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vikas sharmaOct 9 · 6 min read

GPU Server Hosting for AI Development and Compute-Heavy Applications

The Growing Need for Specialized Computing Many applications can run comfortably on standard server infrastructure. Websites, business dashboards, content management systems, and routine APIs often re

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Apoorv GuptaOct 2 · 14 min read

GPU Parallelization Isn't Just Moving Code to the GPU

1. The Problem Before getting into GPU parallelization, let's start with the problem that led us there. We had an ML inference workload with a strict end-to-end time requirement. As the amount of data

the-inference-layer.hashnode.dev

circuitrocksJul 8 · 3 min read

Bitluni's 8,192-Core DIY GPU Is Built From 13-Cent RISC-V Chips

Eight thousand status LEDs blink at once across a rack of plug-in blades, each one a separate RISC-V chip chewing on its slice of the work. Bitluni's newest build is a graphics processor stitched toge

circuitrocks.hashnode.dev

circuitrocksJul 8 · 3 min read

Bitluni's 8,192-Core DIY GPU Is Built From 13-Cent RISC-V Chips

Eight thousand status LEDs blink at once across a rack of plug-in blades, each one a separate RISC-V chip chewing on its slice of the work. Bitluni's newest build is a graphics processor stitched toge

circuitrocks.hashnode.dev

George SimsJul 1 · 7 min read

How a Process Really Works

As a DevOps/SRE/Platform Engineer you see many varieties of processes in the wild; Microservices writing to a database, a CI pipeline which runs linters and unit tests, the Docker ecosystem itself is

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Vishal Uttam ManeApr 21 · 4 min read

Distributed Training of Deep Learning Models

As deep learning models continue to scale in size and complexity, training them on a single machine has become increasingly impractical. Modern architectures such as large transformer models, high-res

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zubairakbar02Apr 1 · 4 min read

Understanding the Hardware Behind an HPC Cluster

High Performance Computing often sounds complex, but once you break it down, it is really a collection of specialized machines working together as one powerful system. Each component has a clear role,

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Duc DaoMar 26 · 5 min read

🚀 GPU Programming Flash Tour: From Curiosity to Parallel Thinking

Hi I am Duc Dao!Welcome to my blog : D Today, we’ll take a quick flash tour through High Performance Computing (HPC) and GPU programming. Sometimes, the most interesting things you learn don’t come fr

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Ece Özen İldemMar 16 · 10 min read

CERN School of Computing Diaries - Day 1

Hello Earthlings! I really enjoy writing reflections about the things I learn on a daily basis. It helps me clearly see what I did during the day, and it also allows me to share my thoughts while they

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ShashaankarDec 16, 2025 · 2 min read

MapReduce: Simplified Data Processing on Large Clusters

Jeffrey Dean and Sanjay Ghemawat,MapReduce: Simplified Data Processing on Large Clusters. Proc. of OSDI 2004. Summary The authors present MapReduce, a key-value programming model and its implementation for processing and generating large data sets in...

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GPU Server Hosting for AI Development and Compute-Heavy Applications

GPU Parallelization Isn't Just Moving Code to the GPU

Bitluni's 8,192-Core DIY GPU Is Built From 13-Cent RISC-V Chips

Bitluni's 8,192-Core DIY GPU Is Built From 13-Cent RISC-V Chips

How a Process Really Works

Distributed Training of Deep Learning Models

Understanding the Hardware Behind an HPC Cluster

🚀 GPU Programming Flash Tour: From Curiosity to Parallel Thinking

CERN School of Computing Diaries - Day 1

MapReduce: Simplified Data Processing on Large Clusters