The research behind the future of technologies, from 6G to AI to compute and beyond.
San Diego, CA
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.@Qualcomm just pulled back the curtain on 6G.
@JohnEdwardSmee breaks down how AI, sensing, and #6G are converging — powering everything from autonomous robotics to physical AI.
This is what the next decade of connectivity looks like.
Watch the full breakdown 👇
piped.video/watch?v=E0rDLg1r…
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What happens when 5G Advanced, agentic AI, satellite connectivity and Wi-Fi 8 converge?
The @Qualcomm Dragonwing FWA Gen 6 Elite Platform is reimagining fixed wireless access for faster, smarter and farther-reaching broadband, with a path toward 6G.
Read more: qualcomm.com/news/onq/2026/1…
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Powering the future of on-device AI. 🚀
Explore open models from @Qualcomm #AI Research on @huggingface — from text-to-video generation (MobileWan) to efficient speech & vision models like BamiBERT, optimized for the edge.
🔍 Dive in: huggingface.co/Qualcomm-AI-R…
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NextG innovation takes an ecosystem. @Qualcomm is proud to collaborate with @NSF and partners across industry, academia and government as NSF invests $110M+ to advance next-generation wireless tech and turn innovation into real-world impact.
nsf.gov/tip/updates/nsf-inve…
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The edge-cloud split is becoming the defining architecture question of the AI era. When ambient AI runs on-device, it's not just a performance play — it changes the entire UI paradigm. Great discussion with @durga_malladi at #SnapdragonSummit on how @Qualcomm sees this unfolding.
piped.video/UBIwywMG72U?si=wdJU…
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Qualcomm Research & Technologies retweeted
Can 6G keep up with the next generation of AI experiences? 📡
As AI applications move between text, audio and video, network demands can change in seconds. How can 6G adapt to these evolving needs and deliver a consistently better user experience?
At this webinar, Dr. Gavin Horn of @Qualcomm Technologies, Inc. and Sean Kinney of RCRTech will explore how AI-native 6G could enable smarter connectivity through on-device intelligence, dynamic QoS, adaptive radio protocols and faster coordination between devices and networks.
Discover what it will take to build networks ready for AI experiences that are still to come.
👉 Register now: hubs.ly/Q04B0v6t0
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AI apps are outpacing the networks carrying them. One agent session can jump between text, audio, and video faster than the network can adapt. So, what does a #6G #AI-native network look like? Our team at @Qualcomm breaks it down. Tomorrow.👇
fierce-network.com/premium/w…
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The future of mobile isn't a screen you hold — it's intelligence you wear.
As AI moves into smartglasses and wearables, networks must evolve. 5G delivers the foundation today. 6G will scale it.
CSPs, #AI is expanding into mobile experiences. 👇
AI-driven #XR means busy traffic, low latency, tight jitter, and multi-device coordination.
#5G carries the early load; #6G scales it. 📈
See what changes for your network. ➡️ Read more: m.eric.sn/M1LB50ZQawS
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Qualcomm Research & Technologies retweeted
@Qualcomm has spent years taking its mobile tech into automotive, IoT, PCs and now data centers; agentic AI is the thread that connects those businesses. Sean Kinney has the story. hubs.ly/Q04yrXNt0
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Memory architecture is becoming a key differentiator in AI systems. This conversation between @durga_malladi and @austinsemis explores how HBC differs from HBM, why it matters, and where the industry could be headed next.
@Qualcomm @Snapdragon #SnapdragonSummit
🎙️ NEW EPISODE: Qualcomm's HBC vs HBM, Dragonfly AI 250, and Winning on TCO
Austin sits down with Qualcomm's Durga Malladi live in Maui to talk HBC (High Bandwidth Compute). HBC is Qualcomm's differentiated bet to win data center inference workloads.
HBM shuttles data across wide buses to a separate accelerator. HBC puts compute directly on the stacked DRAM's logic die.
