Multiverse Computing Launches Pulsar 16B Reasoning Model Powered by NVIDIA (NVDA) Architecture
Key takeaways
- On June 22, Multiverse Computing launched Pulsar 16B, an open reasoning model developed in collaboration with NVIDIA that delivers the performance of 30B-class architectures using only 16B parameters.
- Available on Hugging Face under an Apache 2.0 license, Pulsar 16B is designed to support high-concurrency workflows, document-intensive tasks, and latency-sensitive deployments.
Multiverse Computing Launches Pulsar 16B Reasoning Model Powered by NVIDIA (NVDA) Architecture Maham Fatima Sat, June 27, 2026 at 11:15 PM GMT+7 2 min read NVDA NVIDIA Corporation (NASDAQ:NVDA) is one of the best future stocks to buy and hold for 10 years. On June 22, Multiverse Computing launched Pulsar 16B, an open reasoning model developed in collaboration with NVIDIA that delivers the performance of 30B-class architectures using only 16B parameters. Built on NVIDIA's Nemotron architecture, the model uses Multiverse's proprietary CompactifAI technology to remove mathematical redundancy without requiring retraining, resulting in a model with 3.1B active parameters.The model shows significant improvements in efficiency, matching or exceeding the capabilities of larger predecessors in key benchmarks like AIME and GPQA-Diamond. When tested on NVIDIA Corporation (NASDAQ:NVDA) Blackwell GPUs, Pulsar 16B achieved a 43% increase in system throughput and reduced time-to-first-token compared to its base model, offering a more scalable option for memory-constrained or on-premises environments.
Available on Hugging Face under an Apache 2.0 license, Pulsar 16B is designed to support high-concurrency workflows, document-intensive tasks, and latency-sensitive deployments. By reducing the physical and economic overhead typically associated with frontier-grade AI, the model enables enterprises to run sophisticated agentic workflows within their own secure infrastructure.NVIDIA Corporation (NASDAQ:NVDA) is a fabless semiconductor and AI computing company that designs GPUs, AI accelerators, APIs, and SoC units. Through its CUDA ecosystem, the company enables industries ranging from autonomous vehicles to scientific research by advancing AI, accelerated computing, and data center infrastructure.While we acknowledge the potential of NVDA as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock.READ NEXT: 33 Stocks That Should Double in 3 Years and Cathie Wood 2026 Portfolio: 10 Best Stocks to Buy.Disclosure: None. Follow Insider Monkey on Google News.