MediaTek has announced that it has partnered with Nvidia to make four new automotive chips for connected and self-driving cards. The company’s Dimensity Auto Cockpit series chips will compete with automotive chips from Qualcomm and Samsung.
MediaTek Dimensity Auto Cockpit chips to compete with Samsung’s Exynos Auto chips
The company’s new Dimensity Auto Cockpot series has four chips: CM-1, CV-1, CX-1, and CY-1. These 3nm chips use ARM’s V9-A CPU cores and Nvidia’s RTX GPU. They support Nvidia’s DRIVE OS and will power the infotainment system and other intelligence inside connected cars. Nvidia’s technology powers AI processing on these chips, and it will be used for entertainment, navigation, and general information needs.
The GPU can drive four high-resolution screens. In fact, MediaTek and Nvidia claim that the new chips can even support in-vehicle gaming, complete with ray-traced graphics. Media streaming and audio/video calls with AI-enhanced clarity are also supported. They can even monitor people inside the car for natural controls and gaze-aware UI.
The CV-1 is a chip for entry-level cars. The CM-1 is for mid-range cars and the CV-1 is for high-end cars. The CX-1 is for premium car offerings. These chips can simultaneously run multiple operating systems, including Android Auto, Linux, and QNX, in virtualization.
The new chips also support up to ten cameras and other sensors for assisted driving. The built-in ISP can process HDR scenes in real-time. Their connectivity features include a built-in 5G modem (sub-6GHz), NTN (for direct satellite connectivity for emergency calls and messages), Wi-Fi 7, GNSS, and Bluetooth.
Five months after unveiling its flagship smartphone chipset for 2024, Qualcomm is introducing a new high-end chipset. The Snapdragon 8s Gen 3 is a slightly trimmed-down version of the Snapdragon 8 Gen 3 and vows to bring flagship features at a lower cost.
This new chip is made for more affordable high-end phones, popularly known as flagship killers.
Snapdragon 8s Gen 3 has many of the features from Snapdragon 8 Gen 3
The Snapdragon 8s Gen 3 (SM8635) is a 4nm chip made by TSMC, similar to the Snapdragon 8 Gen 3. It will be used in smartphones from Honor, iQOO, Realme, Redmi (Xiaomi sub-brand), and Xiaomi.
This new high-end smartphone processor has many of the same on-device AI and Generative AI processing, advanced camera processing, advanced connectivity, and lossless audio features found on the Snapdragon 8 Gen 3. It can run many popular Large Language Models (LLMs), including Baichuan-7B, Llama 2, and Google Gemini Nano.
CPU
Qualcomm is using a downclocked CPU and one fewer high-performance CPU core in the Snapdragon 8s Gen 3. It has one Cortex-X4 CPU core clocked at 3GHz, four Cortex-A720 CPU cores clocked at up to 2.8GHz, and three Cortex-A520 CPU cores clocked at 2GHz. All these CPU cores are clocked lower than the Snapdragon 8 Gen 3.
GPU
The chipset also features a downgraded GPU (could be Adreno 735) that has real-time hardware-accelerated ray tracing but lacks global illumination effects. It also lacks Unreal Engine 5’s Lumen global illumination and reflection effects.
The GPU features Snapdragon Game Super Resolution (AI-powered frame resolution upscaling), Adreno Frame Motion Engine (frame rate interpolation), and 10-bit HDR gaming. It also supports OpenGL ES 3.2, OpenCL 2.0 FP, and Vulkan 1.3 APIs. The GPU can drive 4K 60Hz or QHD+ 144Hz screens. It supports a variable refresh rate (1-240Hz, depending on resolution). It also supports Dolby Vision, HDR10, HDR10+, and HLG video playback. It also supports 1080p 240Hz or 8K 30Hz external displays.
DRAM & Storage
The Snapdragon 8s Gen 3 supports UFS 4.0 storage and up to 24GB LPDDR5X DRAM (4,200MHz). The Snapdragon 8 Gen 3 supports LPDDR5X DRAM clocked at 4,800MHz.
AI/NPU
Qualcomm AI Engine, which combines the processing power of the CPU, GPU, and Hexagon NPU, carries out all the on-device AI and Generative AI processing. It supports more than 30 LLMs and LVMs (Large Vision Models) with up to 10 billion+ parameters. Some of its capabilities include text-to-image generation, on-device Generative AI-powered voice assistant, multi-modal AI (that can take inputs in multiple forms simultaneously), and image/video editing.
