GPU Cloud Provider · Unknown
Thunder Compute
Thunder Compute provides cost-effective, on-demand GPU instances tailored towards AI/ML workloads. It offers a developer-friendly environment with rapid deployment and flexible hardware configurations, emphasizing a smooth user experience through features like persistent storage and VS Code integration.
GPUs
1
Founded
Unknown
Countries
1
Data Centers
1
Team Size
1-10
GPU Marketplace
NVIDIA A100 80GB SXMOn-Demand
Company Profile
Company TypeStartup
Provider TypeCloud Provider
FundingSeed
Team Size1-10
Infrastructure
GPU FleetNVIDIA A100 80GB, NVIDIA A10G, NVIDIA T4
Network FabricDynamic IP, 7 Gbps Egress/Ingress
Connectivity7-10 Gbps
StoragePersistent storage with snapshots
Bare MetalNo
AvailabilityAvailable
StartupResearchHobbyistEnterprise
Compute & Deployment
On-DemandYes
GPU Hardware
Latest GenH100 SXM, H100 PCIe
Legacy SupportA100, L4
Multi-GPU NodesYes (up to 8x per node)
Max GPUs/Node8
NVLinkYes (NVLink on SXM nodes)
PCIe vs SXMBoth PCIe and SXM
Pricing Model
Per HourYes (primary billing unit)
Spot DiscountNo spot pricing
Public PricingYes
Hidden FeesNone disclosed
Pay-as-you-goYes
Performance & Scaling
Developer Experience
OnboardingDeploy in minutes via CLI or web UI; Python SDK enables programmatic GPU provisioning
FrameworksPyTorch, CUDA
SDK LanguagesPython
CLI ToolingCLI with SSH tunneling and instance management
JupyterVia SSH port forwarding
DocumentationBasic to moderate documentation with getting-started guides and SDK reference
API FeaturesCLI port manipulation tools, RESTful API for instance management
Security & Compliance
SecurityAutomatic HTTPS,DDoS protection
ComplianceAutomatic HTTPS, DDoS protection
Data Center Locations
Coverage
CountriesUnited States
CitiesNot disclosed
North America
Compliance Regions
EU Data ResidencyNo EU presence
US Gov CloudNo
India RegionNo
Datacenter Locations
Key Strengths
Developer-first Python SDK for programmatic GPU access
Simple CLI-based workflow with minimal setup
Competitive pricing targeting startups and individual developers
Fast instance spin-up times
Known Limitations
Very early-stage company with limited track record
Limited GPU model selection compared to larger providers
No published SLAs or uptime guarantees
Limited regional availability
Small team may affect support responsiveness
No enterprise features like VPC, private networking, or compliance certifications
Additional Information
Support Options
["Integrated developer tools via VS Code","CLI for port forwarding and tunneling","Comprehensive documentation"]
Core Proposition
Thunder Compute offers on-demand GPU cloud access with fast provisioning and simple pricing, targeting developers and researchers who need scalable GPU resources without long-term commitments.
Payment Methods
Credit Card
Last updated March 2026. Information subject to change.