Latest AI and tech news
Lablup has released AI:GO, a Personal Agentic AI Platform that lets you create and run AI Squads composed of multiple AI agents right on your personal computer....
The Sovereign AI Foundation Model Project is a government-led initiative in South Korea aimed at developing AI models optimized for the Korean language and national context. The Upstage consortium, which includes Lablup, was selected as one of four t...
Lablup and FuriosaAI have published "RNGD meets Backend.AI," a whitepaper documenting the performance and operational efficiency of the RNGD and Backend.AI combination under real LLM workloads. Backend.AI has supported unified operation of diverse GP...
Two days after Upstage released Solar Open 2, we had it running on a pair of DGX Sparks and brought it to a service-ready state, despite this combination being considered unsupported. This post explains why DGX Spark was seen as an incompatible targe...
Imagine a researcher who just started working on Korean natural language processing. Training a parser or building a sentiment analysis model requires a dataset, so the researcher starts looking for one. Not much usable material turns up. Colleagues ...
Eunseong Choi, a researcher in search and natural language processing, began working in machine learning and AI in late 2019 during graduate school and has remained in this field since then. He now works at Liner, a search technology startup, where h...
This guide walks you through installing Backend.AI on a single DGX Spark node using the built-in Terminal User Interface (TUI) installer. It uses the Gemma 4 12B model as an example. The instructions are based on Backend.AI 26.4.9. Note that the inte...
When purchasing GPUs, selecting a single vendor would simplify things. In practice, that is often not the case. For example, you may still be operating NVIDIA H100 GPUs while adding AMD Instinct MI350X with this year’s budget. You might also introduc...
This article was co-authored by Lablup and VAST Data based on benchmark validation tests conducted together....
Backend.AI now officially supports the Intel Arc Pro B70 workstation GPU. With this addition, Lablup extends its Intel coverage beyond the Gaudi 2/3 AI accelerators it has supported to date and into the Arc graphics lineup. From Gaudi in the datacent...
Building on its existing support for Intel Gaudi 2/3 AI accelerators, Backend.AI now extends its Intel lineup to Arc graphics, starting with the Arc Pro B70. With a larger memory pool than competing desktop-grade options, the B70 shows its clearest a...
If you run an enterprise-grade server cluster, security auditing matters a great deal for compliance. When a breach happens, you can only trace what actually occurred if the sensitive actions were recorded: which IP connected to the system, who reque...
Lablup is releasing mlxcel as an open-source AI inference engine built for Apple Silicon. mlxcel is a proprietary AI inference engine that Lablup has been developing since 2025 to maximize LLM and VLM (vision-language model) inference performance on ...
From May 6 to 8, Lablup participated in AI EXPO KOREA 2026 at COEX Hall A. Over three days at booth F04, visitors saw Backend.AI and AI:GO in action: how teams use them today, and where the platforms are headed next....
At Lablup, there is a team whose work does not land in the current product but shapes what comes next. The Research team looks six months, or even one or two years, ahead of the tools and capabilities Backend.AI may need. Across three labs (GenAI Lab...
In LLM serving for agentic AI, context length is one of the variables that decides GPU memory headroom. As AI takes on more complex work, multi-turn conversations and agentic sessions stay open longer, with context piling up into the tens of thousand...
At Lablup, we build AI infrastructure software . But infrastructure alone doesn't solve domain problems — you need systems that can reason over specialized knowledge at scale. Over the past year, we've developed two production RAG systems that tackle...
During a three-month frontend internship at Lablup from December 2025 to February 2026, I wrote 'stories' for over 50 components in the Backend.AI WebUI. Rather than jumping straight into writing stories one by one, I first built guidelines and an au...
Lablup is the infrastructure partner in the Upstage consortium for Korea's national Sovereign AI Foundation Model project. We're pre-training Upstage's Solar Open (a 102B MoE model) on SKT's "HAEIN" cluster, using around 500 of its 1,000+ NVIDIA B200...
In October 2025, NVIDIA released the DGX Spark, a compact AI supercomputer designed to bring datacenter-class AI performance to a desktop form factor. Built on the Grace Blackwell architecture, the DGX Spark packs 128GB of unified memory and 1 PFLOP ...
