high time I give up on Amazon

Фото профиля UAPKer
UAPKer2 лет назад

WTF? Does my family need to stop ordering from Amazon every day?

Похожие видео

The AI economy is not just software. It is energy. Chips. Infrastructure. Models. Applications. And every layer needs people to build it. At NVIDIA’s Five-Layer AI event, co-founder Chris Malachowsky, former secretary of commerce Gina Raimondo and Mike Rowe discussed why the future of AI means opportunity for workers across the entire stack.
0:45

The AI economy is not just software. It is energy. Chips. Infrastructure. Models. Applications. And every layer needs people to build it. At NVIDIA’s Five-Layer AI event, co-founder Chris Malachowsky, former secretary of commerce Gina Raimondo and Mike Rowe discussed why the future of AI means opportunity for workers across the entire stack.

NVIDIA

27,633 просмотров • 3 месяцев назад

Jensen Huang describes AI as a five layer cake. Energy→Chips→Infrastructure→Models→Applications The companies owning the most layers win long term. Brett Winton explains how Anthropic and OpenAI are moving up the stack in "The Brainstorm."
1:22

Jensen Huang describes AI as a five layer cake. Energy→Chips→Infrastructure→Models→Applications The companies owning the most layers win long term. Brett Winton explains how Anthropic and OpenAI are moving up the stack in "The Brainstorm."

ARK Invest

18,005 просмотров • 1 месяц 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

We just launched some exciting new #GenAI tools to accelerate seller growth and enhance the customer shopping experience. What are they? First up is Project Amelia, a GenAI assistant that acts as a personal Amazon expert and partner to sellers, is in beta to an initial set of U.S.-based sellers. Project Amelia learns seller’s unique businesses and provides immediate access to tools and services they use every day, in addition to tons of personalized recs and insights.
0:50

We just launched some exciting new #GenAI tools to accelerate seller growth and enhance the customer shopping experience. What are they? First up is Project Amelia, a GenAI assistant that acts as a personal Amazon expert and partner to sellers, is in beta to an initial set of U.S.-based sellers. Project Amelia learns seller’s unique businesses and provides immediate access to tools and services they use every day, in addition to tons of personalized recs and insights.

Amazon

40,671 просмотров • 1 год назад

Our co-founder Pratyush Kumar highlighted Sarvam's "contrarian bet" of being a full-stack AI platform. That means we build every layer: the models, how they run (inference), how agents work with each other (orchestration), and the AI applications people use. This lets us build AI that actually works for India's unique context and diverse language needs.
1:30

Our co-founder Pratyush Kumar highlighted Sarvam's "contrarian bet" of being a full-stack AI platform. That means we build every layer: the models, how they run (inference), how agents work with each other (orchestration), and the AI applications people use. This lets us build AI that actually works for India's unique context and diverse language needs.

Sarvam AI

16,310 просмотров • 6 месяцев 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

We’re excited to partner with OpenAI to launch their new open source models natively on Databricks! gpt-oss sets a new standard of quality for open language models, supporting advanced reasoning with the transparency, flexibility and control enterprises need. Running on Databricks, the gpt-oss models connect securely to your data and scale with built-in governance, and expand what you can build and do with GenAI. Try both the 20B and 120B today in the Mosaic AI Playground.
0:39

We’re excited to partner with OpenAI to launch their new open source models natively on Databricks! gpt-oss sets a new standard of quality for open language models, supporting advanced reasoning with the transparency, flexibility and control enterprises need. Running on Databricks, the gpt-oss models connect securely to your data and scale with built-in governance, and expand what you can build and do with GenAI. Try both the 20B and 120B today in the Mosaic AI Playground.

Databricks

10,068 просмотров • 10 месяцев назад

Today, we’re open-sourcing Agentex, the agentic infrastructure layer in the Scale GenAI Platform. Built for developers everywhere, Agentex gives the community transparency and control to help shape what the future of agent infrastructure looks like.
1:35

Today, we’re open-sourcing Agentex, the agentic infrastructure layer in the Scale GenAI Platform. Built for developers everywhere, Agentex gives the community transparency and control to help shape what the future of agent infrastructure looks like.

