AI Cloud.Engineered Beyond Compute.
From dedicated GPU infrastructure to AI model operations and autonomous agents, Thaki Cloud brings together the technology to build and run AI—delivered as cloud services or deployed in your own environment.
The AI Cloud. And the Platforms Behind It.
Choose cloud services operated for your teams, or software platforms deployed within your own environment.
Cloud Services
Dedicated GPU infrastructure, an integrated AI cloud and an enterprise agent service, so your teams can focus on the work that runs on them.
Which Cloud Service Fits?
Three services, three starting points. Each page explains what it is and when to choose it.
Compute plus AI operations
GPU capacity connected to the platform used to run models and workloads.
Explore TeloxEnterprise agents as a cloud service
Autonomous agent workflows with model and skill routing and governance.
Explore Paxis CloudStart With the AI You Need to Run.
Five common starting points and where each usually leads. The right combination depends on your requirements, and we scope it with you.
Dedicated bare-metal GPU infrastructure with a cloud-style operating model, configured around your workload.
Starting points, not fixed bundles.
Tell us where you areThe Technology Behind Every AI Workload.
Thaki Cloud develops the cloud, model and agent software above the accelerator. Use the layers your workload needs; they are designed to work together.
More Than GPU Capacity.
A NeoCloud is more than racks of GPUs. Thaki Cloud engineers the infrastructure and the AI software that runs on it together.
Infrastructure with purpose
GPU capacity connected to the way AI is actually trained, served and operated, not capacity in isolation.
Software built across the stack
Cloud, model operations and agent platform software developed by Thaki Cloud, so the layers are designed with one another in mind.
A delivery model that fits
Use it as a cloud service, deploy it in your own environment, or combine both as your requirements evolve.
Built for Teams That Run AI in Production.
AI and platform engineering teams
Dedicated GPU capacity and an integrated AI environment for training and serving models.
VeloxTeloxAI service operators and IDCs
Turn GPU infrastructure into a cloud-style service with tenancy, containers and unified control.
AegisCapsisSignumRegulated enterprises
Models and agents that run inside your own infrastructure and policy boundaries.
PaxisMetisAegisEnterprise business and IT teams
Autonomous agents that work across business systems, with governance designed in.
Paxis CloudPaxisTell Us What You're Building.
Share your workload, infrastructure requirements and AI goals. We'll help you explore the right starting point.
Contact Us