hyperstack GPU Cloud Provider
Hyperstack offers scalable GPU instances tailored for AI and deep learning workloads, featuring high-performance NVIDIA GPUs and flexible deployment options with no long-term commitments.
Provider Overview
| Name | hyperstack |
| Total Instances | 7 |
| Minimum Price | $0.50/hr |
| Maximum VRAM | 80 GB |
| Available GPU Models |
Hyperstack offers scalable GPU instances tailored for AI and deep learning workloads, featuring high-performance NVIDIA GPUs and flexible deployment options with no long-term commitments.
Get Started with hyperstack
Ready to rent GPUs from hyperstack? Sign up now to explore available instances and start your AI workloads.
Visit Provider Website →About the Provider
Available Instances
| Accelerator | Price/Hour | VRAM | Type | Action |
|---|---|---|---|---|
| H100 SXM | $3.00 | 80 GB | Hopper | View GPU → |
| H100 PCIe NVLink | $1.95 | 80 GB | Hopper | View GPU → |
| H100 PCIe | $1.90 | 80 GB | Hopper | View GPU → |
| A100 PCIe NVLink | $1.40 | 80 GB | Ampere | View GPU → |
| A100 PCIe | $1.35 | 80 GB | Ampere | View GPU → |
| L40 | $1.00 | 48 GB | Ada Lovelace | View GPU → |
| RTX A6000 | $0.50 | 48 GB | Ampere | View GPU → |
Available GPUs
Explore GPU specifications and compare pricing for hyperstack
Compare with Other Providers
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Related Resources
Compute Capability
Check CUDA compute capability and AI feature support for different GPUs
View Reference →About hyperstack GPU Cloud
GPUvec currently tracks 7 hyperstack instance configurations across 7 GPU models. The lowest observed rate in the dataset is $0.50/hour; the final price can vary by region, GPU count, host configuration, and billing terms.
The recorded catalog includes A100 PCIe, A100 PCIe NVLink, H100 PCIe, H100 PCIe NVLink, H100 SXM. GPUvec has location data for 1 region: uk.
When evaluating hyperstack, compare memory capacity, accelerator generation, hourly rate, regional availability, billing granularity, storage, and network requirements. Framework support also depends on the selected image and driver stack, so verify CUDA and container versions before migration.
Use GPUvec's provider directory and GPU comparison tool to compare hyperstack with alternatives on the same accelerator model. A like-for-like comparison avoids misleading conclusions caused by different GPU counts, CPUs, RAM allocations, or commitment terms.
External Resources
Learn more about GPUs from these authoritative sources:
Official CUDA programming guide
NVIDIA GPU Specifications →Official NVIDIA GPU specs
TechPowerUp GPU Database →Comprehensive GPU specifications
CUDA Compute Capability Guide →GPU compute capability reference
Ready to Get Started?
Visit hyperstack's website to create an account and start using their GPU instances.
Visit hyperstack →What You Need to Know About hyperstack
Complete Overview of hyperstack GPU Cloud Services and Pricing
Get detailed information about hyperstack's GPU cloud offerings, including available GPU models like RTX 4090, H100, A100, and L40S instances. Compare pricing structures, regional availability, and unique features that distinguish hyperstack from other providers. Whether you need per-second billing, reserved instances, or spot pricing, understanding each provider's model helps you optimize your GPU spending.
Pricing per Hour for hyperstack GPU Instances
Review the pricing structure for hyperstack's GPU instances and compare hourly rates across different GPU models. GPUvec provides transparent pricing data so you can evaluate whether hyperstack offers competitive rates for your AI training, inference, or rendering workloads compared to alternatives like RunPod, Vast.ai, or Lambda Labs.
How hyperstack Compares to Other GPU Cloud Providers
See how hyperstack stacks up against other GPU cloud providers in terms of pricing, GPU availability, geographic coverage, and unique features. Our detailed comparison helps you choose the best provider for your specific needs, whether you prioritize the lowest price per hour for RTX 4090 instances or the most reliable H100 availability for production workloads.