Cameras
The Qualcomm Spectra Triple 18-bit ISP inside the Snapdragon 8s Gen 3 supports up to 200MP resolution camera sensors. It can operate a 108MP camera, 64MP+36MP dual-camera setup, or 36MP+36MP+36MP triple-camera setup with zero shutter lag. It can seamlessly switch between cameras with active HDR processing.
It can capture HDR images and videos. In fact, it can record 4K HDR video and a 64MP HDR image simultaneously. It can record up to 4K 60fps HDR videos and slow-motion 1080p videos at 240fps. However, it lacks support for 8K video recording, which is present on the Snapdragon 8 Gen 2 and the Snapdragon 8 Gen 3.
It supports Google’s Ultra HDR video format (Samsung’s Super HDR is powered by this feature) and supports recording HDR videos in Dolby Vision, HDR10, and HDR10+ formats. Features like multi-frame noise reduction, video upscaling, and RAW image capture are also supported.
Connectivity
The Snapdragon 8s Gen 3 has a fully integrated Snapdragon X75 5G modem, the same modem used in the Snapdragon 8 Gen 2 processor. It supports up to 5Gbps download speeds and up to 3.5Gbps upload speeds. It supports SA and NSA 5G networks over sub-6GHz and mmWave bands. For sub-6GHz bands, it supports 4×4 MIMO, while 2×2 MIMO is supported for mmWave networks.
It also supports 8 CA (Carrier Aggregation) and 5G + 5G Dual-SIM Dual-Active SIM. Several AI-powered power-saving features for 5G connectivity and configuration are also included in this chip.
Powered by the Qualcomm FastConnect 7800 system, the Snapdragon 8s Gen 3 features triple-frequency GNSS (BeiDou, GPS, GLONASS, Galileo, NavIC, and QZSS), Wi-Fi 7 with 8×8 MIMO, Bluetooth 5.4 (with LE Audio and Auracast, aptX Lossless, and aptX Adaptive), and USB 3.1 Gen 2 (with Type-C port).
Phones with Snapdragon 8s Gen 3 to launch in March 2024
Xiaomi will be the first to launch a smartphone using the Snapdragon 8s Gen 3 chipset. Other brands will bring their Snapdragon 8s Gen 3-equipped phones later this month (March 2024).
Chris Patrick, Senior Vice President and General Manager of the Mobile Handsets division at Qualcomm Technologies, said, “With capabilities including on-device generative AI and advanced photography features, Snapdragon 8s Gen 3 is designed to enhance user experiences, fostering creativity and productivity in their daily lives. We’re elated to introduce the latest addition to our premium Snapdragon 8-series, our most premium mobile offering, bringing a host of exceptional specially selected capabilities to more consumers.”
To check out the performance of the Snapdragon 8 Gen 3, watch our Galaxy S24 Ultra review in the video below.
At the prestigious Mobile World Congress in Barcelona, Qualcomm Technologies, Inc. made a significant announcement that’s stirring excitement among mobile developers. The company introduced the Qualcomm AI Hub, a new platform that’s poised to make a substantial impact on artificial intelligence within the realm of mobile development. This platform is not just another addition to the tech landscape; it’s a comprehensive resource that offers a vast library of AI models, all designed to improve the way we interact with a wide range of devices.
The Qualcomm AI Hub is a goldmine for developers, especially those who work with Snapdragon and Qualcomm platforms. It features an impressive collection of more than 75 AI and generative AI models. These models are not just any models; they are pre-optimized to work seamlessly with the Qualcomm AI Engine. What does this mean for developers and users alike? It means faster inferencing and enhancements that are aware of the hardware’s capabilities, leading to unmatched AI performance right on the device. These models are not hidden away; they are accessible through the Qualcomm AI Hub, GitHub, and Hugging Face, and the company promises they will keep them up-to-date with ongoing support.
One of the most exciting aspects of this launch is Qualcomm’s partnership with Hugging Face. This collaboration is strategic and significant because it aims to make these AI models accessible to a broader range of mobile developers. By doing so, it’s set to change the game for edge AI applications, providing developers with the tools they need to incorporate advanced AI features into their applications.
