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Compare GPU and LLM inference API pricing between Fluidstack and Hyperstack. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Fluidstack Price | Hyperstack Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Hyperstack | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Hyperstack | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
L40 40GB VRAM • Hyperstack | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX A4000 16GB VRAM • Hyperstack | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A6000 48GB VRAM • Hyperstack | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Hyperstack | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • Hyperstack | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Hyperstack | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
L40 40GB VRAM • Hyperstack | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX A4000 16GB VRAM • Hyperstack | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A6000 48GB VRAM • Hyperstack | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Hyperstack | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Fluidstack with another leading provider
Compare Fluidstack with another leading provider
Compare Fluidstack with another leading provider
Compare Fluidstack with another leading provider
Compare Fluidstack with another leading provider
Compare Fluidstack with another leading provider
Bare-metal OS for AI infrastructure with fast provisioning, smooth orchestration, and total ownership
Monitoring and optimization system that catches problems before they impact workloads
Fully isolated infrastructure at hardware, network, and storage levels with no shared clusters
Direct engineering support with 15-minute response SLA and secure access controls
No egress or ingress fees, with on-node NVMe storage included
Clusters tested to deliver 95%+ of theoretical performance from day one
Automated software deployment, scaling and management
Optimized templates for GPU-accelerated workloads with custom flavor options
Purpose-built API designed specifically for GPU cloud operations
Network architecture optimized for maximum GPU efficiency
Multiple storage options including NVMe, HDD block, and HDD Shared storage
Dedicated, high-performance GPU clusters that are fully isolated, fully managed, and always available.
Range of NVIDIA GPU options for various workloads with flexible pricing
Configure per‑GPU CPU/RAM with transparent published pricing.
Designed for large-scale training and inference, deployed on fully managed cloud infrastructure. 256-10,000+ GPUs with monthly or annual terms and discounted rates.
Launch GPU instances in under 5 minutes and seamlessly scale to 100s of GPUs on-demand. 8-4,000+ GPUs with hourly billing.
Custom dedicated clusters for complex needs with flexible terms and region-specific deployments.
Talk to a Fluidstack expert to discuss your specific AI infrastructure needs
Get custom pricing for your GPU cluster requirements
Launch your dedicated GPU cluster with fully managed support
Sign up for Hyperstack cloud services
Select from pre-configured flavors or create custom ones
Launch GPU instances with 1-click deployment
Data centers in Europe and North America
Human support team, documentation, and developer resources