PrimeIntellect
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Cerebras
LimitedBest for Training massive foundational models and enterprise deep learning.
Cerebras builds the world’s largest and most powerful AI processors. Their CS-3 system, powered by the Wafer-Scale Engine, delivers cluster-scale compute performance within a single machine. By eliminating the network bottlenecks of distributed GPU clusters, Cerebras allows researchers and enterprise teams to train massive foundational models significantly faster and with vastly simpler code than traditional NVIDIA clusters. Cerebras provides cloud access to its supercomputers through select partners and its own managed services, targeting the most demanding deep learning workloads in the industry.
Pros & Cons
Pros
- Cluster-scale compute in one machine
- Eliminates distributed network bottlenecks
- Extremely fast training times
Cons
- High entry cost
- Not suited for small-scale projects
- Limited public cloud availability
Ideal Use Cases
enterprise-aiFoundational Model TrainingHPC
| GPU Models | Wafer-Scale Engine (CS-3) |
| GPU Types | Wafer-Scale Engine (CS-3) |
| Headquarters | Sunnyvale, CA |
| Founded | 2016 |
| Availability | Limited |
| Website | cerebras.ai ↗ |
$10.00/ hour (starting)—$50.00/ hr (max)
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
US
Starting from
$10.00/hr
Up to $50.00/hr
Frequently Asked Questions
Cerebras GPU cloud pricing starts from $10.00/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
Cerebras offers Wafer-Scale Engine (CS-3) GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Cerebras operates data centers in US. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to Cerebras and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Cerebras offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.
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