Image created with GPT Image 1. Image prompt: A gold-armored cloak with GPU heat sink ridges and emerald velvet lining sways as a techno-baritone ascends stairs flanked by pixelated lions and holographic fire; light pulses through the stitching like rendered ray tracing, honoring hardware’s role in creative Black futurity.
Nvidia released Parakeet V2, a new open-source automatic speech recognition AI —Transcribes an hour of audio in a second —Top model on the Open ASR, beating ElevenLabs’ Scribe and OpenAI’s Whisper —6.05% Word Error Rate —Available under CC-BY-4.0 license https://x.com/rowancheung/status/1919656472574615857
🏆 With our new Parakeet model (parakeet-tdt-0.6b-v2), we have achieved a new standard for automatic speech recognition (ASR) with an 👀 industry-best 6.05% Word Error Rate on the @HuggingFace Open-ASR-Leaderboard. 🦜 Parakeet V2 takes performance to the next level with https://x.com/NVIDIAAIDev/status/1917976429939351944
The next wave of AI is physical AI. https://x.com/TheHumanoidHub/status/1918557276924739769
Nvidia presents Llama-Nemotron: Efficient Reasoning Models – An open family of models w/ exceptional reasoning capabilities and inference efficiency – Discusses the training procedure, incl. NAS from Llama 3 for accelerated inference, knowledge distillation, and continued https://x.com/arankomatsuzaki/status/1919236158351147087
Nvidia just open sourced Parakeet TDT 0.6B – the BEST Speech Recognition model on Open ASR Leaderboard 🔥 Can transcribe 60 minutes of audio in 1 second 🤯 600M parameters, with CC-BY-4.0 license (commercially permissive) Congrats Nvidia on the brilliant release and beating https://x.com/reach_vb/status/1919422953256587376
Forget everything you know about transcription models – NVIDIA’s parakeet-tdt-0.6b-v2 changed the game for me! – 6% word error rate (best in class) – incredible speed ( RTFx: 3386.02) – cc-by-4.0 license https://x.com/fdaudens/status/1918325068020760967
Nvidia’s state-of-the-art Parakeet ASR model has an MLX implementation! The 0.6B model is at the top of the Hugging Face ASR leader board and runs super fast locally with MLX. https://x.com/awnihannun/status/1919984733968040030
nvidia/parakeet-tdt-0.6b-v2 · Hugging Face https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2
Llama-Nemotron: Efficient Reasoning Models NVIDIA introduces the Llama-Nemotron series of models, an open family of heterogeneous reasoning models that deliver exceptional reasoning capabilities, inference efficiency, and an open license for enterprise use. “As of April 2025, https://x.com/iScienceLuvr/status/1919234521171693844
Meta Enters The Token Business, Powered By Nvidia, Cerebras And Groq https://www.forbes.com/sites/karlfreund/2025/04/29/meta-enters-the-token-business-powered-by-nvidia-cerebras-and-groq/
Huawei aims to take on Nvidia’s H100 with new AI chip | TechCrunch https://techcrunch.com/2025/04/28/huawei-aims-to-take-on-nvidias-h100-with-new-ai-chip/
NVIDIA’s CEO, Jensen Huang, shared his thoughts on the AI race with China, saying: —The country has great capability and is ‘right behind’ the U.S —Huawei has everything to advance AI (in terms of infra) —It’s a long-term, infinite competition https://x.com/rowancheung/status/1917844219571454027
Exclusive: US lawmaker targets Nvidia chip smuggling to China with new bill | Reuters https://www.reuters.com/world/us/us-lawmaker-targets-nvidia-chip-smuggling-china-with-new-bill-2025-05-05/
Modular’s 25.3 release is a big step: beyond adding a ton of features, it is now also open and free to use both on CPUs and on NVIDIA. We aim to be the most open GenAI platform out there – surpassing existing tech with Apache2 GPU kernels, not just serving infra. Check it out!🚀” / X https://x.com/clattner_llvm/status/1919808113773027621
Nvidia dropped Llama-Nemotron on Hugging Face Efficient Reasoning Models https://x.com/_akhaliq/status/1919324939934453928
RADIO – a nvidia Collection https://huggingface.co/collections/nvidia/radio-669f77f1dd6b153f007dd1c6
NVIDIA just open sourced Open Code Reasoning models – 32B, 14B AND 7B – APACHE 2.0 licensed 🔥 > Beats O3 mini & O1 (low) on LiveCodeBench 😍 Backed by OCR dataset the models are 30% token efficient than other equivalent Reasoning models Works with llama.cpp, vLLM, https://x.com/reach_vb/status/1920223688919486496
