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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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The Linux Foundation

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32,930 views • 1 year ago •via X (Twitter)

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Corry Smith1 year ago

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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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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"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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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

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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👇:

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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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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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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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41,185 views • 9 months ago

"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

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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

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26,337 views • 1 year ago

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.

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115,831 views • 1 year ago

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.

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15,310 views • 3 months ago

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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:

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259,764 views • 7 months ago

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 👇

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37,017 views • 7 months ago