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.
Hardware
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.
Huawei Ascend 910B
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
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 - 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.
NVIDIA A100 - The GPU That Built Modern AI
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.