Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.
This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.
Tencent showcased its three core AI solutions to the world: ‘MagicDawn,’ ‘VISVISE,’ and ‘ACE.’ According to Tencent, the most decisive shift in its AI technology this year, compared to last year, is ...
Wearables and robots are getting smarter at recognizing objects, following commands, and navigating spaces—but they still struggle with something humans ...
Inferencing at the edge has very different needs than training large language models or large-scale inferencing in AI data centers. Many edge devices run on a battery. They’re price-sensitive, and ...
Cortex 3.0 delivers AI-powered code generation, vulnerability scanning, Enterprise AI & DevSecOps integrations, ...
Researchers have developed an AI image generator that produces images in just four steps, rather than dozens.
The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.
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