industry news
Subscribe Now

Intel Brings Discrete GPU Muscle to the Vehicle Cockpit to Power Next-Gen Automotive AI

New discrete GPU for the automotive industry is set to elevate in-vehicle AI capabilities in 2025.

SHENZHEN, China, Aug. 8, 2024 – In a strategic move to empower automakers with groundbreaking opportunities, Intel unveiled its first discrete graphics processing unit (dGPU), the Intel® Arc™ Graphics for Automotive, at its AI Cockpit Innovation Experience event.

To advance automotive AI, the product will be commercially deployed in vehicles as soon as 2025, accelerating automobile technology and unlocking a new era of AI-driven cockpit experiences and enhanced personalization for manufacturers and drivers alike.

Discrete Power, Scalable Platform

Intel’s entry into automotive discrete GPUs addresses growing demand for compute power in increasingly sophisticated vehicle cockpits. By adding the Intel Arc graphics for Automotive to its existing portfolio of AI-enhanced software-defined vehicle (SDV) system-on-chips (SoCs), Intel offers automakers an open, flexible and scalable platform solution that brings next-level, high-fidelity experiences to the vehicle.

Automakers can now design a single vehicle platform that scales across trim levels. Entry and mid-level models can leverage the Intel SDV SoC, while higher-end vehicles can benefit from the added horsepower of the dGPU for even more premium features. This approach streamlines development as software is fully compatible across the integrated GPU and the discrete GPU.

Intel’s Vision: A Human-Centric Automotive Future

Intel’s AI Cockpit Experience showcased a future where in-vehicle AI creates intuitive and personalized interactions among the driver, passengers and vehicle that can personalize the ride and optimize the drive.

“Intel’s strategy is to bring the power of AI into devices of every size and shape, and we’re thrilled to bring that expertise and our vast open AI ecosystem to the automotive industry,” said Jack Weast, vice president and general manager of Intel Automotive. “China’s rapid electric vehicle development cycles and advanced technological adoption make it an ideal testing ground for our next-generation technologies.”

Key features of Intel’s AI cockpit solution:

  • Unmatched Scalability: Automakers can choose the Intel SDV SoC and later add an Intel discrete GPU for managing larger compute workloads and expanding the AI features thanks to a unified instruction set that simplifies development.
  • Next-Generation In-Vehicle Experiences: Intel-powered voice, camera and gesture recognition transform vehicles into immersive mobile hubs. Thundersoft’s demo showcased its new generation cockpit user interface (UI) that transforms vehicles into immersive mobile hubs supporting seven high-definition screens rendering 3D graphics and six-in vehicle cameras and interactive features. The new UI also showed its capacity to run high-demand AAA gaming titles simultaneously while running AI PC rich applications for smart mobile working.
  • Deep Personalization: With powerful AI algorithms learning driver preferences, automakers can offer a highly personalized experience, adapting cockpit settings without voice commands. Zhipu’s AI Car Assistant demonstrated the power of local large language models (LLMs) running on Intel’s compute platform. The demo highlighted the ability to execute complex vehicle control commands through natural language processing, answer vehicle-related questions accurately, and even engage in leisurely chat with users, providing a more interactive and enjoyable journey.
  • Enhanced Productivity, Gaming and Entertainment: Automakers can turn the vehicle into a mobile office and entertainment hub with immersive 4K displays, multiscreen setups and advanced 3D interfaces.
  • Intel’s AI PC Accelerator Program: Bringing together more than 100 independent software vendors (ISV) partners who have created 500-plus features and AI apps, the accelerator program immediately provides an unparalleled ecosystem that can be leveraged within the vehicle.

Building Blocks for The Future

Intel provides the building blocks for a future where driving is smarter, safer and more personalized than ever. The increased compute power offered by the dGPU opens a world of possibilities for automakers to differentiate their brands today. With the added confidence, they are ready to deliver a new level of AI-driven experiences to their customers tomorrow.

Intel aims to be the go-to partner for automakers. The company’s XPU strategy, robust AI accelerator software ecosystem and optimization capabilities provide a strong foundation for innovation in the automotive space.

More Context: Intel Arc Graphics for Automotive (Fact Sheet) | New AI Cockpit Experiences Powered by Intel (Fact Sheet)

Leave a Reply

featured blogs
Nov 15, 2024
Explore the benefits of Delta DFU (device firmware update), its impact on firmware update efficiency, and results from real ota updates in IoT devices....
Nov 13, 2024
Implementing the classic 'hand coming out of bowl' when you can see there's no one under the table is very tempting'¦...

featured video

Introducing FPGAi – Innovations Unlocked by AI-enabled FPGAs

Sponsored by Intel

Altera Innovators Day presentation by Ilya Ganusov showing the advantages of FPGAs for implementing AI-based Systems. See additional videos on AI and other Altera Innovators Day in Altera’s YouTube channel playlists.

Learn more about FPGAs for Artificial Intelligence here

featured paper

Quantized Neural Networks for FPGA Inference

Sponsored by Intel

Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application.

Click to read more

featured chalk talk

STM32 Security for IoT
Today’s modern embedded systems face a range of security risks that can stem from a variety of different sources including insecure communication protocols, hardware vulnerabilities, and physical tampering. In this episode of Chalk Talk, Amelia Dalton and Thierry Crespo from STMicroelectronics explore the biggest security challenges facing embedded designers today, the benefits of the STM32 Trust platform, and why the STM32Trust TEE Secure Manager is an IoT security game changer.
Aug 20, 2024
39,807 views