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Compare GPU pricing between Seeweb and Spheron. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.27/hour between comparable GPUs
| GPU Model ↑ | Seeweb Price | Spheron Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • SeewebSpheron | ↑+$0.04(+3.4%) | |||
A30 24GB VRAM • Seeweb | Not Available | — | ||
A30 24GB VRAM • | ||||
B200 180GB VRAM • Spheron | Not Available | — | ||
B200 180GB VRAM • | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • SeewebSpheron | ↑+$0.07(+3.4%) | |||
H200 141GB VRAM • SeewebSpheron | ↓$0.32(9.7%) | |||
HGX B300 288GB VRAM • Spheron | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Seeweb | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • SeewebSpheron | ↑+$0.02(+1.7%) | |||
MI300X 192GB VRAM • SeewebSpheron | ↓$0.89(24.8%) | |||
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 A6000 48GB VRAM • Seeweb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • SeewebSpheron | ↑+$0.27(+22.8%) | |||
A100 SXM 80GB VRAM • SeewebSpheron | ↑+$0.04(+3.4%) | |||
A30 24GB VRAM • Seeweb | Not Available | — | ||
A30 24GB VRAM • | ||||
B200 180GB VRAM • Spheron | Not Available | — | ||
B200 180GB VRAM • | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • SeewebSpheron | ↑+$0.07(+3.4%) | |||
H200 141GB VRAM • SeewebSpheron | ↓$0.32(9.7%) | |||
HGX B300 288GB VRAM • Spheron | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Seeweb | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • SeewebSpheron | ↑+$0.02(+1.7%) | |||
MI300X 192GB VRAM • SeewebSpheron | ↓$0.89(24.8%) | |||
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 A6000 48GB VRAM • Seeweb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • SeewebSpheron | ↑+$0.27(+22.8%) | |||
Explore how these providers compare to other popular GPU cloud services
Compare Seeweb with another leading provider
Compare Seeweb with another leading provider
Compare Seeweb with another leading provider
Compare Seeweb with another leading provider
Compare Seeweb with another leading provider
Compare Seeweb with another leading provider
Hourly billing with no minimum commitment, pay only for what you use
Scale from 1 to 8 GPUs per instance across all available models
Full Terraform support for automated provisioning and management
Native Kubernetes support for orchestrating GPU workloads
High-bandwidth network connectivity for data-intensive workloads
REST API for server, spot instance, template and snapshot management, with manual or automatic snapshots
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 rather than rounded up to the hour, past a 20-minute minimum runtime (60 minutes for a 2x AMD MI300X)
NVIDIA 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 and full root access, with a dedicated IP on NVIDIA instances
Spheron sources large clusters, specific hardware and InfiniBand configurations from its partner data center network, with a typical quote turnaround of 24-48 hours
On-demand GPU cloud servers with hourly billing and flexible configurations.
Managed serverless GPU inference service billed on usage, without provisioning a full instance.
NPU-accelerated cloud servers for AI inference workloads alongside the GPU lineup.
Pay-per-hour billing with no commitment
Discounted hourly rate with 3-month commitment
Further discounted rate with 6-month commitment
Best rate with annual commitment
Reclaimable spare-capacity GPU instances at reduced rates, with termination notice and the option to promote a spot instance to a standard one
Non-interruptible instances covered by an uptime SLA and billed per minute, with no contract or long-term commitment
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
Register on the Seeweb platform
Choose GPU model and quantity (1, 2, 4, or 8 GPUs)
Launch your cloud GPU server and start using it
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
Data centers in Milan (Italy), Frosinone (Italy), Lugano (Switzerland), and Sofia (Bulgaria)
24x7x365 service desk with three support levels (Basic, Global, Proactive) plus pre-sales engineering
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