
NimbleEdge
428 posts

NimbleEdge
@NimbleEdgeInc
Our on-device AI powers real-time, scalable, and private experiences, without relying on the cloud. Check out https://t.co/ZXwsFozIip



PyTorch Foundation is heading to NeurIPS 2025 with a full program of workshops, sessions, and community events, including our joint booth with Cloud Native Computing Foundation (CNCF) and the Open Source AI Reception with CNCF, Anyscale, Featherless AI, Hugging Face, and Unsloth AI. Connect with PyTorch maintainers and ecosystem contributors throughout the conference this week. What to expect: Workshop: Agentic Development at the Frontier December 2, 4:00–5:00 PM PT Featuring Joseph Spisak, Davide Testuggine, Aksel Joonas Reedi, Zach Wentz, Daniel Han, Sanyam Bhutani, and Aakanksha Choudhery 🔗 hubs.la/Q03WkRbY0 Workshop: On Device/Edge AI December 3, 12:00–1:30 PM PT Featuring Cagatay Bilgin, Matthias Lecher, Andrey Tovchigrechko, Varun Khare, Vijay Janapa Reddi, Karan Goel, and Mitesh Patel 🔗 hubs.la/Q03WkMNd0 Evening Event: Open Source AI Reception December 3, 6:00–9:00 PM PT Hosted by PyTorch Foundation & CNCF with Anyscale, Featherless, Hugging Face, and Unsloth at Union Kitchen and Tap Gaslamp in San Diego 🔗 Register to secure your spot: hubs.la/Q03WkQMR0 Talk: Modular Agents and Orchestrated Coordination using Open Agentic Protocols December 4, 10:45–10:57 AM PT Featuring Matt White 🔗 hubs.la/Q03WkQwW0 Booth: Meet with Us in the Exhibit Sponsor Hall We’re proud to be a Diamond sponsor of NeurIPS 2025 alongside CNCF. Come visit us in the Exhibit Sponsor Hall A/B - Booth #723 #NeurIPS2025 #NeurIPS #OpenSource #OpenSourceAI #PyTorch








Gearing up for exciting launches and releases at Ignite this week! It’s been amazing to partner with the MS team for us @NimbleEdgeInc - can’t wait to see what’s in store for the Foundry Local and ONNX ecosystem. I will be in Moscone Center and Partner happy hour this week - looking forward to some interesting discussions!!






🚀 Excited to announce the release of ExecuTorch 1.0! Now, you can deploy PyTorch models seamlessly to edge devices—mobile, embedded, or desktop—without conversion or rewriting. ExecuTorch supports a wide range of hardware backends and model types, making on-device AI more accessible than ever. 🔗 Read the full blog from the PyTorch Team at Meta here: hubs.la/Q03PCYPW0 #ExecuTorch #PyTorch #OpenSourceAI #AI #PyTorchCon

















