Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

You don't always need an RTX 5090 to run useful models ...

SEOUL, South Korea, June 11, 2026 /PRNewswire/ -- Nota AI, a company specializing in AI model compression and optimization, announced that two of its papers on MoE-specific quantization algorithms ...

Two papers on MoE-specific quantization algorithms accepted at a workshop held in conjunction with ICML 2026 Recognition follows Nota AI's overall win at the NVIDIA Nemotron Hackathon Strengthening ...

You can now download Gemma 4 models with quantization-aware training to reduce the amount of mobile memory required to 1GB.

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the probabilities of tokens occurring in a specific order is encoded. Billions of ...

Abstract: Quantization is a critical technique employed across various research fields for compressing deep neural networks (DNNs) to facilitate deployment within resource-limited environments. This ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

Experts At The Table: AI/ML is driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge devices such as PCs and smartphones. Semiconductor ...