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Koyeb

Updated Jul 26, 2026
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Deploy AI models and apps on high-performance GPUs and CPUs with global autoscaling. Up to 80% savings, sub-100ms latency, zero ops.

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#serverless#cloud#ai#gpu#deployment
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Editor's Verdict

Rating: 4.7/5.0Reviewed by RAGWiki
At $29/month, Koyeb stands out as a powerful solution in the developer tools landscape. It is especially well-suited for professionals like AI/ML Engineer and Software Developer. However, potential buyers should note that it might not be perfect if you are strictly trying to avoid limited free tier. Overall, it offers a robust toolset that significantly accelerates workflows.

Key Takeaways

  • Serverless Containers
  • Automatic Scaling
  • Global Deployment
  • Extreme Performance

In-Depth Review: What is Koyeb?

"

Koyeb provides a next-generation serverless cloud platform optimized for AI workloads. Deploy models and applications on dedicated GPUs (NVIDIA, AMD), CPUs, or accelerators with automatic scaling from zero to hundreds of servers. With over 50 global locations, sub-200ms cold starts, and pay-per-second billing, Koyeb offers up to 80% cost savings compared to traditional hyperscalers. Supports one-click deployment of popular models like DeepSeek, Llama, Mistral, Qwen, and frameworks like vLLM, LangServe, and Unsloth. Built for teams — continuous deployment, zero-downtime, WebSocket/gRPC, and integrated Postgres with pgvector.

Core Features

Serverless Containers

Deploy production-grade containers with zero configuration — we scale to hundreds of servers and back to zero in seconds.

Automatic Scaling

Seamlessly scale up from zero to hundreds with sub-200ms cold-start and scale-to-zero capability.

Global Deployment

Improve availability and get sub-100ms latency worldwide with over 50 locations.

Extreme Performance

Run all models and apps on high-performance CPUs, GPUs, and accelerators from AMD, Intel, and Nvidia.

Any Stack Support

Build APIs, distributed systems, or blazing-fast inference endpoints. Deploy code, containers, or models with a Git push or CLI call.

Zero-Downtime Deployments

Built-in continuous deployment with automatic health checks to prevent bad deployments.

Native HTTP/2, WebSocket, and gRPC

Stream large or partial responses to end-users and accelerate connections through a global edge network.

Serverless Postgres + pgvector

Store, index, and search embeddings with your data at scale using fully managed Serverless Postgres.

Ultra-Fast NVMe Storage

Store datasets, models, and fine-tune weights on blazing-fast NVMe disks with high write/read throughput.

Logs and Instance Access

Troubleshoot and investigate issues using real-time logs or direct connection to instances.

Pricing

Pro

$29/month
  • $10 included compute
  • 10 users
  • 100 services
  • NVMe Volumes and Snapshots
  • 5 concurrent builds
  • E-mail support and chat
Most Popular

Scale

$299/month
  • $100 included compute
  • 50 users
  • 1000 services
  • AWS Regions
  • Slack cross-connect
  • 99.9% uptime SLA

Enterprise

Custom (starting at $1000/month)
  • Private dedicated locations
  • Unlimited users
  • SSO, RBAC, and Audit trail
  • Custom RAM, CPU, and GPU
  • ISO27001 and SOC2 Certifications
  • 99.99% uptime SLA
  • 24×7×365 premium support

Pros and Cons

Pros

  • Pay-per-second billingOnly pay for what you use with per-second billing, no minimum commitment.
  • Autoscaling with scale-to-zeroInfrastructure scales automatically from zero to hundreds, reducing costs during idle periods.
  • Global reachDeploy in 50+ locations worldwide for low-latency and high availability.
  • GPU and accelerator supportAccess a wide range of GPUs (e.g., A100, H100) and accelerators from major vendors.
  • Developer-friendlyDeploy via Git push, CLI, or one-click apps; support for popular frameworks and languages.

Cons

  • Limited free tierNo permanent free plan; only a 5-hour free Postgres instance and a $10 compute credit on Pro plan.
  • Complex pricing for large deploymentsAdditional bandwidth and service costs can accumulate; may require careful monitoring.
  • No dedicated support on basic plansPro plan only includes e-mail and chat; phone support requires Enterprise plan.
  • Region availability for lower-tier plansPro and Scale limited to 7 regions; Enterprise required for 50+ locations.
  • Learning curve for CLI and configWhile Git-push is easy, advanced features may require understanding of Koyeb CLI and infrastructure concepts.

Use Cases & Recommended Professions

AI/ML Engineer→ View Toolkit

Deploy and scale machine learning models for inference and fine-tuning without managing infrastructure.

Software Developer→ View Toolkit

Build and deploy APIs, microservices, and full-stack apps with automatic scaling and global distribution.

DevOps Engineer→ View Toolkit

Simplify infrastructure management with serverless containers, CI/CD pipelines, and observability tools.

Data Scientist→ View Toolkit

Run Jupyter notebooks, fine-tune LLMs, and deploy models interactively with GPU support.

Startup Founder→ View Toolkit

Quickly launch and scale AI-powered applications with minimal upfront cost and flexible pricing.

Product Manager→ View Toolkit

Accelerate time-to-market by leveraging one-click deployments of AI stacks and web frameworks.

Frequently Asked Questions

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ℹ️ Curation Disclosure: The overview and features of Koyeb were synthesized using AI and fact-checked by our curation team to ensure accuracy.

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