Recent posts tagged nvidia

Level UI • 20 hours • in Articles • 9 min read
Somewhere in the last year, "do we need an MCP server?" joined the list of questions that arrive in a brief before anyone has said what the thing is for. It is usually framed as MCP vs API, as though the Model Context Protocol were a newer kind of AP...
post-cover-33074
  • ai
  • api
  • webdev
  • security
Tom Smithverified • 4 days • in Articles • 5 min read
Europe and Asia want AI they control. Governments and enterprises are pushing for models and infrastructure that run locally, under local rules. But putting GPUs in-country doesn't answer the harder question: who controls what happens to the data, th...
post-cover-32586
  • agenticai
  • aisecurity
  • sovereignai
  • nvidia
stjepan • Oct 9 • in Articles • 11 min read
Motivation I am not a data scientist/engineer, but I wanted to do a little experiment on NVIDIA Cubin binary code. I recalled my colleague's thesis on Data Clustering and wondered what would actually happen if we tried something like that on an NVI...
post-cover-30488
  • clustering
  • ai
  • nvidia
stjepan • Sep 25 • in Articles • 4 min read
Motivation In the previous article../nvidia-reverse-engineer-gpu-code I have started reverse-engineering a simple CUDA binary by modifying the value of a pointer variable. After identifying where the value was stored and successfully running the m...
post-cover-28618
  • nvidia
  • cuda
  • reverse-engineering
  • cubin
YasirAwan4831 • Sep 22 • in Articles • 2 min read
The rapid development of Artificial Intelligence AI has sparked growing debate about its potential impact on humanity and the future of civilization. While some AI researchers have warned about extreme risks, NVIDIA CEO Jensen Huang has strongly reje...
post-cover-28180
  • artificialintelligence
  • jensenhuang
  • nvidia
  • aiethics
fluxread • Sep 16 • in Articles • 1 min read
Apple officially shipped its flagship Siri overhaul, but the core reasoning engine isn't running on native silicon it's powered by a customized, 1.2 trillion parameter Google Gemini model. For developers and system architects, this represents a mass...
post-cover-27418
  • apple
  • googlegemini
  • ai
  • nvidia
stjepan • Sep 6 • in Articles • 4 min read
Motivation For quite a while I wanted to find out how NVIDIA really works under the hood. One of the greatest unknowns for me was how GPU code is compiled, packaged and loaded. So I accepted my own challenge: let's try and decode machine code runni...
post-cover-26347
  • nvidia
  • cuda
  • gpu
  • reverse-engineering
KarthikUnni • Sep 1 • in Articles • 4 min read
If you've worked with PyTorch, you've probably written something like model.cuda and watched your model start running on the GPU. But what actually happened after that? How does a line of Python eventually turn into thousands of threads doing computa...
  • gpu
  • nvidia
  • programming
Tom Smithverified • 16 hours • in Articles • 9 min read
Security dominated this week, but not in the usual way. Two active campaigns turned GitHub configuration files into attack surfaces. Researchers demonstrated that the built-in browsers inside AI coding tools can read your SSH keys. And at Oracle AI ...
post-cover-33104
  • agenticai
  • devsecops
  • github
  • localai
KarthikUnni • Aug 29 • in Articles • 6 min read
I've been trying to understand what actually happens when a piece of ML code reaches the GPU. Not the usual model.cuda and GPU go brrrr kind of understanding, but the actual stuff underneath it — threads, warps, memory, kernel launches, and why some ...
  • gpu
  • nvidia
  • programming
KarthikUnni • Aug 23 • in Articles • 3 min read
A few months ago, if you'd asked me what a GPU actually does, I would've mumbled something about "graphics" and changed the subject. I'm an undergrad, self-taught in most of what I know about programming, and until recently, GPUs were just... backgr...
  • ai
  • gpu
  • kernal
  • nvidia
Tom Smithverified • Jun 17 • in Articles • 6 min read
Enterprises aren't running out of data. They're running out of ways to make it useful. The gap between raw enterprise data and production-ready AI is where most projects die. Data scientists spend months wrangling ingestion pipelines, cleaning unstr...
post-cover-20731
  • datastream
  • aiinfrastructure
  • nvidia
  • mlops
Nikhilesh Tayal • May 24 • in Articles • 1 min read
NVIDIA GPUs helped train LLMs that are now helping design the next generation of NVIDIA GPUs. Yes, there is something recursive happening here. Nvidia trained internal LLMs: ChipNeMo and BugNeMo on decades of proprietary chip-design data. T...
  • ai
  • hardware-engineering
  • nvidia
herakles-dev • Mar 28 • in Articles • 4 min read
Beyond Vibe Coding: The Architecture Behind Autonomous AI Agent Systems There's a ceiling to prompt-and-paste development that most people hit without realizing it. You prompt an AI, get code back, copy it into your project, fix what's broken, repe...
post-cover-13577
  • aiagents
  • aiinfrastructure
  • agentic-ai
  • nvidia
Tom Smithverified • Mar 16 • in Articles • 4 min read
HPE used NVIDIA GTC 2026 to announce the most significant refresh of its AI infrastructure portfolio since the company started building exascale systems. The updates span two product lines — HPE's supercomputing platform and its AI Factory portfolio ...
post-cover-12959
  • hpe
  • nvidia
  • gtc2026
  • verarubin
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