Codetown ::: a software developer's community
Time: September 7, 2017 to September 8, 2017
Location: Dublin and Thessaloniki
City/Town: Dublin and Thessaloniki
Website or Map: https://re-publica.com/
Event Type: conference
Organized By: https://re-publica.com
Latest Activity: Aug 2, 2017
re:publica is one of the largest and most exciting conferences about digital culture in the world. Since its foundation in 2007, it has grown from a cozy blogger meeting with 700 participants into a wide-ranging “society conference”, with 9.000 visitors at the eleventh edition of re:publica. Representatives of digital culture share their knowledge and decision-making tools, and discuss the future of the information society. Here they can mingle with activists, scientists, hackers, entrepreneurs, NGOs, journalists, social media and marketing experts, and many others. This fosters innovation and creates synergies between net politics, online marketing, network technology, digital society, and (pop) culture. What is more, around 46 percent of re:publica speakers are female – far more than at many other similar events.
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Serving Large Language Models (LLMs) at scale is complex. Modern LLMs now exceed the memory and compute capacity of a single GPU or even a single multi-GPU node. As a result, inference workloads for 70B+, 120B+ parameter models, or pipelines with large context windows, require multi-node, distributed GPU deployments.
By Claudio Masolo
Karrot replaced its legacy recommendation system with a scalable architecture that leverages various AWS services. The company sought to address challenges related to tight coupling, limited scalability, and poor reliability in its previous solution, opting instead for a distributed, event-driven architecture built on top of scalable cloud services.
By Rafal Gancarz
Sharing your work as a software engineer inspires others, invites feedback, and fosters personal growth, Suhail Patel said at QCon London. Normalizing and owning incidents builds trust, and it supports understanding the complexities. AI enables automation but needs proper guidance, context, and security guardrails.
By Ben LindersThe article shares goals and strategies for scaling cloud and distributed applications, focusing on lessons learned from cloud migration at Chase.com at JP Morgan Chase. The discussion centers on three primary goals and the strategies addressing the goals, concluding how these approaches were achieved in practice. For those managing large-scale systems, these lessons provide valuable guidance!
By Durai Arasan
At the recent GitHub Universe 2025 developer conference, Arm unveiled the Cloud migration assistant custom agent, a tool designed to help developers automate, optimize, and accelerate the migration of their x86 cloud workflows to Arm infrastructure.
By Sergio De Simone
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