How do their growth rates compare?

FluidStack has a month-over-month growth rate of +7.3%; Trelent has 0%.

How does pricing compare?

FluidStack: Paid, Contact for Pricing. Enterprise and contact-for-pricing. FluidStack does not publish per-GPU-hour rates or a self-serve sign-up on its website; capacity is scoped and quoted through a direct sales conversation based on cluster size, duration and hardware. Catalogue listings classify it as a paid product requiring contact for pricing. Trelent: Contact for Pricing. Contact for pricing. Trelent runs a two-stage model: a 2-4 month validation engagement at roughly $10k-$25k per month depending on scope, followed by outcome-based pricing tied to an agreed business metric such as clients onboarded or issues resolved.

What are alternatives to FluidStack and Trelent?

Other tools in related categories include fal.ai, RunPod, Together AI, Vast.ai, Modal.

FluidStack vs Trelent — Traffic (154.62K vs 0), Pricing & Verdict

Open AI Tools

FluidStack vs Trelent — Traffic (154.62K vs 0), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	FluidStack	Trelent
Official Domain	fluidstack.io	trelent.com
Pricing Model	Paid, Contact for Pricing	Contact for Pricing
Monthly Visits	154.62K (154,620)	0 (0)
MoM Traffic Delta	+10.49K (+7.3%)	0 (0%)
Primary Market & Share	🇺🇸 United States (95.7%)	🌐 Global (—)
Direct Visits / mo	47.87K	0
User Rating	4.4	4.1
Supported Platforms	Website	Website

FluidStack

Gigawatt-scale AI compute, built and operated end to end

Datacenter-scale compute built in-house

FluidStack designs and builds large AI data centers, including high-density campuses with significant per-site power capacity, rather than reselling capacity from other clouds.

GPU clusters for training and inference

Clusters are architected for large-scale model training and inference, with high-bandwidth interconnect and orchestration suitable for distributed workloads.

Power and cooling engineered together

The company develops off-grid solar and recirculating closed-loop cooling, treating power and water efficiency as core engineering problems.

Managed operations and reliability

Smart hands, cluster provisioning and operations support let research teams focus on models while FluidStack runs the physical and orchestration layers.