Image created with Flux Pro v1.1 Ultra. Image prompt: Giant “100” as pure white negative‑space cutout dominating the frame; minimalist poster style; silicon wafer interference colors and EUV mask lines visible through the cutout; violet‑silver backdrop; high contrast, crisp edges, soft studio light, no other text, no logos

Google scores six-year Meta cloud deal worth over $10 billion https://www.cnbc.com/2025/08/21/google-scores-six-year-meta-cloud-deal-worth-over-10-billion.html

China seeks to triple output of AI chips in race with the US – Google Search https://www.google.com/search?q=China+seeks+to+triple+output+of+AI+chips+in+race+with+the+US&sourceid=chrome&ie=UTF-8

BREAKING: AWS just solved the biggest AI agent bottleneck. No more custom glue code. No more M×N tool chaos. No more protocol headaches. Introducing: Amazon Bedrock AgentCore Gateway Here’s how it works: https://x.com/jowettbrendan/status/1956645719676530876

AI world models & why they matter… in 20 minutes. The holodeck is closer than you think, and the implications for robotics, AR/VR and content creation are staggering. In this video, I’ll breakdown everything from Google Genie 3 and NVIDIA Cosmos to startups powering https://x.com/bilawalsidhu/status/1958320179714150824

@JingyuanLiu123 tpu basically has nvlink tier bandwidth across the whole pod & torus topology scales really cleanly.”” / X https://x.com/gallabytes/status/1959100995243315412

And after 1 week of work, here is zml/llmd running transparently on TPU with full prefill/decode paged attention. No code change, single flag, as it should be. https://x.com/steeve/status/1960333418467664332

The future is here, more evenly distributed than ever…but unevenly activated. AI is a free supercomputer in your pocket. But not everyone knows they have one. What it can do. How to use it. Access levels the playing field. Now we need education to help people get out on it.”” / X https://x.com/mustafasuleyman/status/1960378958710440017

We’ve renamed the ‘AI Supercomputers’ dataset to ‘GPU Clusters’ to better reflect that it covers all types of GPU clusters, including both general-purpose clusters and the supercomputers used to train the largest AI models. 🧵 https://x.com/EpochAIResearch/status/1959088231800283495

We have a new land-speed record (hardware subtleties in build quality are fun) ~13GB/s read time off Thunderbolt4 RAID0 cluster cc @Prince_Canuma @ivanfioravanti https://x.com/TheZachMueller/status/1959730569195016589

Google presents for the first time ever their TPUv7 block diagram at hot chips conference. TPUv7 (formerly known as TPUv6p, internally called ghostfish) has 8 stacks of HBM3e memory, 4 medium size systolic arrays and be connected in a 3D torus with a scale up world size of up to https://x.com/SemiAnalysis_/status/1960424664741634094

A big milestone for Hermes. We did a lot of work to make a frontier level openmodel that does not dictate what expression you can elicit from the model. Super strong at math, coding, STEM, and creativity. Model Weights: https://x.com/Teknium1/status/1960420619620901135

Hermes 4 – Nous Research https://hermes4.nousresearch.com/

Hermes 4 technical breakdown: ▫️ Open Source LLM ▫️ Fine-tune of Llama 3.1 ▫️ 405B & 70B params ▫️ Hybrid reasoning ▫️ Trained on 3.5 million reasoning samples ▫️ Trained using 192 NVIDIA B200 GPUs ▫️ Uncensored ▫️ Steerable, aligned to the user ▫️ Creativity enhanced (like”” / X https://x.com/vectro/status/1960734604601569560

Nous Research presents Hermes 4, our latest line of hybrid reasoning models. https://x.com/NousResearch/status/1960416954457710982

Fourth model launch of the day 🔥 – introducing Hermes 4, from @NousResearch Hermes 4 is trained for steerability and lower refusal rates, topping RefusalBench and beating Grok 4 https://x.com/OpenRouterAI/status/1960436262923592065

Introducing the Environments Hub RL environments are the key bottleneck to the next wave of AI progress, but big labs are locking them down We built a community platform for crowdsourcing open environments, so anyone can contribute to open-source AGI https://x.com/PrimeIntellect/status/1960783427948699680

slurm support just dropped on prime for our h100, h200 and b200 multi node setups https://x.com/jannik_stra/status/1960375622003196127

🤖 From this week’s issue: The NVIDIA team released the NVIDIA Nemotron Nano 2 family of accurate and efficient hybrid Mamba-Transformer reasoning models. https://x.com/dl_weekly/status/1960321337248944130

Efficient Language Model with PostNAS NVIDIA’s recent research on LLMs has been fantastic. Jet-Nemotron is the latest in efficient language models, which significantly improves generation throughput. Here are my notes: https://x.com/omarsar0/status/1960724749790929009

NVIDIA has released Nemotron Nano 9B V2, a small 9B reasoning model that scores 43 on the Artificial Analysis Intelligence Index, the highest yet for <10B models Nemotron 9B V2 is the first Nemotron model pre-trained by @NVIDIA. Previous Nemotron models have been developed by https://x.com/ArtificialAnlys/status/1960504310309249045

NVIDIA release announcement with all the technical details: https://x.com/ArtificialAnlys/status/1960504316550373657

We just released Nemotron-CC-Math 🚀 Equations on web aren’t just LaTeX-they’re in MathML,<pre> tags,inline,even images.Code shows up just as many ways. Most parsers drop it. Nemotron-CC-Math(133B tokens) reprocesses CommonCrawl math pages to capture math equations +code reliably”” / X https://x.com/KarimiRabeeh/status/1960682448867426706

Results Jet-Nemotron-2B outperforms or matches small full-attention models on MMLU, MMLU-Pro, BBH, math, commonsense, retrieval, coding, and long-context tasks. All this while delivering up to 47x decoding throughput at 64K and as high as 53.6x decoding and 6.14x prefilling https://x.com/omarsar0/status/1960724855709688053

OpenAI plans a new build with Oracle that would add 4.5 gigawatts of data-center capacity, an outgrowth of their “Stargate” program. The Wall Street Journal reported OpenAI will pay Oracle $30 billion annually. The plan follows a 1.2-gigawatt site in Abilene, Texas. Selection https://x.com/DeepLearningAI/status/1960900145421177053

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