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1.5 TB of VRAM on Mac Studio – RDMA over Thunderbolt 5

Lite^3, a JSON-Compatible Zero-Copy Serialization Format

Launch HN: Pulse (YC S24) – Production-grade unstructured document extraction

Show HN: Spice Cayenne – SQL acceleration built on Vortex

Show HN: A local-first memory store for LLM agents (SQLite)

Gemini 3 Flash: frontier intelligence built for speed

Oasis: Pooling PCIe Devices over CXL to Boost Utilization

Full Unicode Search at 50× ICU Speed with AVX‑512

Economics of Orbital vs. Terrestrial Data Centers

Article: Architecture in a Flow of AI-Augmented Change

While AI adoption is surging, most organizations fail to scale past pilots. The solution lies in organizational structure, not just technology. This article details how architects can enable "fast flow" by defining clear domains and guardrails. Learn how to shift from controlling outcomes to curating context, allowing AI to drive continuous, valuable business change. By Jonathan McPhail, Juan Medina, Jake DeCrane, Isuru Wijesundara

QCon AI New York 2025: Moving Mountains: Migrating Legacy Code in Weeks Instead of Years

David Stein, Principal AI Engineer at ServiceTitan, presented “Moving Mountains: Migrating Legacy Code in Weeks instead of Years” at QCon AI New York 2025. Stein demonstrated how migrations don’t have to be synonymous to “moving mountains” and introduced the concepts of the Principle of Acceleration and the Assembly Line Pattern. By Michael Redlich

Article: NextGen Search - Where AI Meets OpenSearch Through MCP

In this article, authors Srikanth Daggumalli and Arun Lakshmanan discuss next-generation context-aware conversational search using OpenSearch and AI agents powered by Large Language Models (LLMs) and Model Context Protocol (MCP). By Srikanth Daggumalli, Arun Lakshmanan

TornadoVM 2.0 Brings Automatic GPU Acceleration and LLM support to Java

The TornadoVM project recently reached version 2.0, a major milestone for the open-source project that aims to provide a heterogeneous hardware runtime for Java. The project automatically accelerates Java programs on multi-core CPUs, GPUs, and FPGAs. This release is likely to be of particular interest to teams developing LLM solutions on the JVM. By Ben Evans

Presentation: Powering Enterprise AI Applications with Data and Open Source Software

Francisco Javier Arceo explored Feast, the open-source feature store designed to address common data challenges in the AI/ML lifecycle, such as feature redundancy, and low-latency serving at scale. By Francisco Javier Arceo

Yelp Publishes Blueprint for Managing S3 Server-Access Logs at Massive Scale

In a detailed engineering post, Yelp shared how it built a scalable and cost-efficient pipeline for processing Amazon S3 server-access logs (SAL) across its infrastructure, overcoming traditional limitations of raw log storage and querying at high volume. By Craig Risi

Magika 1.0: Smarter, Faster File Detection with Rust and AI

Google has just released version 1.0 of Magika, a substantial rewrite of its open-source file type detection system. The new version leverages AI to support a broader range of file types and is built in Rust for maximum speed and security. By Sergio De Simone

Breaking Silos: Netflix Introduces Upper Metamodel to Bring Consistency Across Content Engineering

Netflix has introduced the Upper metamodel within its Unified Data Architecture (UDA) to standardize domain definitions and generate consistent data container representations. UDA links conceptual models to GraphQL, Avro, SQL, and Java artifacts, supporting projections, mappings, and knowledge graph-based discovery across content, advertising, and operational systems. By Leela Kumili

Learnings from Cultivating Machine Learning Engineers as a Team Manager

As an AI team manager, Vivek Gupta stays broadly informed to guide AI experts effectively and drive the team. Engineers need feedback on both technical and interpersonal skills, Gupta mentioned at Dev Summit Boston. He stresses learning time, asking for help, and cross-team collaboration. Mentorship, data handling, and human-in-the-loop validation are key to success for machine learning engineers. By Ben Linders

‘Uniquely evil’: Michigan residents fight against huge data center backed by top tycoons

Cash-strapped Americans shouldn’t fund Big Tech’s data centers

I built a real-time map tracking 19,000 bikes in Paris (github repo linked)

Ford shifts gears to build batteries for datacenters

[P] Cyreal - Yet Another Jax Dataloader

Full Unicode Search at 50× ICU Speed with AVX‑512

"No stock": Samsung raises DDR5 contract price by over 100%

HDD prices spike as AI infrastructure and China's PC push collide — hard drives record biggest price increase in eight quarters, suppliers warn pressure will continue

Aiming to level playing field, MLB to regulate use of data and tech in minors

datavzrd

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datavzrd

A tool to create visual HTML reports from collections of CSV/TSV tables

SatDump

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SatDump

A generic satellite data processing software.

databendlabs

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databend

𝗗𝗮𝘁𝗮, 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗔𝗜. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics. https://databend.com

apache

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flink-cdc

Flink CDC is a streaming data integration tool

pimcore

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pimcore

Core Framework for the Open Core Data & Experience Management Platform (PIM, MDM, CDP, DAM, DXP/CMS & Digital Commerce)

cipher387

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API-s-for-OSINT

List of API's for gathering information about phone numbers, addresses, domains etc

DiceDB

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dice

DiceDB is an open-source, fast, reactive, in-memory database optimized for modern hardware.

maplibre

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martin

Blazing fast and lightweight PostGIS, MBtiles and PMtiles tile server, tile generation, and mbtiles tooling.

dora-rs

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dora

DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.