Intellectual hub of the topic
AI: Events
Infrastructure
We explore how priority-based elastic scheduling helps run AI models across multiple regions and clusters without incurring unnecessary costs.
AI: Events
Products
Liquid AI has introduced LFM2-24B – its largest language model, featuring an unconventional architecture and the ability to run both in the cloud and on local devices.
Liquid AI has introduced LFM2-24B, a 24-billion-parameter language model capable of outperforming larger competitors with significantly lower memory requirements.
AI: Events
Technical context • Infrastructure
AMD has unveiled Primus, an implementation of pipeline parallelism for large model training that eliminates idle time and flexibly adapts to various tasks.
AI: Events
Technical context • Infrastructure
NVIDIA and LMSYS tested the DeepSeek model on the latest GB300 accelerator. The results showed a significant improvement compared to the previous generation.
AI: Events
Technical context • Security
Cursor has implemented an isolated environment for AI agents on macOS, Linux, and Windows to reduce interruptions and enhance operational security.
AI: Events
Infrastructure
AMD has shared its progress in supporting AI models on its GPUs: from basic compatibility to optimized performance comparable with competitors.
AI: Events
Development
The Chinese company has open-sourced the HY-1.8B-2Bit model with 2-bit quantization – it weighs less than many mobile apps.
AI: Events
Technical context • Infrastructure
We explore how Gang Scheduling technology helps efficiently allocate resources for training AI models and why striking a balance between rigidity and flexibility is crucial.
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