Products and deploy packages
AI packages for beginners, teams, and private infrastructure.
CypherPower turns AI into usable workflows for people who do not want to become programmers first: personal agents, team agents, vibe-coding setups, website maintenance, cloud/private model deployment, onsite support, and private AI servers.
Beginner-friendly deploy packages
Start with one useful AI workflow.
These packages are for people, schools, institutions, companies, and small teams that want AI to fit how they already work.
AI Agent Individual Deploy
$399
Personal AI agent setup for a programming beginner, founder, student, creator, or solo operator.
- Email, calendar, document, notes, browser, and task workflows
- Personal workspace, prompt templates, and beginner onboarding
AI Agent for Team Deploy (5 users)
$999 / 5 users
Shared AI agent workspace for five programming beginners or non-technical team members.
- Up to 5 user workflow profiles
- Email, calendar, documents, prompts, knowledge base, and review rules
Multiple AI Agent Deploy
Custom pricing
Multi-agent deployment for teams that need specialized agents across several workflows.
- Sales, support, admin, research, scheduling, reporting, or operations agents
- Scoped by users, tools, permissions, data boundaries, training, and maintenance
Vibe Coding Deploy
$1,999.99
AI-assisted coding environment for beginners who want to build, modify, and ship small tools.
- Editor, GitHub, deployment path, and project structure
- Beginner playbook for prompting, reviewing, testing, and shipping
AI Agent Website Maintain Deploy
$399 deploy
$599.99/mo. maintenance
Website update and maintenance workflow for small businesses that need AI-assisted upkeep.
- Content draft, image, SEO, update, and publish workflow
- Maintenance queue and review process after deploy
Onsite Deploy
$450 / hour
Travel expenses billed at actual cost
Onsite AI deployment, integration, training, troubleshooting, and handoff support.
- Agent, local AI, cloud AI, or integration deployment help
- Quantity represents estimated onsite billable hours
Private model deployment
Deploy AI in the cloud or on hardware you control.
Private AI Model Deploy (AWS)
$1,999.99
Cloud architecture service; no physical hardware is included.
Cloud deployment for a private AI model endpoint, internal assistant, or controlled agent workflow on AWS.
- Private endpoint, access control, and logging path
- Cloud usage, model license, and storage billed separately
Private AI Model AI Deploy (Local Hardware Server - Hardware not included)
$2,999.99
Deployment service for customer-provided hardware; hardware is not included.
Private AI deployment on a local hardware server you already own or purchase separately.
- Linux, driver, container, model runtime, and private chat setup
- Hardware, replacement parts, and licensing not included
Private AI hardware
Hardware-backed AI workstations and servers.
Hardware cards below are configuration targets. Final availability, chassis, power, cooling, warranty, freight, and deployment details are confirmed before fulfillment.
Private General AI Server - RTX 5090
$5,999.99
ChatGPT-4-equivalent target performance
High-speed single-user private AI workstation for chat, coding, retrieval, and document workflows.
- 1x RTX 5090, 32GB GDDR7 VRAM target
- 128GB system memory and 4TB NVMe target
Private General AI Server - DGX Spark
$5,999.99
ChatGPT-4-equivalent target performance
Compact private AI appliance for single-user or small-team private assistant usage.
- GB10 class system, 128GB unified memory target
- Small-team private AI workspace and handoff
Private Picture AI Server - RTX 5090
$5,999.99
Image AI workflow focus
Private image generation and visual workflow server for creators, schools, studios, and product teams.
- 1x RTX 5090, 32GB GDDR7 VRAM target
- Image model UI, queue, prompt library, and handoff
Private 8X RTX 5090 AI Server
$49,999.99
ChatGPT-4-equivalent target with higher concurrency
8X capacity target for parallel private AI workloads, multiple assistant sessions, and lab usage.
- 8x RTX 5090, 256GB aggregate GPU VRAM target
- Aggregate VRAM is not one unified 256GB model memory pool
Private Professional AI Server - Used A100 Server
$99,999
ChatGPT 5.4-style target experience
8x80GB A100-class private AI server for small-to-medium teams targeting top-tier private assistant workloads.
- 8x A100 80GB, 640GB GPU memory target
- Exact used server condition and warranty confirmed before fulfillment
Private Premium AI Server - B200 Server
$599,999.99
ChatGPT 5.5-style target experience
8x B200-class premium private AI server target for heavier workloads and stricter data control.
- 8x NVIDIA B200, 1,440GB aggregate HBM3e GPU memory target
- HGX B200 / NVLink-NVSwitch class architecture target
Plain-English performance guide
Choose by the user experience, not by hardware jargon.
These tiers give non-technical buyers an intuitive way to compare packages before reading GPU specs, deployment details, or model-serving terms.
Daily AI agent
ChatGPT-style assistant setupEmail, calendar, documents, notes, browser work, tasks, and beginner onboarding.
Individual / Team packagesVibe coding
AI coding partner for beginnersEditor, GitHub, project structure, testing flow, deployment path, and first app scaffold.
Vibe Coding DeployPrivate model deploy
AWS or local hardwarePrivate endpoint, controlled access, model runtime, retrieval, logging, and handoff.
Cloud / local deployPerformance tiers
RTX 5090ChatGPT-4-equivalent target, high-speed single user
DGX SparkChatGPT-4-equivalent target, single user or small team
8x RTX 5090ChatGPT-4-equivalent target with higher parallel capacity
Used A100 8x80GBChatGPT 5.4-style target, small-to-medium team
B200 8x180GBChatGPT 5.5-style target, heavier team workloads
The performance labels are intuitive target-experience references for comparison. Final capability depends on model choice, quantization, context length, workload, concurrency, data pipeline, and tuning.
Package intake
Tell us which package fits your first bottleneck.
We can tune the package around your users, data boundary, hardware, security requirements, and training needs.
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