Multiverse Computing just dropped Pulsar 16B, an open-source reasoning model that punches well above its weight class. Built on Nvidia’s Nemotron architecture, the model packs 16.15 billion parameters but only activates about 3.1 billion of them at any given time, delivering performance that the company says is competitive with models twice its size.
The trick behind that efficiency has a name: CompactifAI, Multiverse’s proprietary compression technology.
The numbers behind the hype
Pulsar 16B achieves a system throughput of 4,808 tokens per second, which Multiverse says represents a 43% increase when running on Nvidia’s Blackwell GPUs. That throughput figure accounts for handling multiple concurrent requests, not just a single user asking it to write a haiku about blockchain.
Time-to-first-token dropped to 1.24 seconds from 2.18 seconds. At enterprise scale, where hundreds or thousands of queries hit the system simultaneously, shaving nearly a full second off initial response time is meaningful.
