AI platform Clarifai announced a new reasoning engine that it claims will make running AI models twice as fast and 40% less expensive. Designed to be adaptable to a variety of models and cloud hosts, the system employs a range of optimizations to get more inference power out of the same hardware. “It’s a variety of different types of optimizations, all the way down to CUDA kernels to advanced speculative decoding techniques,” said CEO Matthew Zeiler. “You can get more out of the same cards, basically.” The results were verified by a string of benchmark tests by the third-party firm Artificial Analysis, which recorded industry-best records for both throughput and latency. The process focuses specifically on inference, the computing demands of operating an AI model that has already been trained. That computing load has grown particularly intense with the rise of agentic and reasoning models, which require multiple steps in response to a single command.