Maybe someday truly autonomous, continuous learning and deployment will be the reality, but AI is not a "Set it and forget it" tool. For now, models rely on human control for both new input and output. Customizable platforms like Qualcomm Dragonfly are designed to make better inference and faster deployment happen with purpose-built, end-to-end solutions.
About us
Inspired by 250 years of American ingenuity, we build technologies that expand what’s possible. From wireless to AI at scale and 6G, our innovations power progress worldwide.
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https://www.qualcomm.com/
External link for Qualcomm
- Industry
- Semiconductor Manufacturing
- Company size
- 10,001+ employees
- Headquarters
- San Diego, CA
- Type
- Public Company
- Specialties
- Semiconductors, Wireless, Mobile, Networking, Wi-Fi, Small Cells, Wireless Power, Augmented Reality, Location Services, Internet of Things, Automotive, 5G, PC computing, and Bluetooth
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Qualcomm
San Diego, CA 92121, US
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2 Whitefield Road
Bengaluru, Karnataka 560066, IN
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Hitech City Road
Hyderabad, TS 500081, IN
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Updates
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Everyone's racing for peak compute, but AI inference is often limited by memory. When compute has to wait on data, efficiency suffers. Qualcomm High Bandwidth Compute (HBC) takes a different approach by moving compute closer to the data, helping reduce bottlenecks and improve efficiency while delivering an estimated 6x increase in bandwidth per watt vs. HBM and 200x increase in capacity per watt vs. SRAM. Read more: https://bit.ly/44Tlzt7
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Muse Glimmer, the open-weight LLM from AI at Meta, is optimized to leverage Snapdragon's industry-leading on-device AI performance and efficiency. We support an open AI ecosystem and look forward to seeing developers build the next generation of personalized, always-on agentic AI experiences.
Introducing Muse Glimmer, an open-weight 30-billion-parameter model optimized for always-on local agent workflows. Keeping with our long tradition of sharing fundamental AI research, we’re releasing the weights under a permissive Apache 2.0 license. Muse Glimmer is small enough to run on consumer hardware like a Mac or PCs with performant GPUs, supporting local agents and function calling, local coding, and LLM-as-a-judge evaluation. The model delivers strong performance on key agentic use cases and benchmarks compared with leading models in its size category. Most foundation model deployments still depend on cloud infrastructure and network access. Running locally means AI that works anywhere, with or without a connection. Muse Glimmer is optimized for exactly that. 🔗 Read the research blog: https://lnkd.in/enw7a4St 🔗 Download Muse Glimmer on Hugging Face: https://lnkd.in/eK6x9MQc 🔗 Find resources: https://lnkd.in/eQ9GWHxE
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You don't need an AI-powered humanoid robot running on 18 Oryon CPU cores to tell you that the best place to learn about industrial-grade hardware, on-device autonomy, and seamless AI deployment is the Qualcomm Dragonwing page. But here it is.
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This Week in #AI: 🔵 Vision AI meets the factory floor with defect detection, worker safety monitoring, and digital twin visualization on Qualcomm Dragonwing IQ-9075: https://bit.ly/4fZ22fM 🔵 In partnership with the EDGE AI FOUNDATION, we are challenging developers to build on-device AI solutions that support public safety and disaster preparedness: https://bit.ly/4gicLmN 🔵 The #ObserverPowerIndex highlights Qualcomm President and CEO Cristiano R. Amon among the leaders driving the next wave of AI innovation: https://bit.ly/4yZXejb
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The path to 6G is taking shape and the timeline for Release 21 is now officially locked in. What do these new milestones mean for device and infrastructure manufacturers? Get the full timeline and key 6G technology considerations in our latest blog post: https://bit.ly/45g7rdz
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To understand what’s next for #AI, you first have to understand how computing architecture is evolving. The traditional model has long been devices collecting data and the cloud doing the thinking. Agentic AI is ushering in a new era, one where intelligence is distributed across devices, the edge, and the data center. Each layer plays a distinct role, contributing its unique strengths to create systems that are more responsive, capable, and efficient. Learn more:
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Qualcomm reposted this
Modular has joined Qualcomm, and it's a big moment for MAX, Mojo, and our developer community. Join us on Monday, 8/10, for a live Ask Us Anything, featuring: Chris Lattner, Modular cofounder & CEO, now EVP of Advanced AI Software & Platforms at Qualcomm Tim Davis, Modular cofounder & president, now SVP & GM of Modular at Qualcomm Durga Malladi, EVP and GM, Technology Planning, Edge Solutions & Data Center at Qualcomm Submit questions in advance: https://lnkd.in/gq8b8VkS RSVP to the livestream: https://lnkd.in/g2Fp6wzz
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Bigger models and faster compute have shaped the AI conversation for years, but each new era of #AI brings new ways to measure leadership.
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Great innovation starts with great collaboration. Qualcomm's long-standing partnership with Samsung Electronics is built on a shared commitment to advancing mobile technology through engineering excellence, technical collaboration and a shared vision for what's next.