Generative AI is changing the world - but can it continue to succeed with our current data infrastructure?
CEO and co-founder, Tony Pialis, recently shared his thoughts with Data Center Dynamics on the subject. Tony says that for generative AI technologies to thrive, the industry must invest in bringing a customized approach to high-speed connectivity – namely through chiplets and custom silicon solutions – before it is too late.
Read more of what Tony thinks about how our data infrastructure needs to change to allow generative AI to thrive here!
To read the full article, click here
Related Semiconductor IP
- Specialized Video Processing NPU IP for SR, NR, Demosaic, AI ISP, Object Detection, Semantic Segmentation
- Ultra-Low-Power Temperature/Voltage Monitor
- Multi-channel Ultra Ethernet TSS Transform Engine
- Configurable CPU tailored precisely to your needs
- Ultra high-performance low-power ADC
Related Blogs
- Connected AI is More Than the Sum of its Parts
- What is the Right Metric to Understand 5G Processing Throughput? Well, it’s not Peak Speed....
- Rethinking Edge AI Interconnects: Why Multi-Protocol Is the New Standard
- Rivian’s autonomy breakthrough built with Arm: the compute foundation for the rise of physical AI
Latest Blogs
- Silicon Insurance: Why eFPGA is Cheaper Than a Respin
- One Bit Error is Not Like Another: Understanding Failure Mechanisms in NVM
- Introducing CoreCollective for the next era of open collaboration for the Arm software ecosystem
- Integrating eFPGA for Hybrid Signal Processing Architectures
- eUSB2V2: Trends and Innovations Shaping the Future of Embedded Connectivity