| | | Voop, re: AI on a laptop? It's more realistic than you think- Register QCOM sponsored article
likens it to the shift he saw as PCs replaced mainframes.... On-device AI promises the same evolution for AI computing,
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Upendra Kulkarni, VP of product management at Qualcomm Technologies Inc , >>>>
Speaking about the Snapdragon® X Series processors are a major catalyst for local on-device AI, thanks to their neural processing units (NPUs).
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There's a shift happening in personal computing thanks to the rise of on-device AI. That's comparable to previous computing revolutions including the cloud itself, and mobile computing. Upendra Kulkarni, VP of product management at Qualcomm Technologies Inc , likens it to the shift he saw as PCs replaced mainframes.
"We used to program on IBM 3090 and DEC VAX PDP-11 computers tucked away on a campus far away from you," he recalls. "You had in front of you a simple terminal, a display and a keyboard, and all the compute was somewhere else that you didn't see". Then came the PC, which localized a lot of the compute. The centralized computing resource didn't go away, but the PCs complemented it. On-device AI promises the same evolution for AI computing, he says.
CoPilot >>>>>>>>>>>>>>>>>
Q- Which company is leading On-Device AI >>>
A- As of 2025, the company leading on-device AI—especially in terms of generative AI capabilities, developer access, and real-world deployment—is Qualcomm.
?? Why Qualcomm Leads On-Device AI
1. Hardware Dominance
- Snapdragon chips (like Snapdragon 8 Gen 3 and Snapdragon X Elite) deliver up to 45 TOPS of AI compute.
- Integrated Neural Processing Units (NPUs) are optimized for running large language models (LLMs), vision models, and multimodal AI directly on-device.
2. GENIE Software Stack
- Qualcomm’s Gen AI Inference Extensions (GENIE) allow developers to run complex generative AI models locally.
- Supports models like Llama 2, Stable Diffusion, and multimodal assistants—without needing cloud infrastructure.
3. Developer Ecosystem
- The Qualcomm AI Hub provides pre-optimized models, sample apps, and SDKs for easy deployment.
- Full access to the AI Engine Direct SDK, enabling custom model execution on mobile, PC, and automotive platforms.
4. Real-World Deployment
- Samsung Galaxy S24 Ultra, Lenovo AI PCs, and upcoming automotive platforms are already using Qualcomm’s on-device Gen AI.
- These devices support features like real-time summarization, image generation, translation, and chatbot-style interactions—all locally.
How Others Compare
Company
| On-Device AI Strengths
| Limitations
| Apple
| Efficient Neural Engine for system tasks
| No support for custom Gen AI models
| Google
| Tensor chips in Pixel phones
| Limited developer access to full Gen AI
| MediaTek
| AI enhancements in mid-range devices
| Less powerful NPU, no Gen AI support
| NVIDIA
| Dominates cloud AI, emerging in edge AI
| Focused on data centers, not mobile
| Verdict
Qualcomm is the clear leader in on-device AI for 2025—not just in hardware performance, but in enabling real generative AI experiences across mobile, PC, and embedded platforms. It’s the only company offering a full-stack solution that developers can use today to deploy LLMs and multimodal models locally. |
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