Fireworks AI vs Cerebrium

Fireworks AI9.0Visit Cerebrium8.5Visit

Higher score Fireworks AI #4 in AI Model Hosting 9.0/10 Paid ✓ 4 of 4 features Visit Fireworks AI

vs

Cerebrium #9 in AI Model Hosting 8.5/10 Free plan Free plan✓ 4 of 4 features Visit Cerebrium

• Fireworks AI fits best

  Production teams needing global model serving

• Cerebrium fits best

  Teams needing serverless multi-region inference

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Side by side

Feature	Fireworks AI 9.0/10 Visit ↗	Cerebrium 8.5/10 Visit ↗
At a glance
Editor score	9.0	8.5
Ranking	#4 in AI Model Hosting	#9 in AI Model Hosting
Best for	Production teams needing global model serving	Teams needing serverless multi-region inference
Pricing model	Paid	Free plan + paid
Starting price	$0.05/unit usage-based	$100/mo
Free plan	—	✓ (best)
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud
Platforms	Web	Web
Support	Community, Docs	Live chat, Community, Docs
Compliance	SOC 2, HIPAA, GDPR, SSO/SAML	SOC 2, HIPAA, GDPR, ISO 27001
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Fireworks AI 4/4 · Cerebrium 4/4
Autoscaling	✓	✓
GPU accelerators	✓	✓
Private deployment	✓	✓
Batch inference	✓	✓
Specs
Deployment mode	Both	Serverless
Supported model formats	safetensors, bin	PyTorch, ONNX, TensorRT, CTranslate2
Deployment regions	26 regions	Not checked yet
Our review
Pros	Serverless and dedicated inference support different production workloads Autoscaling, scale-to-zero, and batch inference support operational flexibility 26 regions, compatible APIs, and bring-your-own-cluster deployment options	Serverless CPU and GPU deployments with configurable autoscaling REST, streaming, WebSocket, async, and OpenAI-compatible endpoints Multi-region controls, batching, Docker deployment, and OpenTelemetry support
Cons	There is no free plan Pricing is usage-based rather than organized around monthly subscriptions The listed serverless rate applies to one named model	Usage-based CPU, GPU, memory, and storage charges require cost monitoring Hobby limits teams to 3 seats and up to 3 deployed applications Standard adds a $100 monthly fee before metered compute charges
Our verdict	Fireworks AI is a hosted platform for serving, customizing, evaluating, and training open AI models. It supports serverless per-token inference for prototyping and dedicated GPU deployments for production workloads. Developers can deploy… Read the review →	Cerebrium is a cloud platform for deploying, serving, and scaling AI workloads such as large language models, voice agents, video models, embeddings, and batch jobs. It is aimed at developers and teams running production AI applications… Read the review →

Strengths and trade-offs

• Fireworks AI — where it wins

  • Serverless and dedicated inference support different production workloads
  • Autoscaling, scale-to-zero, and batch inference support operational flexibility
  • 26 regions, compatible APIs, and bring-your-own-cluster deployment options

  Where it doesn't

  • There is no free plan
  • Pricing is usage-based rather than organized around monthly subscriptions
  • The listed serverless rate applies to one named model

• Cerebrium — where it wins

  • Serverless CPU and GPU deployments with configurable autoscaling
  • REST, streaming, WebSocket, async, and OpenAI-compatible endpoints
  • Multi-region controls, batching, Docker deployment, and OpenTelemetry support

  Where it doesn't

  • Usage-based CPU, GPU, memory, and storage charges require cost monitoring
  • Hobby limits teams to 3 seats and up to 3 deployed applications
  • Standard adds a $100 monthly fee before metered compute charges

• Fireworks AI9.0/10 · Paid

  A flexible serving platform for production teams that need global model deployment.

  Visit Fireworks AIFull verdict →
• Cerebrium8.5/10 · Free plan

  Cerebrium fits teams that need serverless CPU/GPU inference across regions and endpoint styles.

  Visit CerebriumFull verdict →