Deep Learning with C++ — Design and deploy neural networks using CUDA for high-performance AI in C++ Get the book at https://
amzn.to/4nzdKB4 from @PacktPublishing @PacktDataML
COMPUTING
-
Deep Learning with C++ and CUDA for High-Performance AI
By
–
-
GPU Memory Math for LLMs Explained
By
–
First, GPU Memory Math for LLMs (or why it is not always about Memory Size)
-
Insforge: Backend Platform for AI-Native Developers on Y Combinator
By
–
More here:
→ https://
ycombinator.com/launches/QP6-i
nsforge-the-backend-platform-for-ai-native-developers
… -
Local Open-Source AI as a Strategy to Mitigate GPU Shortages
By
–
I believe on-prem and local AI – based on @huggingface open-source models – will be an important answer to the GPU shortages this year (because they are cheaper, faster, safer than cloud APIs)!
— clem 🤗 (@ClementDelangue) 18 mai 2026
Great collaboration between @huggingface & @MichaelDell @Dell to make this a reality… pic.twitter.com/nSYfGnlPqWI believe on-prem and local AI – based on @huggingface open-source models – will be an important answer to the GPU shortages this year (because they are cheaper, faster, safer than cloud APIs)! Great collaboration between @huggingface & @MichaelDell @Dell to make this a reality
-
AI inference market size significantly underestimated, says optimistic observer
By
–
I firmly believe that even the most optimistic people in AI are severely underestimating how big the market for inference is going to be.
-
New Large-Scale AI Model Training with Increased Compute
By
–
Together with SpaceXAI, we’re training a significantly larger model from scratch, using 10x more total compute. With Colossus 2’s million H100-equivalents and our combined data and training techniques, we expect this to be a major leap in model capability.
-
A Closer Look Into The Math Behind Neural Networks
By
–
A Closer Look Into The Math Behind Neural Networks! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Math-Neural-Ne
tworks
… -
Questioning the economic sustainability of AI infrastructure spending
By
–
AI may not be a bubble. But some AI spending might be.
— Pascal Bornet (@pascal_bornet) 18 mai 2026
Loved this point from Ann Pettifor because it asks the question I keep coming back to:
Who pays for all this?
Data centers. Chips. Energy. Cooling. Debt.
All built on the belief that future AI profits will justify today’s… pic.twitter.com/e35239BWgCAI may not be a bubble. But some AI spending might be. Loved this point from Ann Pettifor because it asks the question I keep coming back to: Who pays for all this? Data centers. Chips. Energy. Cooling. Debt. All built on the belief that future AI profits will justify today’s
-
AI races: top contenders in models, data centers, chips
By
–
The three AI races and their top contenders:
Models: OpenAI, Anthropic, Google
Data centers: Amazon, Microsoft, Google
Chips: Nvidia, AMD, Google -
Breakthrough in video generation: a new interface to reality
By
–
The breakthrough is not just better video generation. It is a new interface to reality. Instead of being locked into one camera angle, you can: → move across viewpoints
→ inspect scenes from new perspectives
→ revisit the same moment from a different position That means