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Compare GPU and LLM inference API pricing between Cudo Compute and Hyperstack. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.13/hour between comparable GPUs
| GPU Model ↑ | Cudo Compute Price | Hyperstack Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Cudo ComputeHyperstack | ↑+$0.15(+11.1%) | |||
A100 PCIE 40GB VRAM • $1.50/hour Updated: 7/16/2026 $1.35/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$0.15(+11.1%) | ||||
A100 SXM 80GB VRAM • Hyperstack | Not Available | 2x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Hyperstack | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 NVL 94GB VRAM • Hyperstack | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • Hyperstack | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeHyperstack | 2x GPU | ↓$0.11(5.8%) | ||
H100 SXM 80GB VRAM • $1.79/hour Updated: 7/16/2026 ★Best Price $1.90/hour 2x GPU configuration Updated: 7/8/2026 Price Difference:↓$0.11(5.8%) | ||||
H200 141GB VRAM • Hyperstack | Not Available | — | ||
H200 141GB VRAM • | ||||
L40 40GB VRAM • Hyperstack | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB 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 | 2x GPU | — | |
RTX PRO 6000 96GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo ComputeHyperstack | ↑+$0.15(+11.1%) | |||
A100 PCIE 40GB VRAM • $1.50/hour Updated: 7/16/2026 $1.35/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$0.15(+11.1%) | ||||
A100 SXM 80GB VRAM • Hyperstack | Not Available | 2x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Hyperstack | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 NVL 94GB VRAM • Hyperstack | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • Hyperstack | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeHyperstack | 2x GPU | ↓$0.11(5.8%) | ||
H100 SXM 80GB VRAM • $1.79/hour Updated: 7/16/2026 ★Best Price $1.90/hour 2x GPU configuration Updated: 7/8/2026 Price Difference:↓$0.11(5.8%) | ||||
H200 141GB VRAM • Hyperstack | Not Available | — | ||
H200 141GB VRAM • | ||||
L40 40GB VRAM • Hyperstack | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB 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 | 2x GPU | — | |
RTX PRO 6000 96GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
On-demand and reserved GPU capacity with latest NVIDIA models including H200, H100, A100 80 GB, L40S, and legacy options like V100 and A40
Deploy VMs, dedicated bare metal, or multi-node GPU clusters for training and inference
Marketplace view with locations in the UK, US, Nordics, and Africa plus renewable energy indicators
REST API and documented workflows for provisioning, scaling, and lifecycle automation
Supports sovereignty requirements with regional choice, private networking, and support for reserved capacity
Design and manage GPU facilities powered by NVIDIA GB300 NVL72, B300 and GB200 systems for production-ready AI infrastructure
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
On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.
CPU and GPU-backed VMs for general workloads and AI inference.
Dedicated servers and multi-node GPU clusters for high-performance training and rendering.
Range of NVIDIA GPU options for various workloads with flexible pricing
Configure per‑GPU CPU/RAM with transparent published pricing.
Hourly per-GPU pricing with published rates by data center and GPU model
Commitment-based discounts across multiple term lengths for predictable spend and guaranteed supply
Dedicated hardware and multi-node clusters priced per reservation with private networking options
Sign up and log into the Cudo Compute console.
Pick a location such as Manchester, Stockholm, Kristiansand, Lagos, or US regions to meet latency and sovereignty needs.
Pick your GPU model (e.g., H100, A100 80 GB, L40S, A800, V100) and configure vCPUs, RAM, and storage.
Deploy a single VM, bare-metal server, or scale out with clusters from the console or API.
Attach networking, reserve IPv4, and monitor usage through the dashboard or API endpoints.
Sign up for Hyperstack cloud services
Select from pre-configured flavors or create custom ones
Launch GPU instances with 1-click deployment
Global infrastructure across UK, EU, North America, APAC, and Middle East with ISO 27001-certified facilities and sovereign data residency options
Documentation, tutorials, and API reference; sales and support contacts with phone booking plus community channels like Discord.
Data centers in Europe and North America
Human support team, documentation, and developer resources