Artificial Intelligence Research - Qualcomm
“We are advancing machine learning research across the entire spectrum of topics, including fundamental technology, platform innovation, and applied use cases. Our holistic systems-approach to full-stack AI is accelerating the pipeline from...
Qualcomm AI Products | Intuitive AI Technology | Qualcomm
Discover how Qualcomm AI technology transforms both LLMs, AI Agents, and computing in mobile, PCs, automotive, and IoT.
Qualcomm AI Hub
Easily deploy optimized AI models on Qualcomm® devices to run on CPU, GPU, or NPU using TensorFlow Lite, ONNX Runtime, or Qualcomm® AI Engine Direct.
AI for Developers - Qualcomm
Qualcomm's AI solutions are designed to help developers optimize and deploy AI models quickly by supporting AI frameworks and runtimes, developer libraries, system software, and popular operating systems.
Why Qualcomm AI Orchestrator is the key to next generation AI ...
Discover how Qualcomm AI Orchestrator enhances on-device AI with personalized, multimodal support, improving privacy and responsiveness.
NPU AI Engine - Qualcomm
Learn how Qualcomm developed the NPU to build a unique processor build that processes AI models faster than the competition.
Mobile AI Solutions | On-Device AI Benefits - Qualcomm
Learn about the advantages of AI on-device, such as improved user privacy and enhanced application performance. Unlock the power of mobile AI today.
All Models - Qualcomm AI Hub
Qualcomm® AI Hub simplifies deploying AI models for vision, audio, and speech applications to edge devices within minutes. This example shows how you can deploy your own PyTorch model on a real hosted device.
2 billion products featuring the Qualcomm AI Engine – powering an unmatched range of device categories including smartphones, XR, tablets, PCs, security cameras, robots, vehicles, and more. 1 The Qualcomm AI Stack unifies our complementary AI software offerings into a …
Mistral AI - Qualcomm AI Hub
"This collaboration with Qualcomm Technologies is a significant milestone for Mistral AI, demonstrating the ability of our new models to run locally on devices powered by Snapdragon platforms, resulting in faster local processing that can help reduce cost and energy demands.