Enterprise GPU Rental – On-Demand NVIDIA GPUs
Trusted by Industry Leaders
GPU PRICING
B300
H100
B200
GH200
RTX PRO 6000
RTX 5090
H200
A100
L40S
RTX 4090
Need More Than
What's Listed?
We'll Source It.
On-demand by default. Lock in reserved pricing when you're ready to commit. Large clusters, custom configs, or long-term capacity, tell us what you need and we'll match you with the right provider from our certified data center network.
Reserved Capacity
Commit to a duration, lock in availability and better rates
Custom Clusters
8 to 512+ GPUs, specific hardware, InfiniBand configs on request
Supplier Matchmaking
Spheron sources from its certified data center network, negotiates pricing, handles setup
How It Works
Submit your requirements
Tell us your GPU needs, timeline, and scale
Spheron sources from certified data centers
We match, negotiate pricing, and handle setup
Reserved capacity confirmed
Guaranteed availability, ready to deploy
Typical turnaround: 24–48 hours for custom sourcing
Why Spheron?
Deploy in minutes. No procurement calls. No setup overhead. Just GPUs, ready to go.
Every GPU cloud, one login. Multi-provider access without the multi-account headache.
One bill, full visibility. All GPU spend across every provider, in a single dashboard.
Deploy in minutes. No procurement calls. No setup overhead. Just GPUs, ready to go.
Every GPU cloud, one login. Multi-provider access without the multi-account headache.
One bill, full visibility. All GPU spend across every provider, in a single dashboard.

Why pay more for the same GPU?
Hyperscalers charge a premium for the same hardware you can get elsewhere. Spheron aggregates that supply directly from certified data centers globally, so you get enterprise-grade GPUs at 40–60% less, without the AWS tax.

Spheron's
building blocks
Building Spheron
Spheron was built to fix that. We aggregate enterprise-grade GPU capacity from certified data centers worldwide into a single, transparent platform.
No waitlists. No lock-ins. No hidden margins. Just the compute your team needs, ready when you need it.
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Who We Are
Spheron aggregates GPU capacity from data centers worldwide so you get the compute you need, without the hyperscaler markup. One dashboard, every provider, transparent pricing.
We give you direct access to enterprise-grade GPUs - H100, H200, B200, A100, and more - at 40–60% below hyperscaler pricing, with no contracts and no waitlists. For standard workloads, deploy in minutes. For larger or custom requirements, we source and match capacity from our verified provider network on your behalf.
We handle the infrastructure. You focus on building.

Compliant & Secure.

HIPAA

ISO 27001

SOC 2 Type I

SOC 2 Type II
Our data center partners hold ISO 27001, SOC 2 Type I & II, and HIPAA certifications. All facilities are Tier 3 or Tier 4 rated with redundant power, cooling, and network infrastructure.
EXPLORE OUR COMMUNITY
Frequently asked questions
Is it VM or Bare Metal?
You get both options. You can choose to lease either bare metal or VM instances directly from the dashboard.
Will I get a dedicated IP address?
Yes. Each machine comes with a dedicated IP address. You'll be able to SSH into your VM or bare metal server with full root access.
Can I run containers on it?
Absolutely. It's your VM, you have full root access, so you can run containers or any other workloads as you see fit.
Is InfiniBand supported?
It depends on the provider. Some offer InfiniBand, while others don't. If it's available, it will be clearly mentioned on the dashboard before you lease the machine.
Will I get 100% uptime?
Our data center partners deliver 99.98%+ availability with redundant power and networking. While no infrastructure guarantees 100%, you can expect enterprise-grade uptime across all providers.
How do I get support?
Plug-and-play for standard deployments. For 100+ GPU clusters, you get dedicated support via Slack or Discord, plus sourcing assistance for the best rates.
Book a call →Can I pay with crypto?
Yes, Spheron accepts both traditional payment methods and crypto. Enterprise invoicing is also available for larger deployments.