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 ...

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

Embedded systems demand high performance with minimal power consumption, and the optimisation of scratchpad memory (SPM) plays a critical role in meeting these stringent requirements. SPM, a small ...

Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.

As new technology nodes have become available, memory has been one of the most aggressive semiconductor applications to adopt advanced process technology. The relentless demand by users of electronic ...

Fine-tuning large language models in artificial intelligence is a computationally intensive process that typically requires significant resources, especially in terms of GPU power. However, by ...

Linux is a powerful and flexible operating system, widely used in servers, embedded systems, and even personal computers. However, even the best-configured systems can face performance bottlenecks ...