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Open source like DeepSeek doesn’t shrink markets. It grows them. Faster, cheaper training means rising inference demand and a new era of AI hardware.

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32,930 просмотров • 1 год назад •via X (Twitter)

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Фото профиля Corry Smith
Corry Smith1 год назад

Deep Seek is powered by communist China.

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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.
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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.

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What is AI inference engineering, why is it such an in-demand skill, and how do you break into the field? With author of Inference Engineering Philip Kiely and head of training at Baseten Charlie O'Neill 0:00: What is inference? 2:47: History of inference 4:59: Downstream effects of AI research on inference 13:54: What you'll learn from Inference Engineering 16:14: Advice for engineers transitioning into AI 19:00: Open source models driving inference growth 20:55: Specialization vs. frontier closed models 23:51: "Big Token" and the importance of open source AI 27:18: Where to get Inference Engineering
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What is AI inference engineering, why is it such an in-demand skill, and how do you break into the field? With author of Inference Engineering Philip Kiely and head of training at Baseten Charlie O'Neill 0:00: What is inference? 2:47: History of inference 4:59: Downstream effects of AI research on inference 13:54: What you'll learn from Inference Engineering 16:14: Advice for engineers transitioning into AI 19:00: Open source models driving inference growth 20:55: Specialization vs. frontier closed models 23:51: "Big Token" and the importance of open source AI 27:18: Where to get Inference Engineering

Madison Kanna

119,268 просмотров • 2 месяцев назад

President Trump says China's DeepSeek R1 AI model is a "wake-up call" for American companies but it is a good thing for faster and cheaper methods of AI to be developed #DeepSeekR1 #DeepSeek
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President Trump says China's DeepSeek R1 AI model is a "wake-up call" for American companies but it is a good thing for faster and cheaper methods of AI to be developed #DeepSeekR1 #DeepSeek

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11,561 просмотров • 1 год назад

"DeepSeek is great news for open source AI." Mistral CEO Arthur Mensch tells @tommackenzietv that open source models is making artificial intelligence "much cheaper" and easier for competition
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"DeepSeek is great news for open source AI." Mistral CEO Arthur Mensch tells @tommackenzietv that open source models is making artificial intelligence "much cheaper" and easier for competition

Bloomberg

33,065 просмотров • 1 год назад

President Trump says China's DeepSeek AI model is a "wake-up call" for American companies but it is a good thing for faster and cheaper methods of AI to be developed
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President Trump says China's DeepSeek AI model is a "wake-up call" for American companies but it is a good thing for faster and cheaper methods of AI to be developed

Tsarathustra

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I spent my summer building TinyTPU : An open source ML inference and training chip. it can do end to end inference + training ENTIRELY on chip. here's how I did it👇:
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I spent my summer building TinyTPU : An open source ML inference and training chip. it can do end to end inference + training ENTIRELY on chip. here's how I did it👇:

surya

354,929 просмотров • 10 месяцев назад

Our first open-source release. YOLO26-MLX, native YOLO26 on Apple Silicon. No PyTorch. No external GPU. Up to 2.6x faster inference. Up to 1.7x faster training. Accuracy within 0.2% of official results. It won't be the last.
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Our first open-source release. YOLO26-MLX, native YOLO26 on Apple Silicon. No PyTorch. No external GPU. Up to 2.6x faster inference. Up to 1.7x faster training. Accuracy within 0.2% of official results. It won't be the last.

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Figma CEO Dylan Field says we're seeing Jevons Paradox applied to creative work. As AI makes execution cheaper and faster, the demand for truly great, novel design doesn't shrink; it explodes. And he says "It's leading to a talent war for top designers."
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Figma CEO Dylan Field says we're seeing Jevons Paradox applied to creative work. As AI makes execution cheaper and faster, the demand for truly great, novel design doesn't shrink; it explodes. And he says "It's leading to a talent war for top designers."

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58,893 просмотров • 8 месяцев назад

BOOM! Starting today you can use open source frontier LLMs in Visual Studio Code with HF Inference Providers! 🔥 Use your inference credits on SoTA llms like GLM 4.5, Qwen3 Coder, DeepSeek 3.1 and more All of it packaged in one simple extension - try it out today 🤗
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BOOM! Starting today you can use open source frontier LLMs in Visual Studio Code with HF Inference Providers! 🔥 Use your inference credits on SoTA llms like GLM 4.5, Qwen3 Coder, DeepSeek 3.1 and more All of it packaged in one simple extension - try it out today 🤗

Vaibhav (VB) Srivastav

41,185 просмотров • 9 месяцев назад

"The inflection point for inference has arrived." — Jensen Huang, Founder & CEO of NVIDIA We’ve officially crossed a new milestone in the inference era — where widespread adoption of AI shifts from learning to doing. The breakthrough: extreme codesign across hardware and software driving down cost per token. Lower cost → more inference More inference → more users and applications More users and applications → exponential AI revenue growth
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"The inflection point for inference has arrived." — Jensen Huang, Founder & CEO of NVIDIA We’ve officially crossed a new milestone in the inference era — where widespread adoption of AI shifts from learning to doing. The breakthrough: extreme codesign across hardware and software driving down cost per token. Lower cost → more inference More inference → more users and applications More users and applications → exponential AI revenue growth

NVIDIA

81,778 просмотров • 2 месяцев назад

From training to inference at massive scale, delivering on the promise of AI depends on collaboration across open hardware and software. AMD and OpenAI are working together to tailor hardware like Instinct MI455X and Helios for where AI workloads are going, not just where they are today. Greg Brockman (Greg Brockman) on the power of our engineering partnership at #CES2026.
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From training to inference at massive scale, delivering on the promise of AI depends on collaboration across open hardware and software. AMD and OpenAI are working together to tailor hardware like Instinct MI455X and Helios for where AI workloads are going, not just where they are today. Greg Brockman (Greg Brockman) on the power of our engineering partnership at #CES2026.

