Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...

Combine scalable analytics with advanced AI capabilities like LLMs and agentic tasks to create a new chipmaking platform.

Abstract: Sharding technology has become an important direction in blockchain scalability research. However, unreasonable account allocation during the sharding process has also brought about several ...

Abstract: Traditional verification methods in chip design are highly time-consuming and computationally demanding, especially for large scale circuits. Graph neural networks (GNNs) have gained ...

Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...