Platforms & Infrastructure

Modal alternatives

Explore 8 options alongside Modal (Modal Labs), a product in Platforms & Infrastructure.

Candidates share an existing guide group, a comparison, or specific tags within the same category. This shortlist is not a ranking or a test result.

Baseten

Listed together in guide “AI platforms and infrastructure”

Platform for deploying and serving machine-learning models as scalable APIs.

Paid

Use cases

  • Serving custom and open models in production
  • Low-latency inference APIs
  • Scaling ML services reliably

Pricing: Dedicated GPU compute is billed per minute with no charge for idle time, model APIs are billed per million tokens, and new accounts come with credits.

Documentation ↗ · Sources

This record was last reviewed on 2026-10-09.

Cerebras

Listed together in guide “AI platforms and infrastructure”

AI compute company whose inference cloud serves open language models on wafer-scale hardware.

Freemium

Use cases

  • Latency-sensitive applications needing fast tokens
  • Serving open models at high speed
  • Large-model training on specialized hardware

Pricing: Inference is usage-priced per token and starts with a free trial; training systems and on-premises deployments are sold separately.

Sources

This record was last reviewed on 2026-10-09.

Fal.ai

Listed together in guide “AI platforms and infrastructure”

Generative media inference platform for running diffusion and other models with a fast API.

Paid

Use cases

  • Adding image and video generation to apps
  • Serving open diffusion models at scale
  • Prototyping generative media pipelines

Pricing: Pricing is usage-based per inference or compute second; new developers receive free credits.

Documentation ↗ · Sources

This record was last reviewed on 2026-10-09.

Fireworks AI

Listed together in guide “AI platforms and infrastructure”

Inference platform for fast serving and fine-tuning of open-source generative AI models.

Paid

Use cases

  • Serving open models in production with low latency
  • Fine-tuning models on custom data
  • Migrating from closed APIs with minimal code change

Pricing: Pricing is usage-based per token, with dedicated capacity options; new developers receive free credits.

Pricing ↗ · Documentation ↗ · Sources

This record was last reviewed on 2026-09-10.

Groq

Listed together in guide “AI platforms and infrastructure”

AI inference platform powered by custom LPU hardware for very low-latency serving of open language models.

Freemium

Use cases

  • Latency-sensitive apps needing fast responses
  • Real-time assistants and agents
  • Serving open models at high speed

Pricing: A free tier is available; production usage is priced per token through Groq's API.

Sources

This record was last reviewed on 2026-09-10.

Together AI

Listed together in guide “AI platforms and infrastructure”

Cloud platform for running, fine-tuning, and hosting open-source AI models via serverless and dedicated endpoints.

Paid

Use cases

  • Serving open models without managing GPUs
  • Fine-tuning models on proprietary data
  • Scaling inference for production applications

Pricing: Pricing is usage-based: per-token for serverless endpoints and per GPU hour for dedicated capacity; free credits are offered for new users.

Pricing ↗ · Documentation ↗ · Sources

This record was last reviewed on 2026-10-09.

Nscale

Related: shares the task Running models yourself

AI cloud provider offering GPU clusters, managed Kubernetes and Slurm, and a serverless inference API compatible with OpenAI SDKs.

Paid

Use cases

  • Training and fine-tuning models on GPU clusters
  • Running inference through a serverless, OpenAI-compatible API
  • Operating containerized workloads on managed Kubernetes or Slurm

Pricing: Nscale does not publish a pricing page. Serverless inference is billed pay-as-you-go per token or request, compute is also available through reservations, and new accounts receive a small free credit according to the documentation.

Documentation ↗ · Sources

This record was last reviewed on 2026-09-10.

Gcore

Related: shares the task Running models yourself

Provider of edge AI, cloud, network, and security services, including GPU cloud, serverless inference with OpenAI-compatible APIs, and a global edge network.

Freemium

Use cases

  • Running GPU-accelerated AI workloads on H100 virtual machines
  • Serving models through a serverless endpoint with OpenAI-compatible APIs
  • Building private AI clouds with the AI Cloud Stack

Pricing: Gcore uses usage-based pricing with volume discounts. Some products, such as CDN, FastEdge, and DNS, offer free tiers, while AI and GPU usage is paid; H100 GPU virtual machines are billed per second and billing pauses when they are powered off.

Pricing ↗ · Documentation ↗ · Sources

This record was last reviewed on 2026-10-09.

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