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AI Infrastructure for
the Intelligence Economy

Silicon-agnostic inference routing that automatically optimizes for cost, latency, and performance.

Backed by

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Deploy and run AI models on the optimal infrastructure automatically

Zygma intelligently routes inference across compute providers to optimize for cost, latency, and performance without manual configuration.

The Zygma Advantage

What we do

Zygma provides a unified control plane for AI inference. Instead of selecting GPUs manually, teams submit workloads and Zygma dynamically determines the most cost-efficient configuration based on model size, memory requirements, and performance constraints. By combining real-time telemetry with intelligent routing, Zygma reduces cost-per-inference while maintaining predictable latency and throughput.

01

Inference-First Architecture

Built specifically for AI inference workloads, not generic compute. Zygma optimizes model execution based on memory requirements, latency targets, and throughput characteristics.

02

Intelligent Compute Routing

Zygma analyzes workload parameters in real time and automatically selects the most cost-efficient GPU configuration across heterogeneous infrastructure.

03

Silicon-Agnostic Abstraction

Deploy once. Run anywhere. Zygma abstracts hardware complexity, enabling seamless execution across NVIDIA and alternative accelerator environments without rewriting code.

04

Cost-Performance Optimization

Transparent metrics on cost per inference, throughput, and utilization. Zygma continuously refines routing decisions to reduce performance-per-dollar inefficiencies.

ABOUT US

Zygma is a silicon-agnostic AI inference platform designed to optimize performance and cost across heterogeneous GPU infrastructure. We abstract hardware complexity and intelligently route workloads to the most efficient compute environments, enabling scalable AI deployment without infrastructure overhead.

Built for Production AI

Production-Grade Reliability

High-availability orchestration with automatic failover and workload rebalancing to maintain consistent inference performance under changing demand.

Isolation and Multi-Tenant Control

Workloads run in isolated environments with strict resource boundaries, preventing noisy neighbor effects and ensuring predictable throughput.

Transparent Performance Metrics

Real-time visibility into latency, utilization, and cost per inference, enabling engineering teams to monitor and optimize deployment outcomes.

Start Running AI Inference in Minutes

Getting Started with Zygma

You focus on building. Zygma handles the infrastructure.

01

Create your account and generate an API key

Sign up for Zygma and receive $5 in free credits to begin running inference right away. Create an API key and start sending requests in minutes. No GPUs, clusters, or infrastructure required.

02

Send your first inference request

Use the Zygma REST API or Python SDK to run your model with a single request. Zygma automatically routes execution to the optimal hardware based on cost, latency, and availability.

03

Deploy and scale to production

Integrate the same endpoint into your application or agent. Zygma handles provisioning, autoscaling, routing, and failover, allowing you to scale to production without managing infrastructure.

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