Cerebras
AI compute platform known for wafer-scale systems and cloud services plus a developer offering with token allowances and code completion access for builders.
Overview
Cerebras builds hardware and services for high-performance AI, including the wafer-scale CS series and managed cloud clusters used to train and serve large models. For developers, Cerebras offers subscription access to model inference and tooling with generous daily token allowances and fast code completions, making it practical to prototype agents and applications without running your own GPUs. Enterprises adopt Cerebras to accelerate training and reduce complexity; public case studies span hyperscalers, pharma, and research.
The platform exposes APIs and SDKs so teams can integrate with existing stacks, while enterprise engagements include deployment support and security reviews. Pricing is split between self-serve developer tiers and bespoke enterprise contracts. Cerebras’ focus on throughput and simplicity positions it as an option for organizations seeking performance gains and predictable costs for frontier-scale workloads and code-heavy use cases.
Key features
- Developer plans with fast code completions and daily token allowances
- Wafer-scale CS systems and cloud clusters for training large models
- API and SDK access to integrate inference into apps and agents
- High throughput serving for interactive apps and copilots
- Enterprise deployments with security reviews and SLAs
- Option to scale from prototyping to production on the same platform
- Case studies across hyperscale pharma and research sectors
- Focus on simplicity to reduce time from idea to running model
Best for
- Prototype code copilots with high context completions and fast tokens
- Serve apps that require low latency responses at large scale
- Accelerate training runs for LLMs and domain adapters
- Integrate inference via APIs to web backends and tools
- Run evaluations and red teaming at higher throughput
- Support research teams with large batch experiments
- Consolidate spend by moving from ad hoc GPU rentals
- Plan hybrid strategies combining on-prem and managed cloud
Capabilities
Developer Plans
Access fast completions and generous daily token allowances to prototype copilots agents and tooling quickly.
Wafer-Scale Systems
Use CS series hardware and cloud clusters to shorten training cycles on large models with expert support.
APIs and SDKs
Integrate inference endpoints into applications with high throughput and predictable performance.
Enterprise Support
Engage with security reviews SLAs and capacity planning to move pilots into production reliably.
Frequently Asked Questions
How does pricing start?
Cerebras lists developer subscriptions starting from $50 per month, while enterprise training and deployments are priced via sales.
Is there an API?
Self-serve tiers and enterprise plans expose APIs and SDKs for integration into applications and pipelines.
Do you sell hardware?
Yes wafer-scale CS systems back managed clouds and on-prem deployments used in training and inference projects.
Can I run private workloads?
Enterprise engagements include options for dedicated capacity and security reviews to meet compliance needs.
Is there a free trial?
Availability varies; check the current developer sign-up page for trial credits or promos.
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