Cost effective virtual machines for your workloads

Select from range of high performance and cost effective GPUs that fit all your needs. Perfect for AI and workloads.

Affordable pricing for your virtualised infrastructure

Top of the range GPUs for affordable pricing, deploy with up to 8 cards per virtual machine.

GPU model	On-demand cost	1 month	3 months	6 months
H100 80GB HBM2e (2 TB/s bandwidth)	from $2.79/hr	from $2.511/hr Save $200.88	from $2.3715/hr Save $914.00	from $2.0925/hr Save $3,029.94	More info Deploy
H200 141GB HBM3e (4.8 TB/s bandwidth)	from $2.49/hr	-	-	-	More info Enquire
A100 80GB HBM2e (1.9 TB/s bandwidth)	from $1.67/hr	-	-	-	More info Enquire
L40S 48GB GDDR6 (864 GB/s bandwidth)	from $1.36/hr	-	-	-	More info Enquire
RTX A6000 48GB GDDR6 (768 GB/s bandwidth)	from $0.45/hr	from $0.405/hr Save $32.40	from $0.3825/hr Save $147.42	from $0.3375/hr Save $488.70	More info Deploy
A40 48GB GDDR6 (696 GB/s bandwidth)	from $0.39/hr	-	-	-	More info Deploy
V100 16GB HBM2 (900 GB/s bandwidth)	from $0.39/hr	-	-	-	More info Deploy
RTX A5000 24GB GDDR6 (768 GB/s bandwidth)	from $0.35/hr	from $0.315/hr Save $25.20	from $0.2975/hr Save $114.66	from $0.2625/hr Save $380.10	More info Deploy
RTX A4000 16GB GDDR6 (448 GB/s bandwidth)	from $0.29/hr	-	-	-	More info Enquire
B100 192GB HBM3e (up to 8 TB/s bandwidth)	POA	-	-	-	More info Enquire
MI250/300 128GB HBM2e (3.2 TB/s bandwidth)	POA	-	-	-	More info Enquire

Resource	On-demand cost	1 month	3 months	1 year
vCPUs	from $0.0021/hr	from $0.00189/hr Save $0.15	from $0.001785/hr Save $0.69	from $0.0027/hr Save $0.00
Memory (GB)	from $0.0013/hr	from $0.0036/hr Save $0.65	from $0.0027/hr Save $1.97	from $0.0036/hr Save $7.88
Storage (GB)	from $0.000077/hr	-	-	-
IPv4 addresses	from $0.00167/hr	-	-	-
Private networks	from $0.00295/hr	-	-	-

Virtualisation is perfect for a wide range of workloads

Deploying AI based workloads on CUDO Compute is easy and cost-effective. Follow our AI related tutorials.

Deploying LLM’s like Google Gemma

In this tutorial we will run Google Gemma with Ollama so that you can send queries via a Rest API

Read tutorial

Deploy PyTorch

With CUDO Compute you can deploy PyTorch docker containers to the latest NVIDIA Ampere Architecture GPUs.

Read tutorial

Effortlessly manage your infrastructure

Automatically provision GPU resources, monitor performance and optimise costs.

Realtime monitoring

Gain real-time insights into your GPU usage and resource allocation, allowing you to optimise your AI workflows. Track key performance indicators, identify bottlenecks and proactively manage your resources for maximum efficiency.

Global network

Access a geographically distributed network of high-performance GPUs in multiple regions. Leverage our extensive global infrastructure to model training and inference anywhere in the world.

Cost management

Commitment pricing

Save up to 50% on GPU costs by committing to a fixed term. Our commitment pricing plans offer significant savings, ideal for long-term projects and workloads.

Deploy virtual machines the way you want

Deploy virtual machines quickly through our dashboard, CLI tool or APIs.