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Say Goodbye to Long Text Anxiety: RedKnot Reasoning Engine from Xiaohongshu Open Sourced, Long Context Processing Efficiency Doubles

Xiaohongshu open-sourced RedKnot inference engine, solving speed and cost challenges in long-text generative AI. Its core innovation breaks token-dimension storage in traditional KV Cache, offering a cost-effective solution for long-context tasks.....

15.1k 8 hours ago

Fast Speed! JD Cloud Launches MiniMax M3 Large Model, Achieving a Leap in Inference Efficiency

MiniMax M3 model officially launched, integrated with JD Cloud JoyBuilder platform. Key highlight: significantly improved inference performance via self-developed framework, PD separation, KV Cache, and speculative sampling for enhanced efficiency.....

13.1k 3 hours ago

Memory Anxiety Terminator: Google Launches TurboQuant to Shrink Large Models by Six Times

Google introduced TurboQuant technology, which effectively addresses the memory bottleneck in large language model inference by compressing the KV cache. It significantly reduces memory usage without compromising accuracy, improving efficiency for processing long texts and complex tasks.

22.7k yesterday

Memory Anxiety Terminator: Google Launches TurboQuant to Shrink Large Models by Six Times

xLLM Community Unveils Open-Source Inference Engine on December 6th: Supports MoE, T2I, T2V Full Scenarios, Achieves Latency Below 20ms with Mooncake Caching Solution

xLLM Community's first offline Meetup on Dec 6 focuses on building open-source AI Infra ecosystem. Features xLLM-Core inference engine with sub-20ms P99 latency for MoE, text-to-image/video tasks, 42% lower latency and 2.1× throughput vs vLLM. Technical highlights include unified computation graph and Mooncake KV cache optimization.....

12.7k 3 days ago