Prime Intellect vs jilebi

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Prime Intellect compared with jilebi
Detail	Prime Intellect	jilebi
What it does	The Open Superintelligence Stack	Linux machines in the cloud for AI agents
Stage	Startup	Startup
Founded	Not given	Not given
Based in	US	Not given
Pricing model	Paid	Paid
Pricing	Compute on-demand: H200 starting at $0.47/HR to $1.99/HR, B300 at $4.99/HR, B200 at $3.49/hr, H100 at $2.43/HR (Spot $0.94/HR). Reserved clusters available with quotes from 50+ datacenters.	CPU: $0.009/vCPU·hr, Memory: $0.009/GB·hr, Disk: $0.0001/GB·hr. Stopped machines cost $0.0001/GB·hr.
Key features	2,500+ RL environments on the Hub 100+ open-source model evaluations Managed training workflows with full visibility GLM-5.3 hosted inference OpenAI-compatible API SLURM and Kubernetes orchestration Infiniband networking for distributed training Grafana monitoring dashboards Secure code sandboxes for RL	Launch machines in seconds Auto-sleep when not in use Wake up in milliseconds Dedicated CPU, memory and disk per instance Clone machines with same setup Automatic routing without IP configuration Standard tools support (docker, ssh) Share routes with selective access
What makes it different	Integrated stack combining training, inference, compute and evaluations in one platform Backed by leading investors including NVIDIA, Founders Fund, and AI researchers Large-scale open-source community with 2,500+ environments and models Applied research team providing hands-on support for training Competitive pricing with spot market and reserved cluster options	Machines wake in milliseconds No special CLI required Fully isolated virtual sandbox for each machine No credit card required to start
Community votes	0	0
DR (Domain Rating by Ahrefs)	73 no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	20	0
Citation Flow (Majestic)	45	19
Referring domains (Majestic)	2989	10

6 details filled in for both companies.

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