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The Radix Platform

Complete AI operations across the lifecycle. Optimize training. Govern inference. Control costs.

Radix Core

GPU scheduling optimization

Radix Studio

LLM governance & control

Radix Core

GPU scheduling that actually optimizes for memory, compute, and power—not just availability.

Up to 21.4% throughput improvement

over industry-standard FIFO scheduling

Save roughly $250,000/year with 100 GPUs, or get your jobs to production quicker in cloud

Light

Install Radix agents on Kubernetes clusters. No stack changes. No changes to how you initiate training jobs.

Demonstrable

Leadership-ready dashboard reports showing Radix performance compared to your existing scheduler.

Adaptive

Radix leverages continual scheduling refinement AI to ensure the best results over time.

Secure

Signed images/charts, SLSA Level 3 attestations, read-only file systems, non-root execution.

How Radix Core Works

1

Install the Helm chart

2

Choose zero egress or API mode

3

Port-forward the service

4

Get GPU insights in 60 seconds

Works with Kubernetes, Slurm, and Ray. Your data scientists submit jobs exactly as they do today.

Try Radix Core Free for 14 Days

Full access to Radix Core. See precisely what throughput gains are possible. Run in shadow mode alongside your existing scheduler for zero-risk proof.

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Radix Studio

The control plane for LLM operations. Governance, cost control, and multi-model orchestration.

Reusable

Chain LLM calls, RAG queries, and tool integrations into production-ready workflows with Multi-Model Registry.

Governed

Enforce compliance policies, content filtering, and budget controls at every step of your AI pipeline.

Transparent

Real-time visibility into each pipeline step with full execution traces and audit logs.

Secure

Multi-tenant architecture for complete data isolation. Per-tenant policies and access controls.

What Radix Studio Provides

Pipeline Orchestration

Build your own reusable multi-step AI workflows or cook with our recipes. Run LLM calls, RAG retrieval, tool execution, and post-processing reliably with full execution traces.

Multi-Model Registry

Register HTTP endpoints, container workloads, and external clusters. Bring Your Own GPU (BYOG) via secure Docker agent.

Governance & Audit

Create and enforce policies for content safety, team fairness, and cluster health all with comprehensive audit logs for compliance.

Cost Control

Performance vs cost knobs, rate limiting, usage caps, and predictable per-execution pricing tiers.

Try Radix Studio Free

Full access to Radix Studio Team tier. Build pipelines, connect models, and see governance in action.

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Choose Your Path

Start with what you need. Expand when you're ready.

Radix Core

You're training models on GPUs and want more throughput plus better observability. Deterministic scheduling improvements without changing workflows.

$28/GPU/mo

Up to 400 GPUs

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Radix Studio

You're running LLM applications in production and need control over models, pipelines, costs, and governance. A control plane, not just API wrappers.

$29/mo

Team tier: 1 user, 3 models

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Radix Platform

Full AI operations coverage. Training optimization plus inference governance. One platform, complete lifecycle control.

Core + Studio

Bundle pricing available

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Not sure which is right for you?

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