Cerebras
Wafer-scale inference and training
- Version
- WSE-3 / Inference
- Cost
- Free tier, then from $0.06 / M tokens
- Model
- Llama / Qwen / GPT-OSS
Google · #2 most active of 18 in Chips & Compute
v7 TPU pods scaling to 9,216 chips, available through Google Cloud and used for Gemini.
Current version
v7 Ironwood
Entry cost
from ~$1.2 per chip-hour
Changes / 30d
1
On-demand
per chip-hour
$1.2
Entry price over time
Not enough pricing history yet — we start charting from the second observation.
TPU v7
XLA compiler
Context window
—
Public API
yes
Multi-model routing
no
Other tracked products running on the same foundation models — a quick read on how much of the catalog moves when one of these models changes.
green disclosed · amber inferred · grey unknown
Reference data. Each figure is whatever the source actually said — weekly users, downloads, revenue run-rate — with its own definition and date. These are not comparable between tools and are never used to rank anything.
No public usage figure on record for this product.
Cerebras
Wafer-scale inference and training
Groq
Deterministic low-latency inference
High-memory GPU alternative
On-device inference across Mac, iPhone and iPad.
Cloud-native training silicon
Broadcom
Co-designed XPUs behind most hyperscaler silicon.