The PSF is a 501(c)(3) non-profit organization dedicated to promoting, protecting, and advancing the Python programming language while supporting the growth of a diverse and international community of Python programmers. Since its founding in 2001, t...
In January 2026, the Upstage consortium that Lablup is part of successfully passed the Phase 1 evaluation for the Korean government's Sovereign AI Foundation Model project. This initiative aims to protect national AI sovereignty by having the governm...
Lablup is participating in the Consumer Electronics Show (CES 26), taking place from January 6-9 in Las Vegas, USA....
This post summarizes the key changes implemented in Backend.AI FastTrack 3 from version 25.13.0 (September 30, 2025) through version 25.18.0 (January 07, 2026)....
SC25 marked an exciting convergence of supercomputing and artificial intelligence, and Lablup was right at the heart of it. Throughout the supercomputing week, global leaders in HPC and AI gathered to exchange ideas, explore breakthroughs, and shape ...
There are people who quietly, yet firmly, support the system from unseen places. The CoreDev team, which takes charge of Backend.AI’s heart, is responsible for designing the platform’s stable foundation and laying the groundwork for new features. Hye...
Here's how Backend.AI's orchestration layer, Sokovan, solved the session scheduling problem....
This article is a summary of Jeongkyu Shin's keynote speech on September 24, 2025 at lab | up > /conf/5....
On September 24, lab | up > /conf/5, Lablup’s fifth annual tech conference, was held at Yangjae aT Center in Seoul. This year’s theme was “Make AI Composable,” and the program featured a wide range of talks and Q&A sessions covering everything from A...
Hello from Lablup!
Lablup will be participating in Supercomputing 25 (SC25), taking place from November 16 to 21 in St. Louis, Missouri, USA.
At booth #3102, Lablup will showcase Backend.AI, our HPC/AI infrastructure operating platform, demonstratin...
Looking at recent AI technology trends, it's no exaggeration to say we're in the Age of Agents—everyone is talking about and developing AI agents. Simply put, an AI agent is a system that receives user requests, interacts with specific tools (website...
Backend.AI 25.15 LTS is now officially available. This release brings comprehensive system-level optimization and user experience improvements, reinforcing the platform’s reliability and scalability for large-scale AI model training, deployment, and ...
In the first half of 2025, the AI ecosystem is being reshaped around two major forces: a new paradigm of performance and intensifying geopolitical competition. The traditional training-centric model advancement is shifting toward the Reasoning Model ...
Lablup is a company we ourselves feel is quite unique. Here, everyone works in the way that suits them best, anyone can freely ask questions and share opinions, and if something needs to be done, anyone can start it immediately regardless of seniorit...
In recent years, the way we perceive and use technology has undergone a profound transformation. Where we once simply selected from a menu of pre-defined features, we’re now entering an era where anyone can design and assemble tools tailored to their...
Backend.AI is an AI infrastructure operations solution developed by Lablup. To support various types of infrastructure including on-premises, cloud, and hybrid environments, Backend.AI includes diverse features designed to optimize AI development and...
Backend.AI is an AI Infrastructure Operating Platform that manages the entire AI infrastructure, serving as the core technical achievement that realizes Lablup's vision of "Make AI Accessible." Recently, Lablup has been developing various product lin...
According to a 2014 Google paper, machine learning systems inherently contain significant technical debt, and the code responsible for training and inference represents only a small fraction of the overall system. The majority of the code is dedicate...
Hello! I’m Seungwon Lee from the Lablup front-end chapter. On April 2nd, our team hosted a small event called the “Green Dot Party.” The term “Green Dot” refers to the little green dots that appear next to test cases when they pass successfully after...
On April 21, 2025, Lablup marked its 10th anniversary. What began as a small step has become a long journey, with much still ahead. This milestone offers an opportunity to reflect on Lablup’s first decade and the rapid evolution of AI technology alon...
We're excited to announce Backend.AI 25.6, the first Long Term Support (LTS) release of 2025. This update brings significant improvements to system monitoring, audit logging, and model service auto-scaling, making operations more convenient than ever...
Greetings from Lablup. We're excited to be a Silver Sponsor at NVIDIA GTC 2025, which runs March. 17-21 in, San Jose, California....