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Inferencing holds the clues to AI puzzles

CIO

With the potential to incur high compute, storage, and data transfer fees running LLMs in a public cloud, the corporate datacenter has emerged as a sound option for controlling costs. Because LLMs consume significant computational resources as model parameters expand, consideration of where to allocate GenAI workloads is paramount.

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Open Source Instant Messaging (IM) Project OpenIM Source Code Deployment Guide

Dzone - DevOps

Environment and Component Requirements Environmental Requirements Note Detailed Description OS Linux system Hardware At least 4GB of RAM Golang v1.19 or higher Storage Component Requirements Storage Component Recommended Version MongoDB v6.0.2 or higher Docker v24.0.5 or higher Git v2.17.1 or higher Redis v7.0.0 Kafka v3.5.1

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Microsoft acquires Fungible, a maker of data processing units, to bolster Azure

TechCrunch

In December, reports suggested that Microsoft had acquired Fungible, a startup fabricating a type of data center hardware known as a data processing unit (DPU), for around $190 million. ” A DPU is a dedicated piece of hardware designed to handle certain data processing tasks, including security and network routing for data traffic. .”

Azure 282
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Scaling out Postgres with the Citus open source shard rebalancer

The Citus Data

One of the big changes in Citus 10 —in addition to adding columnar storage , and the new ability to shard Postgres on a single Citus node—is that we open sourced the shard rebalancer. Yes, that’s right, we have open sourced the shard rebalancer! And now that—big news!—we’ve

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Is Open-Source Kubernetes Free? Yes, “Like a Puppy.” Here’s Why.

d2iq

The common misconception of open-source Kubernetes is that it is free—but in reality, it has a lot of associated costs, including labor and potential business losses from wasted time, effort, and being late to market. Assembling and managing a Kubernetes platform requires highly skilled Kubernetes architects, engineers, and developers.

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LLM Fine-tuning Challenge at NeurIPS

Xebia

LLM Fine-tuning NeurIPS 2023 featured a challenge to efficiently fine-tune open-source LLM models on public datasets. The challenge is set up as follows: The base model needs to be from a list of approved open-source models. Of course, the backend relied on some storage. We participated in this challenge.

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The Big Cloud Exit FAQ

David Heinemeier Hansson

Shortly thereafter, all the hardware we needed for our cloud exit arrived on pallets in our two geographically-dispersed data centers. All 4,000 vCPUs, 7,680GB of RAM, and 384TB of NVMe storage of it! Here goes: Won’t your hardware savings be swallowed by bigger team payroll? This was the introduction of Kamal.

Cloud 144