At the event, Qualcomm didn’t just talk the talk; they walked the walk. They showcased their Large Language and Vision Assistant (LLaVA) and Low Rank Adaptation (LoRA) technologies. These are not just fancy acronyms; they are technologies at the cutting edge, designed to enhance the AI capabilities of devices, making them more efficient at handling complex AI tasks.
The practical side of AI was also on full display. Qualcomm demonstrated how AI-powered features are being integrated into a variety of commercial products. From smartphones to PCs, from cars to consumer IoT, and across connectivity and 5G infrastructure, the applications of AI were evident. These examples not only showed the real-world benefits of AI but also hinted at the exciting possibilities that lie ahead.
But Qualcomm’s vision extends beyond just user-facing products. They are also innovating behind the scenes with AI optimizations in their Snapdragon X80 Modem-RF System and Qualcomm FastConnect 7900. These systems are engineered to elevate the performance of the next generation of mobile devices, ensuring faster and more reliable connections.
The company is also at the forefront of developing AI-based solutions for network management. They are introducing innovations like a generative AI assistant for RAN engineers, an AI-based open RAN application, and a suite for managing the lifecycle of 5G network slices. These tools are designed to streamline network operations and offer smarter management capabilities for the ever-evolving 5G network.
The announcements made by Qualcomm at the Mobile World Congress in 2024 are a clear indication of the company’s focus on advancing AI technology. The Qualcomm AI Hub, with its extensive collection of optimized AI models and cutting-edge technologies, is empowering developers to create innovative applications. These applications are set to redefine what mobile devices are capable of and establish new benchmarks for the industry.
Qualcomm AI Hub: A Catalyst for Mobile AI Development
The Qualcomm AI Hub is a groundbreaking platform that represents a significant leap forward in the integration of artificial intelligence into mobile technology. This hub provides a centralized resource for developers, offering access to a comprehensive library of AI models. These models are specifically tailored to enhance the functionality of mobile devices, enabling them to perform complex AI tasks more efficiently. The AI Hub is not just a repository of models; it is a dynamic ecosystem that supports the Snapdragon and Qualcomm platforms, ensuring that developers have the tools they need to push the boundaries of what mobile devices can do.
The AI models available through the Qualcomm AI Hub are pre-optimized for the Qualcomm AI Engine, which translates to rapid inferencing capabilities. This optimization is crucial because it allows for the AI models to be executed directly on the device, rather than relying on cloud processing. This on-device processing capability leads to faster response times and improved performance, which is essential for applications that require real-time AI computations. The accessibility of these models through platforms like GitHub and Hugging Face is a strategic move by Qualcomm to democratize AI development, making it possible for a wider range of developers to innovate in the mobile space.
Strategic Partnerships and Cutting-Edge Technologies
Qualcomm’s collaboration with Hugging Face is a strategic partnership that aims to broaden the reach of AI technologies to a more diverse group of mobile developers. This partnership is a key element in the push for more advanced edge AI applications. Edge AI refers to the processing of AI algorithms directly on a device, rather than in the cloud. This approach has numerous benefits, including reduced latency, increased privacy, and the ability to function without an internet connection. By making AI models more accessible, Qualcomm and Hugging Face are enabling developers to incorporate sophisticated AI features into their applications, which can lead to more personalized and responsive user experiences.
At the Mobile World Congress, Qualcomm showcased their Large Language and Vision Assistant (LLaVA) and Low Rank Adaptation (LoRA) technologies. These technologies are at the forefront of AI innovation, designed to enhance the capabilities of devices in understanding and processing natural language and visual information. LLaVA and LoRA are not just theoretical concepts; they are practical solutions that improve the efficiency of AI tasks on devices, making them smarter and more capable of handling the demands of modern applications.
AI Integration in Commercial Products and Network Management
Qualcomm’s demonstration of AI-powered features in various commercial products highlighted the practical applications of AI in everyday technology. The integration of AI into smartphones, PCs, automobiles, consumer IoT devices, and 5G infrastructure showcases the versatility of AI and its potential to transform a wide array of industries. These real-world examples serve as a glimpse into the future, where AI is seamlessly woven into the fabric of our technological experiences, enhancing functionality and user interaction.
Behind the scenes, Qualcomm is also making strides in AI with optimizations in their Snapdragon X80 Modem-RF System and Qualcomm FastConnect 7900. These systems are engineered to boost the performance of next-generation mobile devices, ensuring that they can handle faster and more reliable connections. This is particularly important as we move into an era where 5G connectivity is becoming the standard, and the demand for high-speed, low-latency connections is growing.
