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Compare GPU and LLM inference API pricing between Cudo Compute and Lambda Labs. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Cudo Compute Price | Lambda Labs Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Lambda Labs | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
A10 24GB VRAM • Lambda Labs | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
Tesla V100 32GB 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
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.
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.
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.