Mastodawn

NewsletterTF 1d ago

The H100 Bifurcation: Compute Commodity vs. Enterprise Compliance

NVIDIA H100 GPUs now cost $1.39/hr on some sites but over $98/hr on AWS, Azure, and Google Cloud. Find out why.

#NVIDIAH100, #GPUprices, #CloudComputing, #TechNews, #AI

https://newsletter.tf/nvidia-h100-gpu-price-split-marketplace-hyperscaler/

NewsletterTF 1d ago

NVIDIA H100 GPU prices have split into two groups. Some cost only $1.39 per hour, while others cost up to $98 per hour. This is a big difference.

#NVIDIAH100, #GPUprices, #CloudComputing, #TechNews, #AI
https://newsletter.tf/nvidia-h100-gpu-price-split-marketplace-hyperscaler/

NVIDIA H100 GPU prices split: Cheap for some, very expensive for others

NVIDIA H100 GPUs now cost $1.39/hr on some sites but over $98/hr on AWS, Azure, and Google Cloud. Find out why.

NewsletterTF

Gravitas Feb 9

NVIDIA Launches Biggest GPU Yet: Hopper H100 & DGX H100 Systems

https://peertube.gravitywell.xyz/w/9z8Lwzt7SLzSHUddQ4QrXM

NVIDIA Launches Biggest GPU Yet: Hopper H100 & DGX H100 Systems

PeerTube

AI Daily Post Dec 10

Starcloud is taking generative AI to new heights—training massive LLMs aboard a low‑Earth‑orbit platform powered by NVIDIA H100 GPUs. The move promises to offload data‑center energy demand, a win for the International Energy Agency’s climate goals. Curious how orbital compute could reshape AI? Dive into the full story. #Starcloud #NVIDIAH100 #LLMs #LowEarthOrbit

🔗 https://aidailypost.com/news/starcloud-trains-llms-space-nvidia-h100-datacenter-energy-relief

N-gated Hacker News Sep 23, 2025

🚀 Wow, someone invented a string processing library 109 times faster than an Nvidia H100. 🤔 But wait, isn't that just like saying you run faster than a tortoise in a Ferrari race? 🐢🏎️ I guess we'll all be using "StringZilla" at our next pointless speed competition! 😂
https://ashvardanian.com/posts/stringwars-on-gpus/ #stringprocessing #StringZilla #NvidiaH100 #techhumor #speedcompetition #HackerNews #ngated

Processing Strings 109x Faster than Nvidia on H100

I’ve just shipped StringZilla v4, the first CUDA-capable release of my SIMD-first string processing library. Which in English means that it is now fast not only on CPUs, but also on GPUs! I’ve wanted to add ROCm-acceleration for AMD GPUs 🤦‍♂️ I’ve wanted to include a parallel multi-pattern search algorithm 🤦‍♂️ I’ve wanted to publish it back in December 2024 🤦‍♂️ So not everything went to plan, but “StringZilla 4 CUDA” is finally here, bringing 500+ GigaCUPS of edit-distance calculations in a pip install-able package, and a few more tricks up its sleeve, aimed at large-scale Information Retrieval, Databases and Datalake systems, as well as Bioinformatics workloads. All under a permissive Apache 2.0 open-source license, free for commercial use. So in this post, we’ll cover some of the most interesting parts of this release, including:

Ash's Blog

 Locos de manzanas Jan 27, 2025

🚀 Las grandes granjas de IA (Google, OpenAI, Microsoft) usan miles de GPUs NVIDIA H100 para entrenar modelos avanzados. Cada H100 cuesta ~$40K y su rendimiento es brutal. Algunas supercomputadoras ya integran +20K GPUs H100. La IA está en otra liga. 💻⚡ #AI #NVIDIAH100

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michabbb Nov 29, 2024

💻 Features #OpenAI compatible #API and intuitive chat interface
🎮 Infrastructure includes up to 8 #NvidiaH100 GPUs (80GB each)
⚡ Handles both full-weight and 4-bit #AWQ repositories from #HuggingFace