What Are the Key Specs for Top AI Processors?
Analytics Insight, Saturday, October 17th, 2026
A spec comparison of AI accelerators from NVIDIA, AMD, Google, Intel, AWS and Cerebras covering compute, memory and interconnect.
Analytics Insight compares leading AI processors to help buyers match hardware to workloads instead of marketing claims.
NVIDIA's B200 has 208 billion transistors, 192GB of HBM3e at 8TB/s and 1.8TB/s NVLink, with a GB200 NVL72 rack reaching 720 petaFLOPS at FP4, while AMD's MI325X and MI355X lead on memory with up to 288GB of HBM3E.
Google's TPU v7 Ironwood delivers 4,614 TFLOPS at FP8 per chip and scales to 9,216-chip pods.
The guide also covers Intel, AWS Trainium and Cerebras, noting that memory capacity, bandwidth and interconnect matter as much as raw compute for large models.