Although Qualcomm is a company focused above all on the world of chip design and manufacturing for various types of devices, including smartphones, portable devices and automotive, its managers do not want to stay only in these sectors.
They have made it very clear at CES 2025, to which they have not only brought their latest developments in processors, with their Snapdragon They have also shown their advances in components for smart vehicles and homes, cloud services for different sectors of the business world and even a local AI system for different verticals.
The commitment to the automotive and smart home
Qualcomm has confirmed that it is going to increase its collaborations in the automotive sector, in which it already has agreements with Alps Alpine, Amazon, Leapmotor, Mahindra, Hyuindai Mobis and Royal Enfield. They are all using the solutions Snapdragon Digital Chassis for the development of AI-powered cockpits, but also for that of advanced driving assistance systems (ADAS).
The company has also confirmed the good momentum of its automotive platforms Snapdragon Elitehighlighting the work they have done with Desay, Garmin and Panasonic Automotive in the development of Snapdragon Cockpit Elite.
As to Smart Home 2.0Qualcomm’s suite of smart home initiatives, the company has brought to CES new AI chatbots embedded in home appliances, advanced smart TVs, and even humanoid robots. Its managers see 2025 as the year that the concept of Smart Home 2.0 will begin its journey, with the appearance of significant advances born from the integration of generative AI in different products at the edge.
New version of the Aware platform, a cloud service for companies
The evolution of the Aware cloud platform has also arrived during CES. It is a cloud-based service that gives companies what they need to equip their devices with location, visibility and monitoring functions for connected devices, so that they can develop Internet of Things solutions that meet the needs specific needs of consumers and companies from different types of sectors. Among them, those in logistics, retail, energy, smart home or robotics.
For its role in the IoT sector, Qualcomm Aware In the future, it will be pre-integrated into various Qualcomm chipsets and elements, as well as third-party hardware, which will provide value to both manufacturers and assemblers as well as users of all types. Whether they are companies, distributors, sellers or consumers.
Qualcomm Aware allows you to integrate observability and information, geolocation, precise indoor positioning, firmware updates and device management services to connected devices. This means that manufacturers can get new information about the connected devices they sell, and that they can take preventive measures to fix and resolve problems and failures they may have.
Additionally, retailers can better understand how often their highest-value inventory drops below a certain value, or receive alerts if product theft occurs. Distributors will be able to use the platform to check and review the delivery efficiency and accuracy of their fleets, and users can increase the lifespan of their devices by always having them equipped with the latest features, software and operating systems. recent.
Qualcomm AI On-Prem Appliance Solution, for advanced on-premises AI
Another of Qualcomm’s novelties for companies is a hardware device, which can be mounted on a wall or placed on a desk, which allows companies that use it to perform computer vision tasks, or generative AI inference on dedicated hardware. locally.
Qualcomm AI On-Prem Appliance Solutions It can be used with AI Inference Suite, a set of software and services developed by the company and designed to facilitate AI inference tasks that encompass on-premises solutions and cloud deployments.
With it, it is possible to use generative AI by leveraging the company’s own data safely, adjust models and prepare the technological infrastructure to automate processes carried out by humans and machines, as well as applications, in practically any end environment. These include stores, quick service restaurants, dealerships, hospitals, factories or assembly plants.
The combination of the two allows small and medium-sized businesses, as well as large enterprises and all types of organizations to run custom AI applications designed by third parties on their premises. Even for generative AI workloads. Running AI inference on-premises can deliver significant savings in operations costs as well as total cost of ownership compared to the cost of renting third-party AI infrastructure.
This hardware solution for working with AI locally is driven by the Qualcomm Cloud AI accelerator roadmap. It combines the accessibility and performance of a data center inference service with the efficiency in consumption, weight, form factor, data privacy, customization and control that an on-premises solution offers.
It allows you to use a single solution or a group of them working as a cluster to offer different types of local services. Among them voice agents; downloading small, large and multimodal language models; retrieval augmented generation (RAG) features for summarization and intelligent indexed search, agent AI, AI workflow automation, image or code generation, computer vision, and camera image processing.
The platform is compatible with various generative AI, natural language processing and computer vision models, both open source and proprietary. This makes it possible to implement automation workflows for a multitude of enterprise applications of all types, from intelligent multilingual search, personalized AI assistants and agents, to code generation, summary creation and automated note taking. It incorporates Camera AI, with image, video and streaming processing functions for computer vision applications focused on security, reliability and monitoring.
Qualcomm AI Inference Suite for On-PremIn addition, it allows both enterprise clients and external developers to have a set of tools and libraries for the development or transfer of generative AI applications to the solution.
Offers a varied set of APIsincluding those for user management and administration, chat, image generation, audio and video generative AI functions, compatibility with the OpenAI API, and RAG. In addition, it supports integration with generative AI models and popular frameworks, as well as deployment with Kubernetes or empty containers.