Scale AI

25,779 просмотров • 7 месяцев назад

Bharat is investing across the full AI value chain! ➡️From applications & models to semiconductor chips, data centres, and energy - every layer of the AI stack is being strengthened. 📍Rajasthan Regional AI Impact Conference 2026
1:35

Bharat is investing across the full AI value chain! ➡️From applications & models to semiconductor chips, data centres, and energy - every layer of the AI stack is being strengthened. 📍Rajasthan Regional AI Impact Conference 2026

Ashwini Vaishnaw

43,069 просмотров • 5 месяцев назад

Today we’re proud to announce our partnership between Luma and Amazon. It begins with bringing Luma’s next generation of creative intelligence models to Amazon Bedrock—a secure, scalable environment in AWS. Together, we’re delivering GenAI to startups and enterprises everywhere.
1:18

Today we’re proud to announce our partnership between Luma and Amazon. It begins with bringing Luma’s next generation of creative intelligence models to Amazon Bedrock—a secure, scalable environment in AWS. Together, we’re delivering GenAI to startups and enterprises everywhere.

Luma

93,143 просмотров • 1 год назад

We asked James Wang why Cerebras can run large models so quickly. His answer: Inference speed is mostly a memory problem. Instead of constantly pulling weights from external memory, Cerebras splits the model across multiple wafers and pipelines the layers together. “Inference is all about memory bandwidth.” “You don’t want to store weights external to the wafer, because the second it’s outside, it becomes much slower.” “We put the weights on the inside.” “The team built a new software stack that basically lets us split the models by layer and store them layer by layer across multiple wafers.” “That allows us to never have to read from external memory, and that’s what makes it so fast.” “For context, Claude is about 100 tokens per second.”
1:31

We asked James Wang why Cerebras can run large models so quickly. His answer: Inference speed is mostly a memory problem. Instead of constantly pulling weights from external memory, Cerebras splits the model across multiple wafers and pipelines the layers together. “Inference is all about memory bandwidth.” “You don’t want to store weights external to the wafer, because the second it’s outside, it becomes much slower.” “We put the weights on the inside.” “The team built a new software stack that basically lets us split the models by layer and store them layer by layer across multiple wafers.” “That allows us to never have to read from external memory, and that’s what makes it so fast.” “For context, Claude is about 100 tokens per second.”

MTS

27,827 просмотров • 26 дней назад

“These models and applications are very power hungry, but there are things we can do together.” – Amazon CEO Andy Jassy on offsetting the energy impacts of Gen AI to remain power performant. Listen to find out 👇 : Why using Amazon Web Services is more energy efficient than on-premises Why Tranium helps (by nearly 30%!) Why Inferentia is so much more energy efficient What we’re doing about our 2030 water promise
1:51

“These models and applications are very power hungry, but there are things we can do together.” – Amazon CEO Andy Jassy on offsetting the energy impacts of Gen AI to remain power performant. Listen to find out 👇 : Why using Amazon Web Services is more energy efficient than on-premises Why Tranium helps (by nearly 30%!) Why Inferentia is so much more energy efficient What we’re doing about our 2030 water promise

Amazon

46,582 просмотров • 1 год 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

105,276 просмотров • 2 лет назад

Excited to be with the team in NYC today rolling out the new Alexa+. Across Amazon, we’re harnessing the transformative power of GenAI to reimagine the experiences we offer customers, and Alexa+ is the latest example. She’s smarter, more capable, more personalized, and unlike chatbots, also takes action to help you get things done—which is at the heart of our mission at Amazon to make customers’ lives better and easier every day. Can’t wait to get Alexa+ into the hands of customers.
1:14

Excited to be with the team in NYC today rolling out the new Alexa+. Across Amazon, we’re harnessing the transformative power of GenAI to reimagine the experiences we offer customers, and Alexa+ is the latest example. She’s smarter, more capable, more personalized, and unlike chatbots, also takes action to help you get things done—which is at the heart of our mission at Amazon to make customers’ lives better and easier every day. Can’t wait to get Alexa+ into the hands of customers.

Andy Jassy

107,793 просмотров • 1 год назад

Meet #DBRX: a general-purpose LLM that sets a new standard for efficient open source models. Use the DBRX model in your RAG apps or use the DBRX design to build your own custom LLMs and improve the quality of your GenAI applications.
0:20

Meet #DBRX: a general-purpose LLM that sets a new standard for efficient open source models. Use the DBRX model in your RAG apps or use the DBRX design to build your own custom LLMs and improve the quality of your GenAI applications.

