Open Source & Tools

Ai2 releases Olmo-core 3, open-source framework boosting MoE training efficiency 2.7x

Original article in KoreanAi2, MoE 학습 효율 2.7배 높인 오픈소스 프레임워크 '올모 코어 3' 공개

Outlet: AI Times
Published: Oct 13, 2026
Importance: 4/5

Summary

Allen Institute for AI (Ai2) released Olmo-core 3, an open-source framework that improved LLM training efficiency by redesigning the training system. On a 47-billion-parameter model, it increased GPU throughput per accelerator by approximately 2.7 times.

#moe#ai2#olmo-core

Read the originalaitimes.com · in Korean

See all →

Oct 9

Anthropic launches free AI security scans for open-source projects

Anthropic introduced OSS Scanner, offering open-source projects free periodic security vulnerability scans using its strongest models. The service provides fast, frequent scans but without human review of the model-generated reports.

The Verge AI +2 more

Oct 20

Amazon launches TorchNeuron to break Nvidia's PyTorch dominance

Amazon released TorchNeuron, a new development tool designed to reduce Nvidia's control over PyTorch, the free toolkit used to build most AI applications. The move aims to enable more developers to run AI workloads on alternative chips, including Amazon's own.

TechCrunch +1 more

Oct 21

Deepseek open-sources DeepInfer inference engine for fast, cheap model deployment

Deepseek released DeepInfer, the vLLM-based inference framework behind its V4.1-Flash model, as open-source software. The system cuts compute costs and energy use when running AI models, adding pricing pressure on Western providers like OpenAI and Anthropic.

The Decoder +1 more

Oct 23

Nvidia launches Minerva AIOps platform for AI factory observability

Nvidia launched Minerva, an AIOps platform that combines telemetry from infrastructure and AI workloads and applies purpose-built AI models to deliver actionable insights. It helps teams identify problems early and keep AI factories productive.

NVIDIA Blog