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NVIDIA GPU Operator on RKE2: Passthrough to kubeflow (The Sports Car in the Garage)

Episode 7 of the homelab build series. The foundation is poured, the walls are up, the alarms are wired, the storage floor is down and the safe is locked. Now for the fun room: three NVIDIA GPUs, one

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Raghul MJul 8 · 5 min read

The Hidden Softwares Behind Every AI GPU : Why Hardware Alone Isn't Enough

Most people think NVIDIA, AMD, or Intel won the AI race by building faster GPUs. That's only half the story. The real winner isn't just the company with the most powerful hardware it's the company wit

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Servers99Mar 12 · 2 min read

How to Install NVIDIA Drivers and CUDA 13.1 on Ubuntu 24.04

If you're deploying a GPU server on Ubuntu 24.04, installing NVIDIA drivers and CUDA the right way is important for long-term stability and maintainability. A lot of issues usually come from using out

servers99.hashnode.dev

Thea LaurenFeb 17 · 1 min read

The 2026 Guide to Dedicated GPU Servers for AI & Rendering

Choosing the right infrastructure is arguably as important as the model architecture itself. In our latest article, we examine the dedicated server landscape for 2026. We review LEO Servers, phoenixNAP, DataPacket, and others to see who offers the be...

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KashifFeb 8 · 5 min read

I Pretrained a 360M LLaMA-Style Language Model from Scratch on 6B FineWeb Tokens (Single H100)

Pretraining an LLM from scratch usually sounds like “big-lab-only” territory. I wanted to test how far a smaller, practical setup can go while keeping the process transparent and reproducible. This post documents an end-to-end run of training a ~360M...

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Thea LaurenJan 23 · 2 min read

Latency is the New Downtime: The Strategic Case for Australian Bare Metal

In modern system design, we often obsess over micro-optimizations in our code while ignoring the biggest bottleneck of all: the speed of light. For developers and CTOs targeting the Asia-Pacific (APAC) market, physical geography is a hard constraint....

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App DevDec 23, 2025 · 5 min read

Why GPUs Are Still the Backbone of AI Infrastructure in 2025

The Critical Role of GPUs in Modern AI Infrastructure Graphics Processing Units (GPUs) continue dominating AI infrastructure in 2025 because of their parallel processing architecture, which enables simultaneous execution of thousands of calculations—...

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NJDec 6, 2025 · 6 min read

GPU Scheduling: The Hidden Infrastructure Crisis Killing AI Companies

GPU Scheduling: The Hidden Infrastructure Crisis Killing AI Companies Why GPU scheduling has become the most expensive problem nobody’s talking about The AI industry has a dirty secret: while everyone obsesses over model architectures and training t...

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Varada SantoshNov 27, 2025 · 22 min read

Optimizing GEMM: GPU Architecture Essentials

Every time you ask ChatGPT a question, get a movie recommendation on Netflix, or watch your phone recognize faces in photos, billions of matrix multiplications are happening behind the scenes. This fundamental mathematical operation has become the co...

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Varada SantoshNov 27, 2025 · 43 min read

Understanding CUDA GEMM: Foundations for Optimization

In our previous blog, we explored GPU computing fundamentals: memory hierarchies, thread organization, warps, memory coalescing, and kernel classification (memory-bound vs. compute-bound). In this blog, we apply these concepts to optimize GEMM (Gener...