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Compare GPU pricing between Hinode and Spheron. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $4.60/hour between comparable GPUs
| GPU Model ↑ | Hinode Price | Spheron Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Spheron | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Spheron | Not Available | — | ||
B200 180GB VRAM • | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Spheron | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Spheron | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Spheron | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Hinode | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • HinodeSpheron | ↑+$2.35(+247.4%) | |||
MI300X 192GB VRAM • Spheron | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 4090 24GB VRAM • Spheron | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Spheron | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Spheron | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • HinodeSpheron | ↑+$6.85(+570.8%) | |||
A100 SXM 80GB VRAM • Spheron | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Spheron | Not Available | — | ||
B200 180GB VRAM • | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Spheron | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Spheron | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Spheron | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Hinode | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • HinodeSpheron | ↑+$2.35(+247.4%) | |||
MI300X 192GB VRAM • Spheron | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 4090 24GB VRAM • Spheron | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Spheron | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Spheron | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • HinodeSpheron | ↑+$6.85(+570.8%) | |||
Explore how these providers compare to other popular GPU cloud services
Compare Hinode with another leading provider
Compare Hinode with another leading provider
Compare Hinode with another leading provider
Compare Hinode with another leading provider
Compare Hinode with another leading provider
Compare Hinode with another leading provider
Workstation hibernates after 15 minutes of inactivity and wakes with everything intact.
One click allows the user to swap in a bigger GPU for a single training run.
Offers both monthly subscription and hourly pay-as-you-go options.
Supports streaming in 1080p60 for all tiers.
Accessible via web browser or native applications for Mac and Windows.
Access GPU capacity from multiple cloud providers and certified data centers from one account, without separate signups per provider
Instances are billed by the minute with no minimum rental period or rounding up to the hour
Instances are typically ready in under two minutes with no approval workflow or provisioning queue
Compute spend across every connected provider is tracked in a single dashboard
Each VM or bare metal instance includes NVMe SSD storage, network bandwidth, a dedicated IP address and full root access
Spheron sources large clusters, specific hardware and InfiniBand configurations from its partner data center network, with a typical quote turnaround of 24-48 hours
Non-interruptible instances billed per minute with no commitment or minimum rental period
Idle capacity on the same hardware at up to 50% off dedicated rates, interruptible when the provider reclaims it
Commit to a duration for locked capacity, volume pricing and dedicated support
Quoted deployments from 8 to 512+ GPUs with specific hardware and InfiniBand configurations sourced from partner data centers
Create an account in seconds, without a trial.
Boots to an Ubuntu desktop ready for use.
Access the desktop through a browser or native app.
Upgrade to a higher tier GPU for demanding tasks.
Browse available GPU models with live pricing and filter by VRAM, architecture or price
Choose a region, storage and OS image, then deploy; instances are provisioned in around two minutes
SSH in and start working, switch to another GPU model at any time, or spin down to stop per-minute billing
Submit requirements for reserved capacity or custom clusters and Spheron sources, negotiates and sets up the deployment
US, EU
Email and chat support available.
Capacity sourced from vetted Tier 3/4 partner data centers spanning multiple continents; region is selected at deploy time
Documentation, API reference and changelog at docs.spheron.ai, plus sales contact and call scheduling for reserved capacity and custom cluster quotes