
AWS Trainium3 - Amazon's 3nm AI Accelerator
Complete specs, benchmarks, and analysis of AWS Trainium3 - Amazon's TSMC 3nm AI chip with 2.52 PFLOPS FP8, 144GB HBM3e, and NeuronLink-v4, powering Anthropic's Claude through Project Rainier.
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Complete specs, benchmarks, and analysis of AWS Trainium3 - Amazon's TSMC 3nm AI chip with 2.52 PFLOPS FP8, 144GB HBM3e, and NeuronLink-v4, powering Anthropic's Claude through Project Rainier.

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.

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.

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.

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 specs and performance estimates. 288GB HBM3e, ~6,000 GB/s bandwidth, ~3,600 TFLOPS FP8 on CDNA 4 architecture at TSMC 3nm.

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.

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.

Huawei Ascend 910B specs, benchmarks, and real-world performance. 64GB HBM2e, ~1,200 GB/s bandwidth, ~600 TFLOPS FP16 - the chip that trained DeepSeek.

Huawei Ascend 910C specs, benchmarks, and performance analysis. 96GB HBM2e, ~1,800 GB/s bandwidth, ~800 TFLOPS FP16 - China's flagship AI chip under US sanctions.

Intel Gaudi 3 is a TSMC 5nm AI accelerator with 128GB HBM2e and 1,835 TFLOPS FP8 performance, positioned as a cost-effective alternative to NVIDIA H100 for training and inference workloads.

Complete specs, benchmarks, and analysis of the NVIDIA A100 80GB SXM - the Ampere-architecture GPU that remains the most widely deployed AI accelerator in the world.