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✨ Personal AI is the next computing platform. AI is shifting from something you access to something you build with, locally, at the edge, and across systems. We’re unlocking new possibilities for developers: • AMD Ryzen AI Halo, a local-first developer system, preorder starting in June, develop AI without...

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Jack Huynh

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47,392 次观看 • 1 个月前 •via X (Twitter)

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The ultimate local AI developer platform is here. AMD Ryzen AI Halo presale is now live! Built for #AMDevs, Ryzen AI Halo delivers the performance, memory, and AI capabilities needed to build, test, and run agentic AI, generative AI, LLM applications, and more locally. Reserve yours now:
1:24

The ultimate local AI developer platform is here. AMD Ryzen AI Halo presale is now live! Built for #AMDevs, Ryzen AI Halo delivers the performance, memory, and AI capabilities needed to build, test, and run agentic AI, generative AI, LLM applications, and more locally. Reserve yours now:

AI at AMD

19,309 次观看 • 12 天前

Introducing AMD Ryzen AI Halo, an Agent Computer built to make local AI development fast and simple. • Ryzen AI Developer Center pre-installed • Pre-optimized from first power on • Built to reduce setup friction • Designed for local AI development AMD Ryzen AI Halo brings AI from the cloud into the hands of developers with Ryzen AI developer center pre-installed and optimized from first power on, developers can hit the ground running.
1:07

Introducing AMD Ryzen AI Halo, an Agent Computer built to make local AI development fast and simple. • Ryzen AI Developer Center pre-installed • Pre-optimized from first power on • Built to reduce setup friction • Designed for local AI development AMD Ryzen AI Halo brings AI from the cloud into the hands of developers with Ryzen AI developer center pre-installed and optimized from first power on, developers can hit the ground running.

AMD

25,880 次观看 • 25 天前

💥AI is no longer confined to the cloud. At Computex, Jack Huynh showcased the AMD Ryzen AI Halo and Ryzen AI Max PRO 400 Series processors. The next wave of innovation will be built, trained, and run locally. As AI evolves from chatbots to intelligent agents, developers and enterprises need the performance, memory capacity, and flexibility to bring these experiences to life directly on the device. ⚡ Ryzen AI Halo enables local AI development with support for models up to 200B parameters, up to 128GB of unified memory, ROCm optimization, and Windows + Linux support. ⚡ Ryzen AI Max PRO 400 Series combines AI, graphics, and compute in a single architecture, delivering workstation-class performance for next-gen Agent Computers and AI PCs. Some of the most impactful AI experiences will happen right at your desk, where latency, privacy, and control matter most. We're just getting started.
1:24

💥AI is no longer confined to the cloud. At Computex, Jack Huynh showcased the AMD Ryzen AI Halo and Ryzen AI Max PRO 400 Series processors. The next wave of innovation will be built, trained, and run locally. As AI evolves from chatbots to intelligent agents, developers and enterprises need the performance, memory capacity, and flexibility to bring these experiences to life directly on the device. ⚡ Ryzen AI Halo enables local AI development with support for models up to 200B parameters, up to 128GB of unified memory, ROCm optimization, and Windows + Linux support. ⚡ Ryzen AI Max PRO 400 Series combines AI, graphics, and compute in a single architecture, delivering workstation-class performance for next-gen Agent Computers and AI PCs. Some of the most impactful AI experiences will happen right at your desk, where latency, privacy, and control matter most. We're just getting started.

AMD

23,943 次观看 • 19 天前

AMD Ryzen AI Max PRO 400 Series processors are coming to Ryzen AI Halo platforms in Q3. Built to support a new class of local AI workloads, Ryzen AI Halo is designed for more agents running in parallel, more intelligence operating locally, and systems that reason and adapt in real time.
0:57

AMD Ryzen AI Max PRO 400 Series processors are coming to Ryzen AI Halo platforms in Q3. Built to support a new class of local AI workloads, Ryzen AI Halo is designed for more agents running in parallel, more intelligence operating locally, and systems that reason and adapt in real time.

AMD Ryzen

51,986 次观看 • 24 天前

“Local AI puts AI builders back in the driver’s seat.” Hugging Face CEO Clem Delangue 🤗 on why local-first AI matters, and how AMD and Hugging Face are helping developers build faster with open-source AI.
1:14

“Local AI puts AI builders back in the driver’s seat.” Hugging Face CEO Clem Delangue 🤗 on why local-first AI matters, and how AMD and Hugging Face are helping developers build faster with open-source AI.

