Cerebras
Wafer-scale inference and training
- Version
- WSE-3 / Inference
- Cost
- Free tier, then from $0.06 / M tokens
- Model
- Llama / Qwen / GPT-OSS
NVIDIA · #15 most active of 18 in Chips & Compute
NVL72 rack-scale coherent GPU domains, the default substrate for frontier training and inference.
Current version
GB200 NVL72
Entry cost
~$2-6 per GPU-hour on clouds
Changes / 30d
0
~$2-6 per GPU-hour on clouds
Entry price over time
Not enough pricing history yet — we start charting from the second observation.
Blackwell B200
NVIDIA
Grace CPU
NVIDIA
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
Inference-first TPU pods
Groq
Deterministic low-latency inference
High-memory GPU alternative
On-device inference across Mac, iPhone and iPad.
Cloud-native training silicon