DeepSeek V3.1 Cloud
Hybrid reasoning, tools, and long-context technical work without local 671B-class hardware.
Product brief ->We help you choose the right private AI models, fully size the server, and provide the exact deployment path — one Terminal.Glass instance per computer or cloud server, one installation script, complete guided deployment instructions.
😎 One server license. One script. One complete Terminal.Glass instance.
Tell us which models, users, agents, and workloads you need. We translate those requirements into a complete server specification and deployment path — and remove the CPU, memory, storage, GPU, operating-system, and cloud-instance guesswork.
Choose from 240 documented AI model families and more than 44,000 documented deployment sizes, including more than 100 Meta AI model options.
Terminal.Glass matches model families and deployment sizes to your use case, specifies CPU, RAM, storage, GPU, and the correct AWS or DigitalOcean instance — then provides one installation script.
😎 Private AI with no more guesswork.
Every Terminal.Glass instance includes the Happy Nerds Menu. Every server instance includes built-in DokuWiki so teams can maintain private documentation alongside their AI instance.
Every Sunrise account includes two server licenses, so you can begin with two private AI server instances without purchasing a second starter account. Add server licenses to a Sunrise account for $99 each.
Includes 2 Glass Licenses for small businesses and first deployments — private AI on your server or in your cloud.
Includes 6 Glass Licenses for teams and multi-location businesses — expand with additional licenses for $99 each.
Glass Agents powered by OpenClaw work through approved tools and workflows. Jet Agents use Ollama-powered CPU or GPU compute to run the private AI models selected for the workload.
OpenClaw-powered agents operating through customer-approved tools and workflows inside the Terminal.Glass environment.
Ollama-powered CPU or GPU compute agents that run selected private AI models on hardware you approve within your deployment.
Terminal.Glass helps you choose model families and sizes that fit your server and workload — not merely a large model count, but guided selection with documented deployment sizes.
Hybrid reasoning, tools, and long-context technical work without local 671B-class hardware.
Product brief ->Efficient reasoning and agent performance as a Jet Agent model lane.
Product brief ->Flagship cloud reasoning and agentic workloads for customer-approved workflows.
Product brief ->General-purpose thinking, tools, coding, and business workflows.
Product brief ->Multimodal and general-purpose Jet Agent model lane.
Product brief ->Long-horizon coding, design, and autonomous execution model lane.
Product brief ->Run Terminal.Glass on an Ubuntu Linux 24/26 virtual machine or standalone server, a customer-owned AWS instance, or DigitalOcean — with Google Cloud Platform and Microsoft Azure support coming soon.
Run Terminal.Glass on an Ubuntu Linux 24/26 virtual machine or standalone server you control — completely private when inference stays on your hardware.
Customer-owned cloud accounts with Terminal.Glass recommending the appropriate instance, matched to selected models and workloads, with one-script deployment.
You create the recommended server, run one installation script, and receive one complete Terminal.Glass instance. Deployment documentation and available support options are provided with your account.