Every week, I organize 400 to 700 links into roughly 60 categories as part of my ongoing effort to learn about AI. This is my personal notebook, which I enjoy sharing with friends… a hobby and a labor of love, rather than a commercial publication or product.
If you arrived here through a search or shared link, this page collects the links I found for NVIDIA for the week ending August 21, 2026.
As part of my learning process, I like to automate the category covers. It gives me a chance to learn Python and APIs.
This week’s cover prompt was written using Claude Opus 4.7, and the image was generated using Nano Banana 2.1.
Category Cover Image Prompt: Bright sunlit architectural photograph of a 1929 Chicago Art Deco limestone skyscraper setback, three identical honey-cream carved herms emerging from vertical piers between dark steel-framed windows, each herm holding a stylized rectangular GPU-board slab against its chest with chevron heat-sink fins and twin rosette fans carved in the same limestone, a stepped lightning-bolt relief on the pier below, the word NVIDIA incised in large Art Deco capitals on a frieze band beneath, deep blue sky, neighboring Deco towers receding, crisp raking shadows, perspective-corrected verticals, realistic architectural photography.
This Week in NVIDIA News
Summary by Claude Sonnet 5.5 based on this week’s links:
- OpenAI's big Nvidia buildout: OpenAI signed for 4+ GW of Nvidia capacity, per a post attributed to Mark Chen, and an ~8 GW Ohio campus under a 20-year SB Energy lease will host only Nvidia compute. Its first Vera Rubin racks are already running its training stack, according to a post from an OpenAI infrastructure lead.
- Nvidia as investor: CNBC argues Nvidia's moat is shifting from chips to capital. The links include Nvidia's up-to-$1 billion Poolside investment and Groq's $350 million raise after its Nvidia deal.
- Software and models: Nvidia released TensorRT Model Connect in public preview, taking a supported Hugging Face model to TensorRT inference in two commands. Nemotron 3.5 lightning, a 30B model with 3B active parameters, expands its small-model lineup.
This summary was generated by Claude Sonnet 5.5 to help you explore the links below. Rest assured, I select, organize, and check the links by hand in Google Sheets, and write the introduction and personal commentary in The Main Newsletters myself each week as a labor of love.
This week's links related to NVIDIA
Groq Raises $350 Million at $3.5 Billion Valuation
https://www.implicator.ai/groq-350-million-3-5-billion-valuation-after-nvidia-deal/
Nvidia to Invest Up to $1 Billion in AI Startup Poolside – Bloomberg
https://www.bloomberg.com/news/articles/2025-10-30/nvidia-to-invest-up-to-1-billion-in-ai-startup-poolside
Nvidia’s AI moat is shifting from chips to capital
https://www.cnbc.com/2026/08/18/nvidias-ai-moat-is-shifting-from-chips-to-capital.html
We’re excited to go big with NVIDIA and sign up for 4+ GW of capacity. This is the scale frontier training demands!”
https://x.com/markchen90/status/2089366892024893445
OpenAI has entered an agreement to secure approximately 8 GW (!) of AI capacity in Ohio, one of its largest infrastructure commitments yet. SB Energy will build, own, and operate the PORTS-Pike data center under a 20-year lease. The campus will exclusively host NVIDIA compute”
https://x.com/kimmonismus/status/2089371190276092299
excited to work together on this. thank you jensen!”
https://x.com/sama/status/2089758522678657212
excited to be working with @NVIDIAAI on bringing SkillEvaluator to ClawHub! our goal is to make it easy for your Claw to discover the best skills, not just based on vibes but on quantitative proof having evals that show a clear “skill lift”, eg how much the skill actually”
https://x.com/Pat_Erichsen/status/2090142910499205145
Ollama has the best performance for deepseek v4 flash on average. For local only, you can try qwen3.8 that is optimized: Apple Silicon: ollama run qwen3.8:27b-mlx NVIDIA: ollama run qwen3.8:27b”
https://x.com/ollama/status/2089454609765146744
huge milestone in our partnership with NVIDIA”
https://x.com/gdb/status/2090515992506147198
I’m a big fan of smaller MoE models, and NVIDIA’s Nemotron 3.5 lightning is a great release in this space… NVIDIA is expanding the suite / offering of Nemotron models to be quite comprehensive. Now, Nemotron includes a smaller MoE model (30B parameters, 3B active), which”
https://x.com/cwolferesearch/status/2089419256354033911
We just released TensorRT Model Connect in Public Preview. You can take a supported @huggingface model to end-to-end TensorRT inference in just two commands. No intermediate ONNX export, and the resulting bundle can run through native C++ APIs. We also built the entire project”
https://x.com/NVIDIAAI/status/2089750360869233059
(60) The State of Model Routing … NVIDIA, Cognition, OpenRouter – YouTube
https://www.youtube.com/watch?v=QHBjufYK8TA&t=209s
A milestone for our infrastructure: our first NVIDIA Vera Rubin racks are here and now running our training stack. This is an important step as we expand compute that powers OpenAI’s next generation of frontier AI pre-training.”
https://x.com/udayruddarraju/status/2090343188393246973
Seeing a hype wave around GEN-1.5, and rightfully so. Lots of respect to Pete & Andy for executing so well. The secret is in the naturally repetitive motions in human-collected data. There’re 2 main sources for such repetitions: (1) Symmetric patterns. Sorting, tidying, and”
https://x.com/DrJimFan/status/2090465981240086992
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