Hyperstack is under the market median on 8 of its 12 GPUs today.
Hyperstack offers on-demand, reserved and spot NVIDIA GPU VMs (B300, B200, H200, H100, A100, L40 and more) billed per minute, plus AI Studio for token-billed inference and fine-tuning.
At a glance · prices collected Nov 8, 2026
What's good about Hyperstack
- Up to 75% more cost-effective than major cloud providers
- GPU-optimized ecosystem for maximum performance efficiency
- Easy-to-use platform with 1-click deployments
- 100% renewable energy powered infrastructure
- NVIDIA Cloud Partner
- Enterprise-grade features and support
- Role-based access control
- Per-minute billing with free ingress/egress traffic
- Free master node for on-demand Kubernetes
Hyperstack GPU prices
12 GPU models across 28 configurations. Rank compares Hyperstack's cheapest on-demand listing for each GPU with every provider's cheapest.
| GPU | Hyperstack | -60%median+100% | Rank | vs. median | Report |
|---|---|---|---|---|---|
| H100 SXM 1× | $3.20/hr | #28 of 57 providers | at median | ||
| A100 SXM 1× | $1.60/hr | #23 of 43 providers | +1% | ||
| H200 1× | $3.99/hr | #12 of 43 providers | -12% | ||
| RTX PRO 6000 1× | $1.85/hr | #15 of 41 providers | -14% | ||
| B200 1× | $6.00/hr | #9 of 33 providers | -20% | ||
| HGX B300 1× | $7.40/hr | #11 of 31 providers | -13% | ||
| RTX A6000 1× | $0.50/hr | #9 of 26 providers | -9% | ||
| L40 1× | $1.00/hr | #15 of 19 providers | +14% | ||
| A100 PCIe 80GB 1× | $1.35/hr | #4 of 16 providers | -8% | ||
| RTX A4000 1× | $0.15/hr | #6 of 16 providers | -10% | ||
| H100 PCIe 1× | $2.50/hr | #5 of 14 providers | -4% | ||
| H100 NVL 1× | $2.60/hr | #4 of 7 providers | at median |
What a run costs on Hyperstack
24 hours at today's cheapest listing for each GPU, at the size it is listed.
1× H100 SXM for 24 hours
At $3.20/GPU-hr
$76.80
Same as at the market median rate
1× A100 SXM for 24 hours
At $1.60/GPU-hr
$38.40
$0.24 over the market median rate
1× H200 for 24 hours
At $3.99/GPU-hr
$95.76
$13.19 under the market median rate
The market median is every provider's cheapest on-demand price for that GPU.
Hyperstack LLM API prices
Pay-per-token pricing, per 1M tokens.
Prices last updated November 8, 2026
| Model | Input/1M | Output/1M |
|---|---|---|
| $0.100 | $0.400 | |
| $0.200 | $0.200 | |
| $0.400 | $0.400 |
Hyperstack pricing by model
Input, output, and batch rates, plus alternatives, for one model at a time.
Billing & terms
- On-Demand
- Per-GPU hourly rates billed per minute, with no commitment
- Reservation
- Discounted rates versus on-demand for reserved capacity; longer-term contracts via sales
- Spot VMs
- Lower-cost interruptible VMs on selected GPUs
- AI Studio
- Token-based inference pricing per 1M input/output tokens, and per-minute fine-tuning
- Regions
- Data centers in Europe and North America
- Support
- Human support team, documentation, and developer resources
Watch out for
- Limited global presence (primarily Europe and North America)
- Niche market focus on GPU workloads
- Less established compared to major cloud providers
Features
- Managed Kubernetes
- Automated software deployment, scaling and management
- Pre-Configured Flavours
- Optimized templates for GPU-accelerated workloads with custom flavor options
- First Class API
- Purpose-built API designed specifically for GPU cloud operations
- Optimised Networking
- Network architecture optimized for maximum GPU efficiency
- Premium Storage
- Multiple storage options including NVMe, HDD block, and HDD Shared storage
- AI Studio
- OpenAI-compatible inference on a catalog of text and image models, with playgrounds, knowledge bases and fine-tuning
- Spot VMs
- Lower-cost interruptible VMs on selected GPUs
- Object Storage
- Object storage alongside volumes and NVMe root disks
Services
GPU Instances
Range of NVIDIA GPU options for various workloads with flexible pricing
On‑Demand GPU
Configure per‑GPU CPU/RAM with transparent published pricing.
Getting started
Step 1
Register Account
Sign up for Hyperstack cloud services
Step 2
Choose Configuration
Select from pre-configured flavors or create custom ones
Step 3
Deploy Resources
Launch GPU instances with 1-click deployment
Where this page's facts come from
- GPU prices
- Hyperstack (hyperstack.cloud) · last collected Nov 8, 2026
- LLM API prices
- hyperstack.cloud · last collected Nov 8, 2026
- Profile
- Reviewed Mar 14, 2026
- Method
- How we collect and check prices
Frequently Asked Questions
What GPU types does Hyperstack offer?
Hyperstack offers various GPU types including RTX A6000, RTX A6000, RTX A6000, A100 SXM, A100 SXM, H100 SXM, H100 SXM, H200, H200, A100 PCIe 80GB, A100 PCIe 80GB, A100 PCIe 80GB, H100 NVL, H100 NVL, L40, L40, L40, HGX B300, RTX A4000, RTX A4000, H100 PCIe, H100 PCIe, H100 PCIe, B200, B200, RTX PRO 6000, RTX PRO 6000, RTX PRO 6000. Check the pricing table above for current availability and pricing.
How do I get started with Hyperstack?
Register Account, Choose Configuration, Deploy Resources
What are Hyperstack's main advantages?
Hyperstack's main advantages include: Up to 75% more cost-effective than major cloud providers, GPU-optimized ecosystem for maximum performance efficiency, Easy-to-use platform with 1-click deployments, 100% renewable energy powered infrastructure, NVIDIA Cloud Partner, Enterprise-grade features and support, Role-based access control, Per-minute billing with free ingress/egress traffic, Free master node for on-demand Kubernetes.
What are Hyperstack's limitations?
Hyperstack's main limitations include: Limited global presence (primarily Europe and North America), Niche market focus on GPU workloads, Less established compared to major cloud providers.
Compare Providers
Find the best prices for the same GPUs and models from other providers · All Hyperstack alternatives, ranked →
All Hyperstack Comparisons
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