Intel Gaudi 3
Gaudi 3 targets price-performance against Nvidia parts with open Ethernet scale-out and an oneAPI/PyTorch software path.
Full Intel Gaudi 3 record →Head to head
Intel Gaudi 3 vs Google TPU Ironwood
Intel Gaudi 3 (Intel) and Google TPU Ironwood (Google) both sit in Chips & Compute. Google TPU Ironwood shipped more tracked changes in the last 30 days (12 vs 5). Every value below comes from the latest crawl of the vendors' own pages.
| Attribute | Intel Gaudi 3 Intel | Google TPU Ironwood |
|---|---|---|
| Segment | Chips & Compute | Chips & Compute |
| Version | 1.24.1 | Ironwood (7th generation) |
| Entry cost | Pricing not published. Available via Intel Tiber AI Cloud or OEM platforms. | from $5.4/unit |
| Pricing tiers | OEM/cloud free | On-Demand (us-central1 Iowa) $12 · DWS Flex-start price (us-central1 Iowa) $6 · DWS Calendar Mode price (us-central1 Iowa) $8.4 · 1-year Commitment (us-central1 Iowa) $8.4 · 3-year Commitment (us-central1 Iowa) $5.4 · On-Demand (europe-west2 London) $13.2 · DWS Flex-start price (europe-west2 London) $6 · DWS Calendar Mode price (europe-west2 London) $8.4 |
| Model stack | Accelerator · Intel Gaudi 2 · Intel Gaudi 3 | Gemini · Ironwood · Ironwood (TPU v7) · Ironwood TPU · Ironwood TPU (7th Generation) · TPU v7 · TPU7x · TPU7x (Ironwood) · XLA compiler |
| Context window | n/a | — |
| Public API | ||
| Routes models | ||
| Changes / 30d | 5 | 12 |
| Origin | Global | Global |
| Capabilities | 128GB HBM2e, Open Ethernet scale-out, PyTorch native, oneAPI toolchain, Price-performance focus, PyTorch Support, vLLM Integration, DeepSpeed Training | 9,216-chip pods, inference optimised, liquid cooled, JAX + PyTorch/XLA, Large-scale training, Reasoning and inference, 9,216 liquid-cooled chips per pod, 42.5 ExaFlops performance |
Google TPU Ironwood
v7 TPU pods scaling to 9,216 chips, available through Google Cloud and used for Gemini.
Full Google TPU Ironwood record →