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Cerebras

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AI platform using wafer-scale chips for ultra-fast model training, fine-tuning, and inference

ウェブサイト:https://www.cerebras.ai/
追加日:2026年7月13日
月間訪問者数:
789.5K
ソーシャルと電子メール:
AI trainingAI inferencewafer-scale engineultra-fast AIOpenAI compatibleopen models

ツール情報

Cerebrasとは何ですか?

Cerebras is an AI platform that delivers extreme-speed AI training, fine-tuning, and inference on Cerebras Wafer-Scale Engine hardware. It provides flexible cloud, dedicated, and on-premises options plus OpenAI-compatible APIs for serving open models, enabling developers and enterprises to train, fine-tune, and serve models on one unified platform.

コア機能

  • Wafer-Scale Engine

    Purpose-built chip that is 58x larger and 15x faster than GPUs for ultra-fast AI workloads.

  • Ultra-fast inference

    Supports inference speeds of 1,000+ tokens per second, including multimodal models at 1,800+ tokens per second.

  • Train, fine-tune, and serve platform

    Unified platform for lightning-fast inference plus fine-tuning or pre-training models on custom data.

  • Flexible deployment options

    Deploy the same models and agents across cloud, dedicated, on-premises, and on-device environments with in-region inference for latency, data residency, and compliance.

  • OpenAI API compatibility

    Drop-in OpenAI API compatibility enabling developers to get started in under 30 seconds and serve open models via API key.

  • Open model serving

    Serve open models including GLM, OpenAI, Qwen, Llama and more in seconds with an API key.

使用例

  • #1

    High-speed coding and development

    Code, debug, and refactor instantly so developers never lose flow, enabling products that others cannot build.

  • #2

    Multi-step AI agents

    Execute multi-step workflows without delays or timeouts for agents that never stall.

  • #3

    Instant answers and analysis

    Complex reasoning in under a second for deep search, copilots, and analysis applications.

  • #4

    Real-time conversational AI

    Instant, accurate voice responses supporting higher-quality flowing conversations.

以下に最適:DevelopersEnterprisesAI buildersCloud service providers

料金プラン

Pricing details are not clearly published by the official source on the main pages. The site emphasizes leading price-performance and lower AI infrastructure costs compared to GPU clouds while achieving up to 15x faster inference. A pricing page is linked from the homepage.

代替案

よくある質問

What is Cerebras?
Cerebras is an AI platform that uses wafer-scale chips for ultra-fast model training, fine-tuning, and inference across cloud and on-premises deployments. It is designed to deliver extreme-speed AI workloads on purpose-built Cerebras Wafer-Scale Engine hardware.
What makes Cerebras different from GPU-based platforms?
Cerebras uses a purpose-built Wafer-Scale Engine chip that is 58x larger and 15x faster than GPUs for ultra-fast AI workloads, with support for inference speeds of 1,000+ tokens per second. Performance comparisons are based on third-party benchmarking or internal testing and may vary by workload, configuration, date, and models.
How much does Cerebras cost?
Pricing details are not clearly published by the official source on the main pages. The company emphasizes leading price-performance with lower AI infrastructure costs compared to GPU clouds and up to 15x faster inference. A pricing page is linked from the homepage.
Does Cerebras support OpenAI-compatible APIs?
Yes. Cerebras offers drop-in OpenAI API compatibility so developers can get started in under 30 seconds and serve open models via an API key.
What deployment options does Cerebras offer?
The same models and agents can be deployed across cloud, dedicated, on-premises, and on-device environments, with in-region inference to support latency, data residency, and compliance needs.
Which open models can I serve with Cerebras?
Cerebras supports serving open models including GLM, OpenAI, Qwen, Llama and more in seconds with an API key.

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ツール情報

料金モデルNot clearly published
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タグ
AI trainingAI inferencewafer-scale engineultra-fast AIOpenAI compatibleopen models
言語英語
最終更新日2026年7月16日