Databricks

327,704 просмотров • 2 лет назад

🚨 Big news for AI innovation: Claude Opus 4 and Claude Sonnet 4, Anthropic's most advanced models, are now available in Amazon Bedrock. These powerful models offer hybrid reasoning, 200K token context windows, and are designed for AI agents. From financial analysis to high-quality writing, to enhanced reasoning, coding, agentic capabilities and more—all with the enterprise-grade security of Amazon Web Services.
0:30

🚨 Big news for AI innovation: Claude Opus 4 and Claude Sonnet 4, Anthropic's most advanced models, are now available in Amazon Bedrock. These powerful models offer hybrid reasoning, 200K token context windows, and are designed for AI agents. From financial analysis to high-quality writing, to enhanced reasoning, coding, agentic capabilities and more—all with the enterprise-grade security of Amazon Web Services.

Amazon

123,024 просмотров • 1 год назад

AI investment is expanding beyond models and applications into the full stack that supports them. Energy capacity, semiconductor supply, compute infrastructure, and software layers are becoming more connected, influencing how and where AI can be built and deployed. In partnership with NVIDIA, The Futurum Group examines the Five Layers of the AI Cake framework as a way to understand the structure of the AI economy. The market brief outlines how value is distributed across the stack, where bottlenecks are forming, and what these dynamics mean for enterprise strategy, capital allocation, workforce planning, and global competitiveness. ⏯️ Explore the key findings, and use the link to download the full report: 👉 #AIInfrastructure #NVIDIA #Futurum
1:12

AI investment is expanding beyond models and applications into the full stack that supports them. Energy capacity, semiconductor supply, compute infrastructure, and software layers are becoming more connected, influencing how and where AI can be built and deployed. In partnership with NVIDIA, The Futurum Group examines the Five Layers of the AI Cake framework as a way to understand the structure of the AI economy. The market brief outlines how value is distributed across the stack, where bottlenecks are forming, and what these dynamics mean for enterprise strategy, capital allocation, workforce planning, and global competitiveness. ⏯️ Explore the key findings, and use the link to download the full report: 👉 #AIInfrastructure #NVIDIA #Futurum

The Futurum Group

75,859 просмотров • 1 месяц назад

"We want to make sure that the US is the partner of choice for the AI stack." "We have the best chips in the world, the best models in the world, a competitive ecosystem, and the best applications in the world." "We want to create something that is so compelling and so exciting for governments and people all around the world that they will want to use our technology." - Director Michael Kratsios
2:28

"We want to make sure that the US is the partner of choice for the AI stack." "We have the best chips in the world, the best models in the world, a competitive ecosystem, and the best applications in the world." "We want to create something that is so compelling and so exciting for governments and people all around the world that they will want to use our technology." - Director Michael Kratsios

TBPN

10,386 просмотров • 6 месяцев назад

Chips are the foundation of every AI experience. That's why understanding the hardware behind the software has never mattered more. When you ask a chatbot a question or generate an image, there's a physical chip somewhere doing the heavy lifting. For most of computing history, that was a CPU—the "brain" of a computer—great for general tasks needed to run software and operating systems. AI is more complex: for workloads called training and inference, AI needs to perform trillions of calculations in parallel. That's where AI accelerators come in. Purpose-built accelerators can deliver significantly better performance and efficiency than general-purpose chips. Amazon Web Services Trainium chips are an example—purpose-built for AI training and inference. New chips for a new era. ⬇️
0:43

Chips are the foundation of every AI experience. That's why understanding the hardware behind the software has never mattered more. When you ask a chatbot a question or generate an image, there's a physical chip somewhere doing the heavy lifting. For most of computing history, that was a CPU—the "brain" of a computer—great for general tasks needed to run software and operating systems. AI is more complex: for workloads called training and inference, AI needs to perform trillions of calculations in parallel. That's where AI accelerators come in. Purpose-built accelerators can deliver significantly better performance and efficiency than general-purpose chips. Amazon Web Services Trainium chips are an example—purpose-built for AI training and inference. New chips for a new era. ⬇️

Amazon

27,151 просмотров • 19 дней назад

As AI becomes more capable and agentic, models themselves become more of a commodity, and all value gets created by how you steer, ground, and finetune these models with your business data and workflow — and how they compose with the UI layer of human to AI to human interaction. That’s why today we are announcing wave two of Microsoft 365 Copilot.
0:42

As AI becomes more capable and agentic, models themselves become more of a commodity, and all value gets created by how you steer, ground, and finetune these models with your business data and workflow — and how they compose with the UI layer of human to AI to human interaction. That’s why today we are announcing wave two of Microsoft 365 Copilot.

Satya Nadella

624,234 просмотров • 1 год назад