I’ve Partnered with NVIDIA! 🔥
I'll can now distill direct insights from NVIDIA experts, around everything AI related!
Welcome to Neural Bits. Each week, I write about practical, production-ready AI/ML Engineering. Join over 6200 engineers and build real-world AI Systems.
Hey all, awesome news!
A big reason I started the Neural Bits Newsletter was to distill, showcase, and teach the real-world side of AI, avoiding hype and focusing on building real AI systems.
As a senior AI engineer, my technical writing focuses mainly on deep dives: going low-level into details, unpacking how things work, and then building systems that make it all come together.
My philosophy is simple: first deeply understand AI, then build with AI.
That’s what I’ve been doing for the past 8 years.
How it started
I’ve been covering NVIDIA and AI for quite a while. One of my first articles on the newsletter was unpacking NVIDIA NIM, then Triton Server, Dynamo, and more.
That caught NVIDIA’s eye. Many people working for NVIDIA engaged, reshared, and even messaged me about my content on AI/ML.
Over the past few months, I’ve had a few chats with NVIDIA, attended workshops, been invited to pre-release sessions, in-depth walkthroughs, and developer sessions.
Now that got supercharged!
A Technical Sneakpeek
Since I don’t want to keep this article informal only, I added a full walkthrough on NVIDIA Nemotron Models.
I’ve been keeping an eye on the entire landscape of AI models out there, lately on Agentic or Reasoning-powered ones. I’ve built with LLama 3, Qwen-2.5VL, Qwen3, and DeepSeek distilled versions.
Recently, the Nemotron Family of models caught my eye.
Reading the docs, multiple improvements were added, from post-training techniques, to new compute kernels and even new neural network layers.
I’m planning to build something around the Nano models to enable agentic reasoning on low-resource compute, and will keep you updated on the topic.
For now, I’ve created this flowchart to cover the landscape of how these models were built, finetuned, and improved.
What This Partnership Means
For over 8 years, I’ve been working with AI and Deep Learning, building Vision AI Systems, RAG, and Multimodal RAG, everything around LLMs, and recently Agents and Multi-Agent Systems. I’ve shared deep dives into tools, frameworks, and workflows that AI engineers need to build, deploy robust and scalable AI workloads.
My content is different, deeply technical in the sense that I don’t stay at the surface, but go through the complete chain, from low-level concepts to best practices in building with AI.
My main goal is to bridge the gap between what’s real vs hyped up stuff. To talk about what an AI/ML Engineer really needs.
From Concepts, GPUs, Data, Pipelines, Models, Architectures, AI Research, Software Engineering, Deployments, Scale, APIs, Optimizations, etc.
With this partnership, I’ll now be collaborating directly with NVIDIA experts, giving you access to exclusive insights, tutorials, and deep dives.
BONUS - Free NVIDIA Webinar
From CUDA, TensorRT-LLM, NeMo, Triton, to Dynamo, each of these frameworks and libraries powers a different part of the AI development chain. For an AI Engineer, it might be overwhelming at first to get through all of these.
Naturally, the next set of questions comes up:
How can I get better at using NVIDIA’s software stack?
Which courses or certifications could I pick?
This upcoming session will help you find those answers.
NVIDIA Training is hosting a FREE webinar to guide you through their Generative AI certification exams.
Register here: https://nvda.ws/4mBCirc
📅 Tuesday, October 7, 2025 | 9:00 a.m. CET
Seats are limited. Use your corporate email for better chances.
What You Can Expect
I won’t sell you or push for you to buy something.
I’ll be a source to distill complex concepts, from NVIDIA experts down to AI Engineers and aspiring AI enthusiasts.
I’ll keep the deep technical expertise in my articles.
I’ll focus on hands-on tutorials and practical projects you can follow step by step.
No fluff, no selling you anything - just real technical knowledge and actionable guidance on AI Engineering!
Can’t wait to bring you the best out of this, straight to your inbox! 🫶
Subscribe and stay tuned!
That’s really awesome Alex, congrats!
I am also building around nano models . Let’s collaborate if possible Alex