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Compare GPU pricing between Spheron and Thunder Compute. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.01/hour between comparable GPUs
| GPU Model ↑ | Spheron Price | Thunder Compute Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • SpheronThunder Compute | ↑+$0.01(+0.9%) | |||
A100 SXM 80GB VRAM • $1.10/hour Updated: 9/21/2026 $1.09/hour Updated: 9/22/2026 ★Best Price Price Difference:↑+$0.01(+0.9%) | ||||
B200 180GB VRAM • Spheron | Not Available | — | ||
B200 180GB VRAM • | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 PCIe 80GB VRAM • Thunder Compute | Not Available | — | ||
H100 PCIe 80GB 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 • | ||||
L40 40GB VRAM • Thunder Compute | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Spheron | Not Available | — | ||
L40S 48GB VRAM • | ||||
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 A6000 48GB VRAM • Thunder Compute | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Spheron | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • SpheronThunder Compute | ↑+$0.01(+0.9%) | |||
A100 SXM 80GB VRAM • $1.10/hour Updated: 9/21/2026 $1.09/hour Updated: 9/22/2026 ★Best Price Price Difference:↑+$0.01(+0.9%) | ||||
B200 180GB VRAM • Spheron | Not Available | — | ||
B200 180GB VRAM • | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 PCIe 80GB VRAM • Thunder Compute | Not Available | — | ||
H100 PCIe 80GB 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 • | ||||
L40 40GB VRAM • Thunder Compute | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Spheron | Not Available | — | ||
L40S 48GB VRAM • | ||||
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 A6000 48GB VRAM • Thunder Compute | Not Available | — | ||
RTX A6000 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 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
Spin up a dedicated cloud GPU in seconds.
Customize vCPUs, RAM, and storage.
Supports 7-10 Gbps networking speeds.
Integrated VS Code extension for easier development.
Ability to take snapshots for later use.
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
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 an account on the Thunder Compute platform.
Select a pre-built template for your AI workflow.
Adjust the vCPUs, RAM, and storage as necessary.
Start your GPU instance with a single click.
Use the VS Code extension to access your persistent environment.
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
Available in the US and possibly other regions.
24/7 support via email and chat.