Kimi K2 Integrations

Kimi is an intelligent assistant with a large "memory" that can read a 200,000-word novel in one go and surf the Internet. Kimi can understand and process long documents, helping you quickly summarize analysis reports, financial reports, etc., saving time in reading and organizing. When preparing for exams or researching new fields, Kimi can help you understand and summarize large amounts of textbooks or professional papers. If you work in programming or technology, Kimi can help you reproduce code or provide technical solutions based on your code or pseudocode from your paper. Kimi has significant advantages in Chinese and can handle multi-language documents, helping you communicate and understand more efficiently in international work. Kimi Chat can also play your favorite game characters, have interesting conversations with you, and provide entertainment and relaxation.

NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.