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Compare GPU pricing between Spheron and Vultr. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.75/hour between comparable GPUs
| GPU Model ↑ | Spheron Price | Vultr Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • SpheronVultr | 4x GPU | ↓$0.14(10.9%) | ||
A40 48GB VRAM • Vultr | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • SpheronVultr | 8x GPU | ↑+$1.87(+53.4%) | ||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • SpheronVultr | 8x GPU | ↓$0.25(10.9%) | ||
H200 141GB VRAM • Spheron | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Spheron | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Spheron | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Vultr | Not Available | 8x GPU | — | |
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • Vultr | Not Available | 8x GPU | — | |
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • Vultr | Not Available | 8x GPU | — | |
MI355X 288GB 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 • Spheron | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • SpheronVultr | 4x GPU | ↓$0.14(10.9%) | ||
A40 48GB VRAM • Vultr | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • SpheronVultr | 8x GPU | ↑+$1.87(+53.4%) | ||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • SpheronVultr | 8x GPU | ↓$0.25(10.9%) | ||
H200 141GB VRAM • Spheron | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Spheron | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Spheron | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Vultr | Not Available | 8x GPU | — | |
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • Vultr | Not Available | 8x GPU | — | |
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • Vultr | Not Available | 8x GPU | — | |
MI355X 288GB 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 • Spheron | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
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 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
Access to diverse GPU options including AMD Instinct and NVIDIA Tensor Core GPUs
Deploy GPU resources across 32 cloud data center regions worldwide
Vultr Kubernetes Engine for GPU-accelerated containerized workloads
Deploy and scale GenAI models quickly with Vultr Serverless Inference
Choose between GPU-accelerated VMs or dedicated bare metal servers
Accelerate content delivery across six continents with Vultr CDN
Virtual machines and bare metal servers with NVIDIA GPUs
Computing infrastructure powered by AMD Instinct accelerators
Managed Kubernetes service for GPU-accelerated containerized applications
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
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
Sign up for a free Vultr account
Choose from AMD or NVIDIA GPU options based on your workload
Select between virtual machine or bare metal deployment
Set up networking, storage, and security options before launching
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
32 global cloud data center regions across North America, South America, Europe, Asia, Africa, and Australia
Documentation, community forums, support tickets, and dedicated customer support