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Compare GPU pricing between Spheron and Verda. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.33/hour between comparable GPUs
| GPU Model ↑ | Spheron Price | Verda Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Verda | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • SpheronVerda | ↑+$0.23(+26.8%) | |||
B200 180GB VRAM • SpheronVerda | ↑+$2.06(+63.1%) | |||
GB300 576GB VRAM • Verda | Not Available | 4x GPU | — | |
GB300 576GB VRAM • | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • SpheronVerda | 2x GPU | ↑+$0.42(+24.8%) | ||
H200 141GB VRAM • SpheronVerda | ↑+$1.10(+50.0%) | |||
HGX B300 288GB VRAM • SpheronVerda | ↑+$6.23(+156.5%) | |||
L40S 48GB VRAM • SpheronVerda | ↑+$0.23(+30.8%) | |||
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 • SpheronVerda | ↑+$0.14(+26.1%) | |||
RTX A6000 48GB VRAM • Verda | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • SpheronVerda | 2x GPU | ↑+$0.24(+25.2%) | ||
A100 PCIE 40GB VRAM • Verda | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • SpheronVerda | ↑+$0.23(+26.8%) | |||
B200 180GB VRAM • SpheronVerda | ↑+$2.06(+63.1%) | |||
GB300 576GB VRAM • Verda | Not Available | 4x GPU | — | |
GB300 576GB VRAM • | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • SpheronVerda | 2x GPU | ↑+$0.42(+24.8%) | ||
H200 141GB VRAM • SpheronVerda | ↑+$1.10(+50.0%) | |||
HGX B300 288GB VRAM • SpheronVerda | ↑+$6.23(+156.5%) | |||
L40S 48GB VRAM • SpheronVerda | ↑+$0.23(+30.8%) | |||
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 • SpheronVerda | ↑+$0.14(+26.1%) | |||
RTX A6000 48GB VRAM • Verda | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • SpheronVerda | 2x GPU | ↑+$0.24(+25.2%) | ||
Explore how these providers compare to other popular GPU cloud services
Compare Spheron with another leading provider
Compare Spheron with another leading provider
Compare Spheron with another leading provider
Compare Spheron with another leading provider
Compare Spheron with another leading provider
Compare Spheron with another leading provider
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
Complete platform for AI development from experimentation to production deployment
InfiniBand and NVLink for efficient multi-GPU communication and clustering
ISO 27001/27017/27018/27701 certified with GDPR compliance and EU sovereignty
100% renewable energy-powered Nordic data centers
Web console, API, SDK, Verda CLI, Terraform and OpenTofu providers, and comprehensive documentation
Internal research team contributing to open inference projects such as SGLang and vLLM and co-researching with customers
On-demand virtual machines with 1x-8x NVIDIA GPUs and NVLink interconnects
Self-service access to 16x-128x GPU clusters with InfiniBand
Custom-built GPU clusters tailored to specifications
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
Transparent hourly pricing with no upfront commitments
Access spare capacity at significant discounts for flexible workloads
Volume discounts up to 25% with 1-2 year commitments
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
Create account at console.verda.com with email or GitHub
Add credit card for pay-as-you-go billing
Select GPU model and configuration, deploy in minutes
SSH access, JupyterLab, or API integration for your ML workloads
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
European data centers with focus on Nordic locations for optimal sustainability
Expert AI/ML infrastructure support team, comprehensive documentation, 99.9%+ uptime SLA