Fluidstack vs Replicate

Both sell GPU compute for AI. Fluidstack contracts bare metal clusters for model training and publishes no rates, while Replicate runs A100 to H200 models behind an API and bills per second.

What's good about each

Fluidstack

Managed Slurm and Kubernetes clusters on bare metal
Active and passive cluster health checks with observability
ClusterMAX Gold rating from SemiAnalysis
Custom data centers built for a single customer's workload

Replicate

Run AI/ML models without having to manage the infrastructure
Excellent web UI to explore and try out models without code
Train and deploy custom models using Cog

GPUs

Replicate offers 5 GPU models. We don't currently list GPU prices for Fluidstack.

All 5 GPUs on Replicate

Runpod

Spin Up a GPU in Seconds - No Setup Required

Deploy AI Models Globally in 30+ Regions

Scale from 0 to 1000 GPUs on Demand

PyTorch, Tensorflow & Docker Ready

Learn more

Services

Managed services each provider offers.

Service	Fluidstack	Replicate
GPU-powered Servers

Company details

Fact	Fluidstack	Replicate
Founded	2017	2019
Headquarters	USA	USA
Locations	4	--
Example customers	--	BuzzFeed, Labelbox, PhotoAI, Character.ai, Magnific, Unsplash, HeadshotPro
Website	www.fluidstack.io	replicate.com

Alternatives to consider

Compare Fluidstack and Replicate against other cloud providers.

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Our data for Fluidstack was last updated on Sept. 18, 2026, and for Replicate on Oct. 22, 2026.