AI at AMD

25,328 次观看 • 24 天前

Introducing AMD Ryzen AI Halo, a mini-PC powered by Ryzen AI Max+ that delivers desktop-class AI compute and integrated graphics for running LLMs locally. ⭐ Ready day one with the latest ROCm software, optimized AI developer workflows, and AI apps and models pre-installed.
1:00

Introducing AMD Ryzen AI Halo, a mini-PC powered by Ryzen AI Max+ that delivers desktop-class AI compute and integrated graphics for running LLMs locally. ⭐ Ready day one with the latest ROCm software, optimized AI developer workflows, and AI apps and models pre-installed.

AMD Ryzen

463,698 次观看 • 5 个月前

WOW! OPENAI DID IT! They released their first TWO open weights models! This is HUGE news for the entire AI industry. It means you can RIGHT NOW run cutting edge AI models locally on your computer Here's all the benefits and how to set up the models locally yourself:
7:40

WOW! OPENAI DID IT! They released their first TWO open weights models! This is HUGE news for the entire AI industry. It means you can RIGHT NOW run cutting edge AI models locally on your computer Here's all the benefits and how to set up the models locally yourself:

Alex Finn

71,875 次观看 • 10 个月前

I'm excited about the new @amd Ryzen AI Halo because we need more local hardware for AI builders! There's something fun and exciting about building on your own machines rather than sending to the cloud! Should we do our own Hugging Face hardware for AI builders at some point?
1:15

I'm excited about the new @amd Ryzen AI Halo because we need more local hardware for AI builders! There's something fun and exciting about building on your own machines rather than sending to the cloud! Should we do our own Hugging Face hardware for AI builders at some point?

clem 🤗

42,302 次观看 • 1 个月前

Hugging Face CEO Clem Delangue predicts that a growing share of AI inference will run locally, on-device. It's faster. Cheaper. Private by default. And as open source AI moves from apps to machines, it could trigger “some sort of ChatGPT moment for robotics.” The next AI breakthrough will happen where intelligence becomes embodied, cheap, private, and open.
1:27

Hugging Face CEO Clem Delangue predicts that a growing share of AI inference will run locally, on-device. It's faster. Cheaper. Private by default. And as open source AI moves from apps to machines, it could trigger “some sort of ChatGPT moment for robotics.” The next AI breakthrough will happen where intelligence becomes embodied, cheap, private, and open.

vitrupo

37,764 次观看 • 1 年前

Agents are scaling. So are the token costs. CIOs are shifting to AI PCs as strategic nodes. Ryzen AI Max 400 series changes the equation with 192GB of memory for local LLMs and agent swarms. You overheard it here first at Computex.
1:29

Agents are scaling. So are the token costs. CIOs are shifting to AI PCs as strategic nodes. Ryzen AI Max 400 series changes the equation with 192GB of memory for local LLMs and agent swarms. You overheard it here first at Computex.

AMD

11,342 次观看 • 13 天前

Jensen Huang says the industry is shifting from generative AI to agentic AI The next major step is fusing public cloud frontier models with customized open-source systems running on enterprise servers But the end goal is physical: "moving intelligence from the cloud into industrial AI, factories and robotics"
1:25

Jensen Huang says the industry is shifting from generative AI to agentic AI The next major step is fusing public cloud frontier models with customized open-source systems running on enterprise servers But the end goal is physical: "moving intelligence from the cloud into industrial AI, factories and robotics"

Haider.

49,411 次观看 • 5 个月前

Atomic Chat is now on Hugging Face 🤗 We're officially a Local App on the world's biggest AI hub. Run 200,000+ open-weight models from Hugging Face directly on your device - private, local, and open source!
0:22

Atomic Chat is now on Hugging Face 🤗 We're officially a Local App on the world's biggest AI hub. Run 200,000+ open-weight models from Hugging Face directly on your device - private, local, and open source!

atomic.chat

27,837 次观看 • 11 天前

Exciting update for AI developers! The Hugging Face Hub is now more natively integrated into Google Cloud Vertex AI Model Garden. Search through thousands of open Generative AI models from Hugging Face models & deploy them with one click to Vertex AI or GKE. 🤯 What's new: 🔎 Browse and search thousands of Hugging Face models directly within the Vertex AI Model Garden and filter based on what is currently trending in the community. 🚀 Accelerate your AI projects by leveraging readily available one-click deploy your model to Vertex AI or Google Kubernetes Engine (GKE). ⭐️ Featuring popular open models from BlackForestLabsAI - Unofficial FLUX.1, AI at Meta Llama 3.1, Mistral AI, Google DeepMind Gemma, and countless others. Get Started:
0:38

