Real-time LLM Inference on Standard GPUs: 3k tokens/s per request
Kog AI announced a real-time LLM inference engine capable of 3,000 tokens per second per request on standard GPUs, including the NVIDIA RTX 4090. The engine leverages optimized kernel fusion, memory management, and speculative decoding to achieve this throughput. According to the blog post, this performance is comparable to specialized hardware like H100s but at a fraction of the cost. The engine is available as an open-source library on GitHub, with support for models up to 7B parameters. Developers can integrate it via a simple API. This breakthrough allows running large language models locally on consumer GPUs for real-time applications, reducing reliance on cloud inference services.
Enables real-time LLM inference on consumer GPUs, reducing latency and cost for interactive AI applications.