In addition to user-facing innovations, Qualcomm is developing AI-based solutions for network management. They are introducing tools like a generative AI assistant for RAN engineers, an AI-based open RAN application, and a suite for managing the lifecycle of 5G network slices. These tools are designed to simplify network operations and provide more intelligent management capabilities, which are essential for the complex and dynamic nature of 5G networks.
The advancements announced by Qualcomm at the Mobile World Congress highlight the company’s dedication to pushing the envelope in AI technology. The Qualcomm AI Hub, with its extensive collection of optimized AI models and state-of-the-art technologies, is equipping developers with the resources they need to create groundbreaking applications. These applications are poised to redefine the capabilities of mobile devices and set new standards for the industry.
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Qualcomm unveiled its latest Snapdragon modem at Mobile World Congress 2024 in, Barcelona, Spain, the Qualcomm Snapdragon X80 5G Modem-RF System, and it is designed to be used across multiple platforms.
This includes smartphones, PCs, XR, automotive, mobile broadband, Industrial IoT, fixed wireless access, private networks and more, the patform is powered by Artificial Intelligence and it is designed for performance an power efficiency.
Qualcomm Technologies, Inc., has been a leader in 5G technologies since inception, and today is continuing to set the pace of innovation by announcing the Snapdragon® X80 5G Modem-RF System, the seventh generation of its 5G modem-to-antenna solution. The Snapdragon X80 integrates a dedicated 5G AI Processor and 5G-Advanced-ready architecture, achieving several world’s first milestones including the first 5G modem with fully integrated NB-NTN satellite communications support, 6-antenna architecture for smartphones, 6X carrier aggregation, and AI-based mmWave range extension for fixed wireless access customer premise equipment (CPE).
The Snapdragon X80 features revolutionary AI innovations, based on a dedicated tensor accelerator, that improve data speeds, latency, quality of service (QoS), coverage, location accuracy, spectrum efficiency, power efficiency and multi-antenna management.
“The Snapdragon X80 modem-RF system sets the stage for 5G Advanced and the era of intelligent computing everywhere,” said Durga Malladi, senior vice president and general manager, technology planning and edge solutions, Qualcomm Technologies, Inc. “Leveraging AI is critical to the future of connectivity, this latest milestone underscores Qualcomm Technologies’ leadership at the intersection of cutting-edge AI and advanced modem-RF technology. The Snapdragon X80 5G Modem-RF System empowers OEMs and operators to create next-generation devices supporting 5G Advanced, with unrivaled capabilities and leading performance.”
You can find out more information about the new Qualcomm Snapdragon X80 5G Modem-RF System over at the Qualcomm website at the link below.
Source Qualcomm
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Qualcomm has unveiled its latest mobile platform, Snapdragon 7 Gen 3 and it provides a 15 percent improvement in CPU performance and a 50 percent improvement in GPU performance over the previous version.
The platform comes with processing speeds of up to 2.63Ghz and there is also a 20% improvement in power usage over the previous model, it is designed to offer faster 5G and LE Audio with Auracast and more.
Qualcomm Technologies, Inc. today announced the Snapdragon® 7 Gen 3 Mobile Platform to amplify immersive experiences and bring premium performance to consumers’ everyday life. The upgraded platform delivers across-the-board advancements to ignite on-device AI, fan-favorite mobile gaming, a creativity-charged camera and powerful 5G connectivity. The new platform is fully equipped to enable exciting new use-cases including up to 2.63GHz peak CPU speeds, over 50% faster GPU performance, and 60% improved AI performance per watt while still delivering incredible power efficiency.
“Intelligently designed to balance performance and power efficiency, the Snapdragon 7 Gen 3 Mobile Platform delivers a selection of premium experiences that are brand new to the Snapdragon 7-series,” said Christopher Patrick, senior vice president and general manager of mobile handsets, Qualcomm Technologies, Inc. “By working closely with our OEM partners, we’re able to help make the next generation of in-demand features, such as enhanced AI and extraordinary camera capabilities, more widely accessible to consumers.”
You can find out more details about the new Qualcomm Snapdragon 7 Gen 3 mbile platform at the link below, we are looking forward to finding out more details about new smart [hones that will use the platform.
