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According to monitoring by Dongcha Beating, NVIDIA has open-sourced two specialized models optimized for the agent ecosystem: the 600 million parameter real-time multilingual speech recognition model Nemotron 3.5 ASR, and the 4 billion parameter multimodal safety guard model Nemotron 3.5 Content Safety, fine-tuned from Google's Gemma-3-4B-it. The speech recognition model Nemotron 3.5 ASR employs a cache-aware architecture that supports streaming processing, adaptive punctuation, and case prediction for over 40 languages, with a single-step streaming inference latency of less than 100 milliseconds. In performance tests conducted by the third-party Pipecat team, deployment on NVIDIA L40S graphics cards achieved extremely high throughput, allowing developers to balance latency and accuracy through dynamic configuration of chunk size. The content safety review model Nemotron 3.5 Content Safety natively supports 12 languages, including Chinese and English, covering 23 safety categories. It can simultaneously evaluate user prompts, input images, and assistant responses within a single 128K token context window. In addition to determining policy violations, the model can also generate reasoning traces when outputting classification results, facilitating the auditing of safety determinations for enterprises.

On April 9, Jupiter officially announced that the Active Staking Rewards (ASR) for the first quarter of 2026 are now open for claims. A total of 50 million JUP will be distributed to eligible stakers, with the claim deadline set for July 8, 2026.

Jupiter officially announced that the second quarter Active Equity Pledge Reward (ASR) is now open for application.