Tenstorrent Blackhole p150a - RISC-V AI Card
Complete specs, benchmarks, and analysis of the Tenstorrent Blackhole p150a - the $1,399 PCIe AI accelerator with 120 Tensix cores, 768 RISC-V processors, 32GB GDDR6, and fully open-source software.
Hardware
AMD Instinct MI440X - CDNA 5 Enterprise GPU
Complete specs and analysis of the AMD Instinct MI440X - a CDNA 5 enterprise GPU with 432GB HBM4, 19.6 TB/s bandwidth, and TSMC 2nm compute chiplets.
Intel Crescent Island - Inference-Only AI GPU
Intel Crescent Island specs and analysis - an Xe3P inference GPU with 160GB LPDDR5X, air cooling, and a cost-optimized approach to AI serving.
NVIDIA Rubin R200 - Next-Gen AI Superchip
Complete specs, benchmarks, and analysis of the NVIDIA Rubin R200 GPU - the post-Blackwell flagship with 288GB HBM4, 22 TB/s bandwidth, and 50 PFLOPS FP4.
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.
AMD Instinct MI300X
AMD Instinct MI300X specs, benchmarks, and real-world performance data. 192GB HBM3, 5,300 GB/s bandwidth, 2,610 TFLOPS FP8 on CDNA 3 chiplet architecture.
AMD Instinct MI350X
AMD Instinct MI350X specs and performance estimates. 288GB HBM3e, ~6,000 GB/s bandwidth, ~3,600 TFLOPS FP8 on CDNA 4 architecture at TSMC 3nm.
Apple M4 Max - Unified Memory for Large Models
Full specs and benchmarks for the Apple M4 Max SoC - up to 128GB unified memory at 546 GB/s, 3nm process, and why it has become the quiet favorite for running 70B+ models locally.
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.
Google TPU v6e Trillium
Google Cloud TPU v6e Trillium specs, benchmarks, and pricing. 32GB HBM per chip, ~1,600 GB/s bandwidth, optimized for Transformer training and inference at cloud scale.
