FuriosaAI RNGD
Korean inference silicon with strong perf-per-watt.
Full FuriosaAI RNGD record →Head to head
FuriosaAI RNGD vs Google TPU Ironwood
FuriosaAI RNGD (FuriosaAI) and Google TPU Ironwood (Google) both sit in Chips & Compute. FuriosaAI RNGD is the cheaper entry point at System sales. Google TPU Ironwood shipped more tracked changes in the last 30 days (11 vs 0). Every value below comes from the latest crawl of the vendors' own pages.
| Attribute | FuriosaAI RNGD FuriosaAI | Google TPU Ironwood |
|---|---|---|
| Segment | Chips & Compute | Chips & Compute |
| Version | RNGD | 7th-generation (Ironwood) |
| Entry cost | System sales | from $5.4/unit |
| Pricing tiers | — | On Demand (us-central1) $12 · DWS Flex-start (us-central1) $6 · DWS Calendar Mode (us-central1) $8.4 · 1-year Commitment (us-central1) $8.4 · 3-year Commitment (us-central1) $5.4 · On Demand (europe-west2) $13.2 · DWS Flex-start (europe-west2) $6 · DWS Calendar Mode (europe-west2) $8.4 |
| Model stack | n/a | Gemini · Google TPU Ironwood · Ironwood · Ironwood (TPU v7) · Ironwood TPU · Ironwood TPU (7th Generation) · TPU v7 · TPU7x · TPU7x (Ironwood) · XLA compiler |
| Context window | — | — |
| Public API | ||
| Routes models | ||
| Changes / 30d | 0 | 11 |
| Origin | Asia | Global |
| Capabilities | Tensor contraction processor, 180W TDP, LG partnership | 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 →