Models & Labs
IBM and Confluent Enhance Real-Time Data Intelligence
Hugging Face Bloghigh confidence
Why it matters
- →Integrating time series models with real-time data streams enhances decision-making speed and accuracy.
- →Native inference capabilities reduce the complexity and cost of deploying machine learning models.
- →The collaboration empowers domain experts to utilize advanced analytics without extensive data science expertise.
IBM and Confluent have partnered to bring IBM's Granite Time Series Models to Confluent's data streaming platform, enhancing real-time data processing capabilities. This integration allows businesses to perform forecasting and anomaly detection directly on streaming data, eliminating the need for separate machine learning platforms. With native inference capabilities in Confluent Cloud, users can run these models within Apache Flink, ensuring secure and cost-efficient data processing. This collaboration aims to streamline the deployment of time series models, enabling faster decision-making and improved operational efficiency.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1
More from Hugging Face Blog
More in Models & Labs
Models & Labsmodels
llama.cpp b12029 adds CUDA 13 and Snapdragon support
This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.
llama.cpp Releases
© The Verge AIModels & Labsother
