TypeSafe AI scales Jev to trillions of tokens in three days on Modal | Modal Blog

This post details how TypeSafe AI scaled their System One Model, Jev, to trillions of tokens in three days on Modal. It highlights Modal's ability to handle bursty, high-concurrency workloads with ultra-low-latency inference, enabling TypeSafe to focus on model development rather than infrastructure management. The post emphasizes Modal's suitability for new classes of frontier models beyond traditional LLMs, specifically mentioning Jev's parallel sampler and RLCD training method, and its output of typed, structured values with probabilities.