Source Qualcomm
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Qualcomm has unveiled its new high-end smartphone processor, the Qualcomm Snapdragon 8 Gen 3 and we can expect this processor to be used in a wide range of flagship smartphones like next year’s Samsung Galaxy S24.
Harnessing the power of industry-leading AI, it promises to redefine intelligent interactions. Moreover, its camera functionalities don’t just impress; they lead the charts, ensuring every capture is nothing short of a masterpiece.
For gaming aficionados, this platform promises a gaming experience that challenges even the most sophisticated gaming consoles. Add to this the allure of studio-quality audio, and you have an auditory experience that’s second to none. And to bind all these outstanding features together? The world’s swiftest connectivity, ensuring that users are always a step ahead, powering the experiences that today’s consumers truly desire.
Snapdragon 8 Gen 3 infuses high-performance AI across the entire system to deliver premium-level performance and extraordinary experiences to consumers. This platform unlocks a new era of generative AI enabling users to generate unique content, help with productivity, and other breakthrough use cases.” said Chris Patrick, senior vice president and general manager of mobile handsets, Qualcomm Technologies, Inc. “Each year, we set out to design leading features and technologies that will power our latest Snapdragon 8-series mobile platform and the next generation of flagship Android devices. The Snapdragon 8 Gen 3 delivers.”
You can find out more details about the new Qualcomm Snapdragon 8 Gen 3 mobile processor over at Qualcomm at the link below, as soon as we get some details on the first handset to use the processor, we will let you know, Qualcomm has said we can expect the first devices in the coming weeks.
Source Qualcomm
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Qualcomm has announced that it is currently developing a RISC-V based wearables solution intended for use with Wear OS by Google. This development is a testament to Qualcomm’s innovative spirit and its commitment to fostering collaborations that drive technological advancements. The company’s ongoing collaboration with Google is a strategic move to enable a broader range of products within the ecosystem to benefit from custom CPUs that are both low power and high performance.
Qualcomm’s venture into RISC-V based wearables does not mean it will abandon its successful Snapdragon Wear platforms. These platforms have been the leading smartwatch silicon provider for the Wear OS ecosystem, and Qualcomm plans to continue investing in them. The company’s decision to explore RISC-V based wearables while simultaneously nurturing its Snapdragon Wear platforms is indicative of its strategy to diversify and strengthen its product offerings.
Snapdragon Wear
“The Snapdragon Wear platforms are made to deliver low-power, high-impact performance for a wide range of wearables, including smartwatches, kids’ watches, smart trackers and more. Depend on our Snapdragon Wear platforms to build stylish, functional wearables that are designed to deliver super-fast performance, extended battery life, always-on experiences, and always-connected usage.”
In a recent development, both Qualcomm and Google have joined other industry leaders to launch the RISC-V Software Ecosystem (RISE). This move underscores their commitment to promoting open-source technologies and fostering a community of innovation and collaboration. RISE is expected to be a significant contributor to the advancement of RISC-V technology.
Moreover, Qualcomm is not limiting its investment in RISC-V technology to software alone. The company is also investing in a new venture to advance RISC-V hardware development. This investment is a clear signal of Qualcomm’s belief in the potential of RISC-V technology and its intention to be at the forefront of its evolution.
RISC-V, an open-source instruction set architecture (ISA), is a technology that allows any company to develop completely custom cores. This open-source nature of RISC-V encourages innovation and competition in the marketplace, leading to more robust and diverse product offerings. The freedom to customize cores can lead to the development of products that are tailored to specific needs and applications, potentially revolutionizing various sectors, including the wearables market.
As for the commercial product launch of the RISC-V wearable based solution, Qualcomm has stated that it will be announced at a later date. This announcement is eagerly anticipated by the industry, as it marks a significant milestone in the evolution of wearable technology.
Qualcomm’s venture into RISC-V based wearables represents a significant step forward in the wearable technology industry. By leveraging the open-source nature of RISC-V, Qualcomm is paving the way for more innovative, powerful, and efficient wearable devices. While the commercial product launch is yet to be announced, the industry is already abuzz with excitement about the potential of this new technology. Qualcomm’s commitment to investing in both its Snapdragon Wear platforms and RISC-V technology demonstrates its dedication to driving innovation and delivering superior product offerings to the Wear OS ecosystem.
Other articles we have written that you may find of interest on the subject of RISC-V :
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