Exciting update for AI developers! The Hugging Face Hub is now more natively integrated into Google Cloud Vertex AI Model Garden. Search through thousands of open Generative AI models from Hugging Face models & deploy them with one click to Vertex AI or GKE. 🤯 What's new: 🔎 Browse and search thousands of Hugging Face models directly within the Vertex AI Model Garden and filter based on what is currently trending in the community. 🚀 Accelerate your AI projects by leveraging readily available one-click deploy your model to Vertex AI or Google Kubernetes Engine (GKE). ⭐️ Featuring popular open models from BlackForestLabsAI - Unofficial FLUX.1, AI at Meta Llama 3.1, Mistral AI, Google DeepMind Gemma, and countless others. Get Started:

Philipp Schmid

34,754 次观看 • 1 年前

🌟 Another Epic Sneak Peek: OptimAI Core Node’s Edge AI Computing Power! We’re excited to continue unveiling the upcoming OptimAI Core Node features! This time, we’re introducing Edge AI Computing, a game-changing feature that will make your devices even more powerful in contributing to the OptimAI Network. 🔥 What is Edge AI Computing? With the OptimAI Core Node, your device’s idle computing resources (CPU/GPU) and storage will be put to work, powering critical AI computing tasks, including: 🔸Edge Inference: Running real-time AI predictions directly on your device without sending data to centralized servers. 🔸Hot LLM Models: Accelerating large language models for high-speed NLP tasks. 🔸Generative AI Models and More: Contributing to the training and inference of cutting-edge generative AI, like text-to-image models, deep learning, and more. More Contributions, Bigger Rewards Await! This Edge AI Computing feature allows us to leverage the full potential of decentralized computing power, reducing latency, increasing efficiency, and making AI more accessible. The more you contribute, the bigger the rewards!🔥 Stay in the Loop—Start Today with OptimAI Lite Node! While the OptimAI Core Node is still in the works, you don’t have to wait to join the action. The more you contribute, the greater the rewards! Let’s build a stronger, smarter, and more decentralized AI network together. Stay tuned for more exciting updates! 🔸Extension Node: 🔸Telegram Node: 🔸Register at: #DePIN
0:30

🌟 Another Epic Sneak Peek: OptimAI Core Node’s Edge AI Computing Power! We’re excited to continue unveiling the upcoming OptimAI Core Node features! This time, we’re introducing Edge AI Computing, a game-changing feature that will make your devices even more powerful in contributing to the OptimAI Network. 🔥 What is Edge AI Computing? With the OptimAI Core Node, your device’s idle computing resources (CPU/GPU) and storage will be put to work, powering critical AI computing tasks, including: 🔸Edge Inference: Running real-time AI predictions directly on your device without sending data to centralized servers. 🔸Hot LLM Models: Accelerating large language models for high-speed NLP tasks. 🔸Generative AI Models and More: Contributing to the training and inference of cutting-edge generative AI, like text-to-image models, deep learning, and more. More Contributions, Bigger Rewards Await! This Edge AI Computing feature allows us to leverage the full potential of decentralized computing power, reducing latency, increasing efficiency, and making AI more accessible. The more you contribute, the bigger the rewards!🔥 Stay in the Loop—Start Today with OptimAI Lite Node! While the OptimAI Core Node is still in the works, you don’t have to wait to join the action. The more you contribute, the greater the rewards! Let’s build a stronger, smarter, and more decentralized AI network together. Stay tuned for more exciting updates! 🔸Extension Node: 🔸Telegram Node: 🔸Register at: #DePIN

OptimAI Network

44,109 次观看 • 1 年前

Building the future of AI requires the right foundation. AMD is partnering with Liquid AI to help advance open, efficient AI development. Together, we’re committed to open-source innovation and providing solutions that enable users to keep up with the pace of change. Listen to Liquid AI Co-founder and CEO, Ramin, to hear how progress scales with collaboration.
1:06

Building the future of AI requires the right foundation. AMD is partnering with Liquid AI to help advance open, efficient AI development. Together, we’re committed to open-source innovation and providing solutions that enable users to keep up with the pace of change. Listen to Liquid AI Co-founder and CEO, Ramin, to hear how progress scales with collaboration.

