Meta MTIA 300
Meta's first mass-deployed RISC-V AI accelerator - 1.2 PFLOPS FP8, 216 GB HBM, powering Facebook and Instagram at scale.
Asic
Etched Sohu - Transformer-Only Inference ASIC
Full specs and critical analysis of the Etched Sohu - a transformer-specific ASIC claiming 500K+ tokens/sec on Llama 70B, built on TSMC 4nm with 144GB HBM3E. Bold claims, but no independent benchmarks yet.
Qualcomm AI200 - Rack-Scale Inference ASIC
Qualcomm AI200 specs and analysis - a Hexagon-based inference accelerator with 768GB LPDDR per card, rack-scale design, and a focus on inference TCO.
SambaNova SN50 RDU - Agentic Inference Chip
Complete specs and analysis of SambaNova's SN50 RDU - a TSMC 3nm dataflow chip with 3.2 PFLOPS FP8, three-tier memory, and claimed 5x speed over NVIDIA B200.
AWS Trainium2 - Amazon's Cloud Training Chip
AWS Trainium2 is Amazon's second-generation custom AI training chip, powering EC2 Trn2 instances with 96GB HBM2e per chip and tight integration with the AWS Neuron SDK and SageMaker ecosystem.
Cambricon MLU590 - China's Inference Accelerator
Full specs and analysis of the Cambricon MLU590 - 192GB HBM2e, ~2,400 GB/s bandwidth, TSMC 7nm, and what it means for AI inference outside the NVIDIA ecosystem.
