Compute on hardware you already own

The private compute cloud
running on PCs you already own.

Up to 81% lower than equivalent AWS m5.large list pricing on our example workloads. Data stays on devices your organization owns. SOC 2 Type II audit in progress (target Q4 2026).

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81% Cost reduction vs AWS 16-CPU AI inference, AWS m6i.4xlarge vs Zyra
$0.08 Per device · hr Active time only — idle hours are free
15 min Setup to first job MSI installer or group policy — no DevOps needed

Compliance posture · audits in progress

Calculate Your Savings

See how much you can save by switching to Zyra.

50
Estimated Monthly Savings $2,000

vs. Standard Cloud Provider

How we calculate this: We assume traditional cloud costs of $0.42/hr for a 16-CPU instance (AWS m6i.4xlarge equivalent), $0.78/hr for GPU compute (g4dn.xlarge equivalent), and 730 hours/month of utilization. Zyra's $0.08/device/hour applies to active time only — idle time is free. Your actual savings depend on your workload mix and idle ratio. See full methodology →

Control Your Cloud

Powerful Management Dashboard

app.getzyra.io
Zyra Dashboard UI and Architecture

The Problem

Companies spend $100K+ annually on cloud compute while thousands of employee devices sit idle after hours. That's wasted hardware investment and unnecessary cloud costs.

The Solution

Zyra turns your existing employee computers into a secure private compute cloud. Run batch jobs, CI/CD pipelines, and data processing without cloud rental fees (you pay $0.08/device-hour for Zyra's scheduling & payments).

Features

Everything you need for
enterprise distributed computing

Purpose-built for security-conscious organizations that need compute power without cloud dependency.

No Cloud Rental Cost

Use the hardware your organization already owns. No cloud VMs to provision; you pay $0.08/device-hour for Zyra's scheduling + payments.

On-device Data Control

Data stays on the devices your organization controls. Suitable for organizations with data-residency obligations.

Security Controls

Sandboxed workloads, TLS 1.3 in transit, AES-256 at rest, RBAC v2, audit logs. SOC 2 Type II audit in progress (target Q4 2026).

IT-Admin Friendly

One-click agent deployment, Compute Node approval workflows, and a web dashboard - no DevOps expertise required.

Docker Compatible

Run any containerized workload. Compatible with existing CI/CD pipelines and development workflows.

Smart Scheduling

Intelligent job distribution based on Compute Node availability, capabilities, and organizational priorities.

How It Works

Get started in minutes,
not weeks

Simple setup for IT admins. No infrastructure changes required.

Your employee PCs become Compute Nodes. You deploy Virtual Servers (Docker containers) onto them via the Zyra dashboard.

1

Deploy Agents

Install the lightweight Zyra agent on employee devices. One-click deployment via MSI installer or group policy.

2

Approve Compute Nodes

IT admins review and approve Compute Node enrollments via the web portal. Set policies and access controls.

3

Submit Jobs

Use the web portal or API to submit compute jobs. Zyra distributes work across your private Compute Node pool.

Use Cases

Built for enterprise workloads

From CI/CD to data processing, Zyra handles your most demanding compute needs.

CI/CD Pipelines

Run tests and builds across your Compute Node pool. Reduce CI/CD queue times by parallelizing across hundreds of Compute Nodes.

  • Parallelize tests across hundreds of Compute Nodes
  • No cloud CI rental fees
  • Parallel build distribution

Data Processing

Process large datasets without moving data to the cloud. Ideal for ETL, data transformation, and analytics workloads.

  • Data stays on-premises
  • Parallel processing at scale
  • No egress charges

ML Inference

Deploy machine learning models across your edge devices. Low-latency inference without cloud round-trips.

  • Edge inference at scale
  • On-device inference — no cloud round-trip
  • Model deployment automation

Batch Jobs

Schedule overnight batch processing on idle devices. Maximize hardware utilization during off-peak hours.

  • Off-hours processing
  • Scheduled job execution
  • Resource optimization
Customer Stories

Built with early-access teams

Coming soon — talk to sales for early-stage references.

How a 400-person EU fintech cut CI/CD cloud bill by $11k/month

"[Placeholder quote — replace with anonymized customer narrative.]"

  • [X Compute Nodes] enrolled
  • [Y compute-hours] / month
  • [Z% saved] vs prior cloud spend

How a Helsinki research group ran 2,000 Docker hours on idle lab PCs in one weekend

"[Placeholder quote — replace with anonymized customer narrative.]"

  • [X Compute Nodes] enrolled
  • [Y compute-hours] / weekend
  • [Z% saved] vs cloud burst pricing

How a healthcare ISV processed regulated data without leaving the corporate network

"[Placeholder quote — replace with anonymized customer narrative.]"

  • [X Compute Nodes] enrolled
  • [Y compute-hours] / month
  • On-prem deployment: 100% of compute on customer-owned hardware
Security Posture

Built for regulated industries

Financial services, healthcare, and government organizations trust Zyra for their most sensitive compute workloads.