AMD

24,054 次观看 • 4 个月前

The Jetson Nano is designed specifically for AI: It can run AI language models locally - without needing cloud connections. Think of it like a Raspberry Pi specifically optimized for AI applications. This $249 device fundamentally changes how AI will develop:
0:42

The Jetson Nano is designed specifically for AI: It can run AI language models locally - without needing cloud connections. Think of it like a Raspberry Pi specifically optimized for AI applications. This $249 device fundamentally changes how AI will develop:

GC Cooke

126,208 次观看 • 1 年前

📣 OpenAI just dropped their latest open models. AMD offers Day 0 support—fine-tune and run inference from cloud to client with ROCm and Ryzen AI. Dive in →
0:24

📣 OpenAI just dropped their latest open models. AMD offers Day 0 support—fine-tune and run inference from cloud to client with ROCm and Ryzen AI. Dive in →

AI at AMD

28,099 次观看 • 10 个月前

AI answers your questions in seconds, but behind that speed is something called inference—the compute-intensive process where trained models generate responses. At AWS, we've built custom chips like Trainium, intelligent routing systems, and unified infrastructure to make inference faster and more affordable. As AI agents handle complex multi-step tasks, inference accounts for 80-90% of AI computing power. We're engineering at planetary scale to keep those milliseconds reliable.
0:25

AI answers your questions in seconds, but behind that speed is something called inference—the compute-intensive process where trained models generate responses. At AWS, we've built custom chips like Trainium, intelligent routing systems, and unified infrastructure to make inference faster and more affordable. As AI agents handle complex multi-step tasks, inference accounts for 80-90% of AI computing power. We're engineering at planetary scale to keep those milliseconds reliable.

Amazon Web Services

27,021 次观看 • 3 个月前

Bringing AI agents to the PC requires efficiency, speed, and smart memory management. AMD and Liquid AI are partnering to enable foundational models on PCs and end-point devices to address the real-world challenges of running AI agents locally. Liquid AI Co-founder and CEO Ramin explains how we are helping make on-device AI practical and accessible.
0:47

Bringing AI agents to the PC requires efficiency, speed, and smart memory management. AMD and Liquid AI are partnering to enable foundational models on PCs and end-point devices to address the real-world challenges of running AI agents locally. Liquid AI Co-founder and CEO Ramin explains how we are helping make on-device AI practical and accessible.

AMD

20,716 次观看 • 4 个月前

The demand for AI capabilities is outpacing the computational capacity available today. As workloads become more complex, small language models are growing larger, with longer input sequences and rising resource demands. The relentless pursuit of near zero latency is now mission-critical as domain-specific models advance. This challenge inspired us to design something radically different — Strix Halo. In deep co-engineering partnership with HP, we’re incredibly proud to power the new ZBook Ultra G1a, the world’s best mobile workstation, and the Z2 Mini G1a, the world’s best mini workstation. Strix Halo shatters the limits of mobile performance, bringing workstation-level power into thin and light laptops. By unlocking access to 128GB of unified memory between CPU and GPU combined with 256GB/s of memory bandwidth, Strix Halo enables architects, engineers, creatives, and data scientists to tackle massive datasets, complex simulations, and AI workflows without compromise. Strix Halo is the world’s first AI PC processor capable of running 70 billion parameter models. Just five years ago, this kind of inference computing required a room full of servers — today, it fits in your backpack. This is a major step forward in the future of AI PCs. Stay tuned as we continue to break boundaries 🚀 #TogetherWeAdvance AMD
0:58

The demand for AI capabilities is outpacing the computational capacity available today. As workloads become more complex, small language models are growing larger, with longer input sequences and rising resource demands. The relentless pursuit of near zero latency is now mission-critical as domain-specific models advance. This challenge inspired us to design something radically different — Strix Halo. In deep co-engineering partnership with HP, we’re incredibly proud to power the new ZBook Ultra G1a, the world’s best mobile workstation, and the Z2 Mini G1a, the world’s best mini workstation. Strix Halo shatters the limits of mobile performance, bringing workstation-level power into thin and light laptops. By unlocking access to 128GB of unified memory between CPU and GPU combined with 256GB/s of memory bandwidth, Strix Halo enables architects, engineers, creatives, and data scientists to tackle massive datasets, complex simulations, and AI workflows without compromise. Strix Halo is the world’s first AI PC processor capable of running 70 billion parameter models. Just five years ago, this kind of inference computing required a room full of servers — today, it fits in your backpack. This is a major step forward in the future of AI PCs. Stay tuned as we continue to break boundaries 🚀 #TogetherWeAdvance AMD

Jack Huynh

11,960 次观看 • 1 年前