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Compare GPU and LLM inference API pricing between Cudo Compute and Sesterce. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Cudo Compute Price | Sesterce Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Sesterce | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Sesterce | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A16 64GB VRAM • Sesterce | Not Available | — | ||
A16 64GB VRAM • | ||||
A30 24GB VRAM • Sesterce | Not Available | — | ||
A30 24GB VRAM • | ||||
A40 48GB VRAM • Sesterce | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • Sesterce | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
Gaudi 2 96GB VRAM • Sesterce | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • | ||||
GH200 96GB VRAM • Sesterce | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 NVL 94GB VRAM • Sesterce | Not Available | 2x GPU | — | |
H100 NVL 94GB VRAM • | ||||
H100 SXM 80GB VRAM • Sesterce | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Sesterce | Not Available | 4x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Sesterce | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Sesterce | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Sesterce | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Sesterce | Not Available | 8x GPU | — | |
L40S 48GB VRAM • | ||||
A10 24GB VRAM • Sesterce | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Sesterce | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A16 64GB VRAM • Sesterce | Not Available | — | ||
A16 64GB VRAM • | ||||
A30 24GB VRAM • Sesterce | Not Available | — | ||
A30 24GB VRAM • | ||||
A40 48GB VRAM • Sesterce | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • Sesterce | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
Gaudi 2 96GB VRAM • Sesterce | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • | ||||
GH200 96GB VRAM • Sesterce | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 NVL 94GB VRAM • Sesterce | Not Available | 2x GPU | — | |
H100 NVL 94GB VRAM • | ||||
H100 SXM 80GB VRAM • Sesterce | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Sesterce | Not Available | 4x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Sesterce | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Sesterce | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Sesterce | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Sesterce | Not Available | 8x GPU | — | |
L40S 48GB 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
Datacenters powered by renewable energy across Europe, reducing environmental impact of AI systems
Choose from VM, container, or bare-metal deployment options based on your workload requirements
Bare metal dedicated cluster solutions available within 2 hours with HPC job management
Full-stack AI platform covering training, inference, and data preparation workflows
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.
Virtualized GPU instances with flexible configurations and secure SSH access
Dedicated GPU clusters for maximum performance and control
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
Flexible pricing starting at $0.30 per hour with payment based solely on usage
Pre-funded account balance system for streamlined resource management
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 Sesterce Cloud platform access
Fund your account with credits for pay-as-you-go billing
Choose your GPU type and configuration, launch in just a few clicks
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.
Multiple regions across Europe with focus on renewable energy datacenters
Documentation available, self-service console, REST API