Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

SK Hynix, Samsung and Micron shares fell as investors fear fewer memory chips may be required in the future.

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

The technique reduces the memory required to run large language models as context windows grow, a key constraint on AI ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

Google announced TurboQuant, a memory compression tool that shrinks the memory required to run an AI model by a significant ...

Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...

Intel's new Arc Pro cards flex 32GB of memory, aiming squarely at demanding AI pipelines and model-heavy workloads.

What if your AI could remember every meaningful detail of a conversation—just like a trusted friend or a skilled professional? In 2025, this isn’t a futuristic dream; it’s the reality of ...

In the fast-paced world of artificial intelligence, memory is crucial to how AI models interact with users. Imagine talking to a friend who forgets the middle of your conversation—it would be ...