The dominant AI-chip vendor, Nvidia has raised the bar with its new Hopper and Orin accelerators. Startups, hyperscalers, and large chip vendors try to compete with the company but keep falling short.

Due to sample late this year, Spectrum-4 will quadruple the bandwidth of Spectrum-3 by both doubling per-lane speed to 100Gbps and doubling the number of serdes lanes to 512, yielding 51.2Tbps.

Near-memory and in-memory compute are techniques for reducing computing power—especially for AI. But they mean different things to different companies. Understanding the differences is important for understanding how some AI chips work.

The next-generation AI architecture powers the H100 card and DGX-H100 system. The 700W flagship card triples peak performance over Ampere while adding FP8 support for more-efficient training.

Intel announced its first Agilex to copackage DRAM, sporting a pair of HBM2e stacks that deliver up to 32GB. It’s also using the Intel 7 process to further cut power dissipation.

The R-Car V4H is a new automotive system-on-chip for vehicles with extended ADAS capabilities. It addresses functional safety and the greater AI performance for Level 2+ driving.

Qualcomm’s next 5G modem uses AI to reduce power and improve performance while maintaining the data rates of its predecessor.

In its sixth generation, PCI Express underwent the biggest changes since its debut in 2003, adopting PAM4 signaling. The new modulation enables data rates to reach 64Gbps per lane.

The ADAS-processor leader is developing a single-chip solution for self-driving cars, along with its own lidar and radars. By 2025, Mobileye hopes its system will reduce the car buyer’s add-on cost to just $10,000.

NeuPro-M, a licensable deep-learning accelerator, offers up to 16x faster inferencing than the previous generation thanks to its new architecture, Winograd modifications, and unstructured-sparsity engines.

Low-cost laptops get a graphics boost from AMD and Nvidia, which now offer their leading GPU architectures in low-power products that increase gaming frame rates and enable hardware ray tracing.

Startup Lightelligence recently took its first step toward commercialization by demonstrating a proof-of-concept device that stacks an electrical IC atop a photonic IC.