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Oct 22, 2026 · ThursdayOut daily at 08:00 (UTC+8)

AI Daily · Oct 22, 2026 · Thursday

No. 2022October 2026Thursday
9stories7sources7first-hand releases2new modelsAbout 4 min to read

DeepSeek open-sources production inference stack DeepInfer, handling 155T tokens a day per cluster

AI summary

DeepSeek has open-sourced DeepInfer, the production inference engine behind V4.1 Flash, and released the companion deepseek-recipe protocol conversion library, with support for NVIDIA SM100 and Huawei Ascend 950. On the same day, models from OpenAI and Google found a critical PHP vulnerability that could affect millions of websites, while NVIDIA released Kumo Relational, a relational foundation model that predicts without training.

Written from 9 admitted items in this issue7 sources

01

Model releases

Hugging Face BlogFirst-hand

NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required

NVIDIA Kumo Relational is a pre-trained relational foundation model that makes predictions directly on enterprise databases. Given a predictive query, it gathers up to 10,000 historical examples as context and predicts outcomes such as churn, demand, or fraud in a single forward pass. It needs no task-specific training, no feature engineering, and no flattening of tables.

NVIDIA BlogFirst-hand

NVIDIA Open Models Advance Europe’s Sovereign Intelligence Across Industries

NVIDIA is expanding its family of open models across language, robotics, biology, and quantum computing, giving developers, researchers and enterprises what they need to build applications tailored to local languages and industries The portfolio includes the new NVIDIA Nemotron 3.5 Super VL and Nemotron 3.5 Bolt models; new NVIDIA Nemotron Retriever models for embedding, reranking and document parsing; the new NVIDIA Kumo family open weight foundation models and libraries for structured business data; NVIDIA Cosmos 3.5 world models; NVIDIA Alpamayo 2 Edge for autonomous vehicles; NVIDIA BioNeMo for healthcare and scientific discovery; and NVIDIA Ising for quantum computing.

02

Industry

03

Research

Microsoft ResearchFirst-hand

Solving a 31-year-old grand challenge in mathematics – the KLS conjecture

For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995.

04

How-to and opinion

End of issue

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