AI Chips
NVIDIA H100, H200, B200, B300 and Rubin, plus AMD Instinct and Google TPU, compared on compute, memory and what they are built for.
AI chips compared: NVIDIA, AMD, Google, AWS, Intel and Groq
Head-to-head comparisons and explainers for the chips that train and run AI, from the NVIDIA H100 to Rubin, AMD Instinct, Google TPUs, AWS Trainium, Intel Gaudi and Groq LPUs. Every specification is given per chip and without sparsity, and links to the vendor's own documentation.
Learn to read a spec sheet first, then compare generations and vendors, or open the specs database to compare 28 chips side by side.
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Edited by Sami Ullah Khan. Read our editorial policy.
All AI Chips articles
Google Ironwood TPU (TPU v7) Explained: Specs, Pods and How It Compares
Ironwood is Google's seventh-generation TPU, its first designed mainly for inference. Ironwood's specs, 192 GB of HBM per chip, 9,216-chip pods, how it compares…
Cerebras WSE-3 Explained: The Wafer-Scale AI Chip With 900,000 Cores
Cerebras builds an AI chip the size of a whole silicon wafer. How the WSE-3 works, its 4 trillion transistors, 900,000 cores and 44…
Google Unveils TPU 8tx and TPU 8i Max, Expanding Its Eighth-Generation AI Chips
Google has added two specialised chips to its eighth-generation TPU family: TPU 8tx, a confidential-computing training chip co-designed with AMD, and TPU 8i Max,…
What Is an AI Data Center? How AI Factories Work, Explained (2026)
An AI data center is a facility built to train and run AI models on thousands of GPUs. How it differs from a normal…
Groq LPU vs GPU: How the LPU Works and NVIDIA's Groq 3 LPX
Groq's LPU keeps model weights in on-chip SRAM and schedules every step in advance, which makes token generation very fast but limits capacity. How…
B200 vs B300: NVIDIA Blackwell vs Blackwell Ultra Specs Compared
B300 (Blackwell Ultra) keeps B200's FP8 and FP16 throughput but adds 60% more memory (288 GB), 50% more dense FP4, faster attention and 800G…
AMD vs NVIDIA for AI in 2026: ROCm vs CUDA, Instinct vs Blackwell and Rubin
AMD or NVIDIA for AI in 2026? Data-center chips (MI355X and MI455X vs B200, B300 and Rubin), consumer cards for local AI, the state…
RTX 5090 for AI: Which LLMs It Runs, How Fast, and Is It Worth It?
The RTX 5090 has 32 GB of GDDR7 at 1.79 TB/s and fifth-generation Tensor Cores with FP4. Which local LLMs and image models fit,…
NPU vs GPU vs TPU: What Is an NPU and How Is It Different?
An NPU is a small, power-efficient AI accelerator inside phone and laptop chips. How NPUs compare with GPUs and TPUs in design, TOPS, memory…
AMD MI355X vs NVIDIA B200: Specs, MLPerf Results and Which to Choose
AMD Instinct MI355X vs NVIDIA B200: 288 GB vs 180 GB of HBM3e at the same 8 TB/s, about 10% more FP8 and FP4…