SOC 2 — audit in progress

Type II audit underway with target completion Q4 2026

End-to-End Encryption

AES-256 encryption at rest and TLS 1.3 in transit

Comprehensive Audit Logging

Every privileged action recorded for compliance and forensics (see security.html)

Data Sovereignty

Workload data stays inside the customer's network perimeter

Role-Based Access

Granular permissions and device approval workflows

Secure Enrollment

IT-controlled device enrollment with approval workflow

SOC 2 Audit in progress (Q4 2026)
GDPR Compliant
ISO 27001-aligned controls
Pricing

Simple, transparent pricing

Start free, scale as you grow. No hidden fees.

Starter

For small teams getting started

$0 /month
  • Up to 10 Compute Nodes
  • 100 job hours/month
  • Web dashboard
  • Email support
Sign up for free
For most teams

Professional

Pay only for compute you actually use. No monthly commitment.

$0.08 per device per hour

Example: 5 Compute Nodes running 8 hours a day = $96/month

  • Up to 1,000 Compute Nodes
  • Unlimited job hours
  • API access
  • Priority support
  • SSO/SAML integration
Sign up for free

Enterprise

For large organizations

Custom contact us
  • Unlimited Compute Nodes
  • On-premises deployment
  • Dedicated support
  • Custom SLA
  • Air-gapped option
Contact Sales
Feature Starter Professional Enterprise
Compute Nodes Up to 10 Up to 1,000 Unlimited
Job Hours 100/month Unlimited Unlimited
API Access — ✓ ✓
SSO / SAML — ✓ ✓
On-Premises Deploy — — ✓
Custom SLA — — ✓
Support Email Priority Dedicated

“Unlimited” means no platform-imposed cap on job-hours or Compute Nodes for the tier — subject to the fair-use policy in Terms §7.

How Zyra compares to traditional cloud

Three representative workloads. Cloud rates from AWS public pricing, 2026-Q2. Full methodology →

Workload type Traditional cloud /hr Zyra /hr Savings %
16-CPU AI inference $0.42 $0.08 81%
32-CPU batch render $0.84 $0.16 81%
8-CPU dev environment (24/7) $0.21 $0.08 (active only) ~90%
15% off

Annual prepay

Pay annually, save 15% on the Pro tier. Lock in a predictable budget.

Talk to sales
30 days

Money-back guarantee

Not happy in your first 30 days? Full refund, no questions asked. See Terms §7.

Sign up for free
PDF

Procurement one-pager

Pricing, security posture, and SLAs — the document your procurement team needs.

Download PDF
FAQ

Frequently Asked Questions

Everything you need to know about Zyra.

Zyra monitors Compute Node health via heartbeats every 30 seconds. If a Compute Node goes offline mid-task, heartbeat-driven failover reassigns the task to another available node; no manual intervention is required during standard node failure. Jobs are designed to be fault-tolerant by default.
Yes. Every task runs inside a sandboxed Docker container with no network access, read-only filesystem, and strict resource limits. Data is encrypted in transit (TLS 1.3) and at rest (AES-256). The Zyra agent cannot access the host machine's files, and task data is automatically purged after completion.
On the example workloads in our ROI calculator, organizations save 60-81% versus equivalent AWS instances. The marginal cost of running on hardware you already own is essentially electricity. Try the calculator with your own fleet size; full assumptions are in our methodology.
Traditional cloud providers rent you hardware in their data centers and bill 730 hours/month per instance. Zyra runs Virtual Servers as Docker containers on PCs your organization already owns, billed only when active. You keep on-device data control, avoid vendor lock-in, and pay roughly $0.08 per device-hour. Even AWS Spot Instances still leave the data and the bill in someone else's data center.
GDPR-compliant today; SOC 2 Type II audit in progress (target Q4 2026); ISO 27001-aligned controls operational; PCI SAQ A self-attested at 89%; OWASP ASVS Level 1 at 91%; NIST CSF 2.0 tier 2.7. HIPAA is not in scope today — we do not accept Protected Health Information as workload input. Full evidence-backed posture on /security.html.
In normal use, no. The agent caps CPU and RAM consumption (administrator-configurable; default ~50% of available cores) and pauses workloads when interactive use is detected (keyboard, mouse, foreground app). Admins can also schedule Zyra to run only after hours. Compute Node operators can opt out of any individual job from the system-tray icon.
Most pilot customers reach first job in about 15 minutes. You install a small agent on each PC — Windows MSI, macOS .pkg, or pushed via Group Policy/Intune/Jamf — and the device registers itself with your organization. No reboot required. Linux server agent is available; mobile is planned for Phase 2.
Hourly billing matches your actual workload spikes. Pay $0 when devices are idle. Pay only for the compute you actually use. Most cloud providers force you into per-month or per-instance commitments that bill 730 hours/month even when your workload is bursty. Zyra's per-active-hour model lines up with how real workloads behave — and it's why our 8-CPU dev-environment example shows ~90% savings.
Most standard Linux Docker images run without modification, including Python, Node.js, Java, .NET, Go, Rust, R, and Julia workloads. Windows containers are on the roadmap. Containers run with no network access by default; outbound access can be enabled per Virtual Server. Maximum image size is governed by your plan.
Yes. The REST API at api.getzyra.io covers every action available in the dashboard. The CLI ships as a single binary for Windows/macOS/Linux and uses the same API. We publish OpenAPI specs and example GitHub Actions, GitLab CI, and Jenkins templates so CI pipelines can deploy Virtual Servers in one step.
See all 30 frequently asked questions →

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Deploy a private compute cloud on the PCs your organization already owns.

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