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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

georgeezejiofor.com

GTZHostAug 7 · 2 min read

Architectural Breakdown: NVIDIA H100, A100, and L40S for Modern Workloads

Choosing the right Tensor Core GPU for a data center deployment requires understanding the architectural nuances of modern NVIDIA chips. Throwing hardware at a problem without analyzing the specific w

gtzhost.hashnode.dev

KavsAug 4 · 4 min read

Why Memory Bandwidth Matters More Than GPU FLOPS for AI Builders

Originally published by Packet.ai. This article is adapted from Packet.ai's technical guide on HBM3E vs HBM2E, with additional context for solo AI builders, indie hackers, and bootstrapped startups. E

packet-ai-dev.hashnode.dev

Rui CoelhoJul 7 · 4 min read

How to Use Kubernetes Dynamic Resource Allocation (DRA) — Real Use Case with GPUs

Introduction With Kubernetes 1.34, Dynamic Resource Allocation (DRA) is now generally available (GA) — enabling pods to request and allocate specialized hardware like GPUs, FPGAs, and high-speed stora

ruicoelho.hashnode.dev

Abstract AlgorithmsJul 2 · 1 min read

Quantization: GPTQ vs AWQ

Quantization reduces the memory footprint of an LLM by converting weight numerical values from 16-bit floating points (FP16) to 4-bit or 8-bit integers. This allows massive models to run on affordable

abstractalgorithms.hashnode.dev

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...

blog.ifkash.dev

Billion Bison HKJan 31 · 1 min read

The NVIDIA H200 GPU

The NVIDIA H200 GPU is designed to deliver breakthrough performance for AI training, AI inference, high-performance computing (HPC), data centers, and large-scale enterprise workloads. With next-generation memory and exceptional compute power, the H2...

billionbison.hashnode.dev

Billion Bison HKJan 28 · 1 min read

As we welcome the Chinese New Year 🧧

As we welcome the Chinese New Year 🧧 Billion Bison will observe the holiday from 10–24 February 2026. Operations will continue as normal before 10 February 2026, including weekends. We advise all partners to confirm spot and future orders in advance...

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Billion Bison HKJan 28 · 1 min read

NVIDIA AI GPUs & DGX Systems | USA, Canada, UAE, Europe & Asia | Billion Bison

Looking for RTX 5090, NVIDIA Blackwell GPUs, or DGX systems with ready stock in the USA, Canada, UAE, Europe, and Asia? Billion Bison supplies verified, enterprise-grade NVIDIA AI hardware with fast regional and global delivery. Available now: 🔹 RTX...

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Billion Bison HKJan 19 · 1 min read

🚀 AI, HPC & Data Center Equipment Solutions | Billion Bison

If you are looking for advanced equipment for AI, HPC (High-Performance Computing), and data center infrastructure, Billion Bison is your trusted global provider. We supply and deploy cutting-edge GPU and AI hardware, including in-stock availability ...

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

Architectural Breakdown: NVIDIA H100, A100, and L40S for Modern Workloads

Why Memory Bandwidth Matters More Than GPU FLOPS for AI Builders

How to Use Kubernetes Dynamic Resource Allocation (DRA) — Real Use Case with GPUs

Quantization: GPTQ vs AWQ

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

The NVIDIA H200 GPU

As we welcome the Chinese New Year 🧧

NVIDIA AI GPUs & DGX Systems | USA, Canada, UAE, Europe & Asia | Billion Bison

🚀 AI, HPC & Data Center Equipment Solutions | Billion Bison