AMD Taalas acquisition targets the memory bottleneck limiting GPU inference: Taalas encodes model weights permanently into ...

The high-bandwidth memory (HBM) shortage reflects surging AI infrastructure demand and rising data center spending. ・Lower-memory chips could require AI companies to deploy more GPUs for large models.

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 ...

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 ...

TL;DRStandard C++ allocator benchmarks measure throughput under synthetic load but ignore how mixed object lifetimes fragment the heap over long runtimes. Maksim Martynov, Lead Programmer at Playrix ...

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 ...

For all their superhuman power, today’s AI models suffer from a surprisingly human flaw: They forget. Give an AI assistant a sprawling conversation, a multi-step reasoning task or a project spanning ...