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19,984 просмотров • 5 месяцев назад

BG2. Ep 17. Double $NVDA! System Level Comp Moat, “Insane Demand”, Inference Explosion 1 B x, Memphis Supercluster, OpenAI, & more. Brad Gerstner Clark Tang Bill Gurley (00:00) Intro (1:50) The Evolution of AGI and Personal Assistants (06:03) NVIDIA's Competitive Moat (15:51 ) The Future of Inference and Training in AI (19:01) Building the AI Infrastructure (31:35) Inventing a New Market in an AI Future (38:40) The Impact of OpenAI (43:25) The Future of AI Models (46.44) and Memphis Supercluster (51:21) Distributed Computing and Inference Scaling (55:54) Inference Time Reasoning and Its Importance (01:00:46) AI's Role in Growing Business and Improving Productivity (01:08:00) Ensuring Safe AI Development (01:12:31) The Balance of Open Source and Closed Source AI
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BG2. Ep 17. Double $NVDA! System Level Comp Moat, “Insane Demand”, Inference Explosion 1 B x, Memphis Supercluster, OpenAI, & more. Brad Gerstner Clark Tang Bill Gurley (00:00) Intro (1:50) The Evolution of AGI and Personal Assistants (06:03) NVIDIA's Competitive Moat (15:51 ) The Future of Inference and Training in AI (19:01) Building the AI Infrastructure (31:35) Inventing a New Market in an AI Future (38:40) The Impact of OpenAI (43:25) The Future of AI Models (46.44) and Memphis Supercluster (51:21) Distributed Computing and Inference Scaling (55:54) Inference Time Reasoning and Its Importance (01:00:46) AI's Role in Growing Business and Improving Productivity (01:08:00) Ensuring Safe AI Development (01:12:31) The Balance of Open Source and Closed Source AI

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487,379 просмотров • 1 год назад

DeepSeek R1 671B running on 2 M2 Ultras faster than reading speed. Getting close to open-source O1, at home, on consumer hardware. With mlx.distributed and mlx-lm, 3-bit quantization (~4 bpw)
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DeepSeek R1 671B running on 2 M2 Ultras faster than reading speed. Getting close to open-source O1, at home, on consumer hardware. With mlx.distributed and mlx-lm, 3-bit quantization (~4 bpw)

Awni Hannun

865,941 просмотров • 1 год назад

briefly chatting on Bloomberg earlier today about DeepSeek and open-source AI
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briefly chatting on Bloomberg earlier today about DeepSeek and open-source AI

Thomas Wolf

26,337 просмотров • 1 год назад

Here is a sample of how FREE OPEN SOURCE DeepSeek R1 “thinks” with the right SuperPrompts. This is an AI model SHOWING you the actual thought process of making a PacMan game. This went on for quite a while and it made a PyGame PacMan. This is a new era.
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Here is a sample of how FREE OPEN SOURCE DeepSeek R1 “thinks” with the right SuperPrompts. This is an AI model SHOWING you the actual thought process of making a PacMan game. This went on for quite a while and it made a PyGame PacMan. This is a new era.

Brian Roemmele

115,831 просмотров • 1 год назад

DeepSeek dropped a massive new AI tool and almost nobody noticed. It’s called DeepSeek OCR. Here’s why it’s wild. It can read documents with 97% accuracy. While compressing them up to 10× smaller. And the craziest part? It’s completely free and open source. The GitHub repo is already live and you can download it right now. This might quietly become one of the most useful AI tools of the year.
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DeepSeek dropped a massive new AI tool and almost nobody noticed. It’s called DeepSeek OCR. Here’s why it’s wild. It can read documents with 97% accuracy. While compressing them up to 10× smaller. And the craziest part? It’s completely free and open source. The GitHub repo is already live and you can download it right now. This might quietly become one of the most useful AI tools of the year.

Julian Goldie SEO

15,306 просмотров • 3 месяцев назад

⚡️Today marks a big milestone for Nebius. We’re launching Nebius Token Factory, the evolution of Nebius AI Studio, built to make open-source AI production-grade. Token Factory transforms raw open models into governed, scalable systems with dedicated inference, sub-second latency, 99.9% uptime and zero-retention compliance. It’s where inference, post-training and governance converge, turning raw compute into reliable intelligence. Run AI inference at scale:
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⚡️Today marks a big milestone for Nebius. We’re launching Nebius Token Factory, the evolution of Nebius AI Studio, built to make open-source AI production-grade. Token Factory transforms raw open models into governed, scalable systems with dedicated inference, sub-second latency, 99.9% uptime and zero-retention compliance. It’s where inference, post-training and governance converge, turning raw compute into reliable intelligence. Run AI inference at scale:

Nebius Token Factory

259,764 просмотров • 7 месяцев назад

AkashML is live! A fully managed AI inference service on Akash Network. Deploying open models like DeepSeek shouldn’t cost $50K/month or require complex setup. AkashML makes inference simple, affordable, and automatic, so developers can run AI workloads on decentralized GPUs with ease. Try it out here 👇 Read More about it Here 👇
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AkashML is live! A fully managed AI inference service on Akash Network. Deploying open models like DeepSeek shouldn’t cost $50K/month or require complex setup. AkashML makes inference simple, affordable, and automatic, so developers can run AI workloads on decentralized GPUs with ease. Try it out here 👇 Read More about it Here 👇

Akash Network

37,017 просмотров • 7 месяцев назад