Rent NVIDIA GPUs On-Demand | Cloud GPU Marketplace for B300, B200, H200, H100, A100

Enterprise GPU Infrastructure

One platform, every GPU cloud. Deploy H100s to B300s across multiple providers. On-demand, no lock-in, from a single dashboard.

50+GPU Models
99.9%Uptime SLA
<60sDeploy Time
Contact Sale
▍ In their words
Confidential AI
We did not want to spend engineering time comparison-shopping GPU rentals. Spheron found us H200 capacity at the best price in the market, from a Tier 3+ partner they had already vetted, with long-term commitment terms negotiated on our behalf and the rental validated before we went live. When we need more capacity, or anything operational with the data center, we message their team directly. That lets us stay focused on the product.
Prem AI logoJaipal Singh, Chief Technology Officer, Prem AI
Read the case study
Live marketplace rates

GPU PRICING

Starting from the cheapest live offer on the Spheron marketplace. Billed per minute. No commitments.

GPU · Model
Rate · USD / hr
Custom & reserved capacity

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

01

Submit your requirements

Tell us your GPU needs, timeline, and scale

02

Spheron sources from certified data centers

We match, negotiate pricing, and handle setup

03

Reserved capacity confirmed

Guaranteed availability, ready to deploy

Typical turnaround: 24–48 hours for custom sourcing

Why Rent GPUs on Spheron?

Deploy GPU instances in minutes. No procurement calls, no setup overhead. Just GPUs, ready to go.

Access multiple GPU cloud providers from one account. No vendor lock-in, no multi-account headache.

Unified GPU billing and cost management. Track all compute spend across providers in one dashboard.

GPU pricing comparison chart showing annual costs: Spheron at $14,400, CoreWeave at $18,000, and AWS at $39,456
Enterprise GPU pricing comparison showing Spheron offers the most competitive pricing compared to CoreWeave and AWS.

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.

Comparison reflects published H100 on-demand annual rates. Last updated April 2026. Live marketplace pricing on the pricing page.

No pricing
Transparent pricing. No lock-in.
Compute value
Unified SLA across all providers. One standard, everywhere.
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The GPU cloud
built for AI training

Global GPU network illustration
Why We're
Building Spheron
AI compute shouldn't cost 3x more just because AWS has a bigger logo.

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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VM
Standard VM Images
NVIDIA CUDA logoPyTorch logoNVIDIA Container Toolkit logo
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GPU
Ideal GPU Discovery
We aggregate pricing from multiple cloud providers so you can find and choose the best deal for your needs.
Find Your GPU
Availability Icon
Maximize Your Availability
Your favorite GPUs, at 99.99% availability.
H100
Available
A100
Available
B200
Available
GPU Infrastructure

GPU Cloud Marketplace

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 NVIDIA GPUs (H100, H200, B200, A100, and more) at 40 to 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.

Secure Logo

Compliant & Secure.

HIPAA Compliance Badge

HIPAA

ISO 27001 Compliance Badge

ISO 27001

SOC I Compliance Badge

SOC 2 Type I

SOC II Compliance Badge

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.

FAQ // 07

Frequently asked questions

Answers to the questions teams ask before they deploy on Spheron.

You get both options. You can choose to lease either bare metal or VM instances directly from the dashboard.

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.

Absolutely. It's your VM, you have full root access, so you can run containers or any other workloads as you see fit.

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.

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.

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

Yes, Spheron accepts both traditional payment methods and stables (USDT and USDC). Enterprise invoicing is also available for larger deployments.

Spheron provides bare-metal GPU access at significantly lower prices than Runpod: H100 SXM5 from $1.33/hr versus Runpod's $2.99/hr on-demand rate. Key differences: Spheron bills per-minute (no wasted hours), has no minimum commitment, and offers InfiniBand-connected multi-GPU clusters up to 8x. For a full side-by-side breakdown of pricing, billing, and GPU availability, see our Runpod alternatives guide.

See Runpod alternatives →