New Section - GPU and AI Accelerator Spec Pages
Awesome Agents launches a dedicated Hardware section with detailed spec pages for 21 GPUs, TPUs, and AI accelerators - from datacenter flagships to home lab favorites.
Ai accelerator
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.
Google TPU v7 Ironwood
Google TPU v7 Ironwood specs, architecture, and performance estimates. Google's next-gen inference-optimized TPU with massive memory per chip, announced at Cloud Next 2025.
Groq LPU - Deterministic Inference at Scale
Groq's Language Processing Unit (LPU) is a purpose-built inference ASIC that trades HBM for 230MB of on-chip SRAM, delivering deterministic latency and record-breaking tokens-per-second for LLM serving.
Intel Gaudi 3 - Challenging NVIDIA on Price
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.