Qoddi
Push, Deploy, Scale — we'll do the rest·qoddi.com
Qoddi is a fully managed cloud application hosting platform that lets developers deploy, manage, and scale apps built in Node.js, Python, Go, Java, Ruby, and PHP directly from a Git push. It provides free SSL, unlimited team collaboration, autoscaling with load balancing, unlimited bandwidth, and support for Docker containers and GPU-accelerated workloads. The platform positions itself as an alternative to Heroku and to running your own AWS/Kubernetes infrastructure.
What it's for
Features 19
- Autoscaling up to 100 app clones behind a load balancer
- Compatibility with most Heroku buildpacks
- Custom domain support
- Daily backups
- DDOS protection
- Dedicated 2x10Gbps network on higher tiers
- Docker container support
- Free load balancing and autoscaling
- Free SSL certificates
- Git push deployment
- GPU app support for AI/LLM workloads
- Isolated datastores
- Per-second billing
- Preview environments generated after Git push
- Priority support with dedicated agents on higher tiers
- Support for Node.js, Java, Go, Ruby, PHP, and Python runtimes
- Unlimited bandwidth
- Unlimited build minutes
- Unlimited team members at no additional cost
At a glance
Integrations
Complianceself-reported
Resources
Pricing
All apps are billed per second; the monthly prices shown are estimates based on a 31-day month of continuous use and act as a price cap — the total billed price will never exceed the monthly price displayed. GPU-XL is described as monthly billing only. A credit card is required even to create free apps, for account verification.
Static websites only, Unlimited Team Members, 512MB RAM, Shared CPU, Git to Deploy, Unlimited Bandwidth
3 free static sites for everyone, then $3/month/app
Everything in Dev plus, 1GB RAM, 1 vCPU, Isolated Datastores, Docker Containers, Preview Environments, Daily Backups, Custom Domains, Free SSL Certificates, Free Load Balancing and Autoscaling, DDOS Protection, Unlimited Bandwidth, 99% SLA
A small production app with scaling features
Everything in XS plus, 2GB RAM, 1 vCPU, SOC2/HIPAA Compliant
More power for web-apps and datastores
Everything in S plus, 4GB RAM, 2 vCPUs, Dedicated Resources, 99.9% SLA
More RAM and CPU for high workloads
Everything in M plus, 8GB RAM, 4 vCPUs, 2x10Gbps Network, Priority Support
High performance with optimized network
Everything in L plus, 16GB RAM, 8 vCPUs
Biggest size for intensive tasks
1/4 of Nvidia A10 GPU, CUDA accelerator-optimized machine, 6GB GDDR6 GPU memory, 50GB RAM, 8 vCPUs, Per Second billing, 2X 10Gbps unmetered Bandwidth, 99.99% SLA
Entry level offer to start working with AI and LLMs
Dedicated Nvidia A10 GPU, CUDA accelerator-optimized machine, 24GB GDDR6 GPU memory, 200GB RAM, 30 vCPUs, Per Second billing, 2X 10Gbps unmetered Bandwidth, 99.99% SLA
Dedicated A10 GPU
1/4 of Nvidia A100 SXM GPU, CUDA accelerator-optimized machine, 10GB GDDR6 GPU memory, 50GB RAM, 8 vCPUs, Per Second billing, 2X 10Gbps unmetered Bandwidth, 99.99% SLA
Access huge compute power at a fraction of the price
Dedicated Nvidia A100 SXM GPU, CUDA accelerator-optimized machine, 40GB HBM2 GPU memory, 200GB RAM, 30 vCPUs, Per Second billing, 2X 10Gbps unmetered Bandwidth, Dedicated builders, Add CPU apps on the same project, with dedicated hardware, 99.99% SLA
Dedicated usage of a GPU in a full containerized environment
Dedicated Nvidia H100 SXM GPU, CUDA accelerator-optimized machine, 80GB GPU memory, 200GB RAM, 26 vCPUs, Per Second billing, 2X 10Gbps unmetered Bandwidth, Dedicated builders, Add CPU apps on the same project, with dedicated hardware, 99.99% SLA
Dedicated Nvidia H100 SXM GPU
Dedicated Nvidia DGX B200 Blackwell GPU, CUDA accelerator-optimized machine, 180GB GPU memory, 375GB RAM, 24 vCPUs, 3X 100Gbps unmetered Bandwidth, Dedicated builders, Add CPU apps on the same project, with dedicated hardware, 99.9999% SLA
The new Blackwell Nvidia B200