- HBM is fast but power-hungry; HBC drops latency AND power per bit
- 18x effective bandwidth on the AI 250 at the SAME 768 GB and SAME 160 kW
- A trillion-parameter FP4 model on a single card
- Foundry + memory-vendor relationships de-risk multi-megawatt supply at scale
Chapters:
0:00 Introduction
2:49 The Memory Wall Problem
8:05 HBC Physical Architecture
9:33 HBC vs. Custom HBM
11:50 Silicon Proof Points Coming
12:08 Managing Thermals
13:34 Dragonfly AI 250
14:48 Trillion-Parameter Model on One Card
16:56 Tokenomics and TCO
18:26 Why TCO is Key
19:26 Manufacturing at Scale
Get more of Austin and Vik daily, free!
Sign up: daily.semidoped.com/
Connect with Vik and Austin:
Vik's Paid Substack: viksnewsletter.com
Austin's Paid Substack: chipstrat.com
@austinsemis @vikramskr @Qualcomm @Snapdragon
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Qualcomm Research & Technologies retweeted
How is HBC different from HBM. Why that matters. And more! Fun insightful chat with @durga_malladi
🎙️ NEW EPISODE: Qualcomm's HBC vs HBM, Dragonfly AI 250, and Winning on TCO
Austin sits down with Qualcomm's Durga Malladi live in Maui to talk HBC (High Bandwidth Compute). HBC is Qualcomm's differentiated bet to win data center inference workloads.
HBM shuttles data across wide buses to a separate accelerator. HBC puts compute directly on the stacked DRAM's logic die.
- HBM is fast but power-hungry; HBC drops latency AND power per bit
- 18x effective bandwidth on the AI 250 at the SAME 768 GB and SAME 160 kW
- A trillion-parameter FP4 model on a single card
- Foundry + memory-vendor relationships de-risk multi-megawatt supply at scale
Chapters:
0:00 Introduction
2:49 The Memory Wall Problem
8:05 HBC Physical Architecture
9:33 HBC vs. Custom HBM
11:50 Silicon Proof Points Coming
12:08 Managing Thermals
13:34 Dragonfly AI 250
14:48 Trillion-Parameter Model on One Card
16:56 Tokenomics and TCO
18:26 Why TCO is Key
19:26 Manufacturing at Scale
Get more of Austin and Vik daily, free!
Sign up: daily.semidoped.com/
Connect with Vik and Austin:
Vik's Paid Substack: viksnewsletter.com
Austin's Paid Substack: chipstrat.com
@austinsemis @vikramskr @Qualcomm @Snapdragon
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AI is moving fast. Networks need to keep up.
As AI assistants, multimodal agents, XR experiences, and physical AI systems get more interactive, connectivity must evolve from moving data to understanding and anticipating application needs.
Join @Qualcomm for a discussion on how agentic AI could reshape network design and the path to 6G.
📅 Sept. 30, 2026 | 11:00 AM ET
🔗 fierce-network.com/premium/w…
#AI #AgenticAI #6G
Made with AI
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Qualcomm Research & Technologies retweeted
Key compute considerations when designing #AiPhone
According to @cristianoamon
#SnapdragonSummit @Qualcomm
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Qualcomm Research & Technologies retweeted
At the heart of #Snapdragon8EliteGen6 #5G modem RF system with #NTN #satellite connectivity
#SnapdragonSummit @Qualcomm @Snapdragon
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Qualcomm Research & Technologies retweeted
.@liquidai CEO @ramin_m_h in discussion with @cristianoamon on what will take #OnDeviceAI to next level
1. #DeviceAI model performance should be similar to #Frontier #LLM running in cloud
2. Context transfer between all devices
3. Need for Tools
4. Models should consider device constraints
5. Developers, Developers, Developers
Also announces a new LiquidAI instance for @Snapdragon #Hexagon #NPU
Is working with @MercedesBenz on in-car #AiModels
#SnapdragonSummit @Qualcomm
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