For Platform Engineering

Python performance at fleet scale

Roll out consistent Python acceleration across your entire infrastructure. Fleet-wide observability, centralized control, and zero-touch optimization.

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Platform-level impact

70x

GPU acceleration on large arrays

10M+ element operations see the biggest gains

Code changes required

Drop-in deployment across existing apps

5 min

Time to deploy fleet-wide

Add to base image, done

100%

Visibility into optimization

Real-time telemetry via Epochly Lens

Built for infrastructure teams

Fleet-Wide Observability

See what's optimized across every Python process in your infrastructure. Real-time metrics, aggregated dashboards, and alerts.

Explore Epochly Lens

Centralized Policy Control

Set optimization levels, resource limits, and rollout strategies from a single configuration. Enforce consistency across teams.

View configuration options

Resource Optimization

Do more with existing hardware. Epochly's optimizations mean fewer servers, lower cloud bills, and better utilization.

See benchmark data

Team Enablement

Give your data science and ML teams faster iteration without infrastructure changes. Self-service performance acceleration.

Developer experience

Deploy in minutes

Add Epochly to your base image or requirements file. Configure fleet-wide policies with environment variables. That's it.

# Add to your base Docker image
FROM python:3.12-slim
RUN pip install epochly
# Or deploy via requirements.txt
# epochly>=0.9.0
# Fleet-wide configuration
ENV EPOCHLY_LICENSE_KEY=your-enterprise-key
ENV EPOCHLY_LENS_ENDPOINT=https://lens.yourcompany.com
ENV EPOCHLY_MAX_LEVEL=3  # Cap optimization level

See everything with Lens

In Development

Real-time visibility into optimization status, performance gains, and resource savings across your entire fleet.

# Epochly Lens fleet dashboard
$ epochly-lens status
Fleet Overview:
  Processes: 847 active
  Optimization Rate: 72.3%
  Time Saved (24h): 1,284 compute-hours
Top Accelerated Workloads:
  1. jit-polynomial-eval    → 193x speedup (Level 2)
  2. gpu-elementwise-100M   → 68x speedup  (Level 4)
  3. gpu-batch-convolution  → 19x speedup  (Level 4)
  4. parallel-monte-carlo   → 7x speedup   (Level 3)
Alerts:
  None. All processes healthy.

Enterprise tier on our roadmap

On Roadmap

SSO & RBAC

Integrate with your identity provider. Role-based access for Lens dashboards.

Air-Gapped Deployment

Formal on-premise support with compliance documentation and audit trails.

Dedicated Support

Dedicated support channel, SLA guarantees, and direct engineering access.

Ready to optimize your fleet?

Start with the free Community tier or unlock Pro for unlimited cores and GPU acceleration.

Get Started