As large language models increasingly take on reasoning-intensive tasks in areas like math and science, their output lengths are getting significantly…
As large language models increasingly take on reasoning-intensive tasks in areas like math and science, their output lengths are getting significantly longer—sometimes spanning tens of thousands of tokens. This shift makes efficient throughput a critical bottleneck, especially when deploying models in real-world, latency-sensitive environments. To address these challenges and enable the…
