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Radix

Train Models Faster. Deploy LLMs Smarter.

One Platform. Two Products: Radix Core (Training) + Radix Studio (Inference)

Cut training costs by 21%. Govern every LLM call.

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21%

Training Throughput Gains

$250K

Saved per 100 GPUs/Year

Zero

Stack Changes Required

AI Operations Are Harder Than They Should Be

Teams building AI face invisible costs and governance gaps that slow everything down.

The Training Problem

GPU schedulers treat hardware as monolithic units. They account for GPU count but ignore memory, compute, and power constraints across training runs.

Up to 21% cost or training time overruns due to resource imbalances.

The Inference Problem

Every LLM call makes invisible tradeoffs: cost vs. quality, speed vs. accuracy. Without governance, you can't see these tradeoffs—let alone control them.

62% of organizations cite governance gaps as their top AI blocker.

The Radix Platform

Two products. One mission: make AI operations efficient, governed, and predictable.

Radix Core

Model Training Optimization

Get up to 21% more throughput from your existing GPU infrastructure. Radix Core uses closed-loop control to balance memory, compute, and power across all training runs.

  • LightDeploy to Kubernetes in minutes. No stack changes.
  • DemonstrableLeadership-ready dashboards comparing Radix vs. your current scheduler.
  • AdaptiveContinual scheduling refinement that improves over time.
  • SecureBuilt for air-gapped deployment with Zero egress. SLSA Level 3 attestations.

$28/GPU/month

14-day full trial

Radix Studio

LLM Inference Optimization

Take control of your AI Inference. Build governed LLM workflows with cost-aware routing. Chain LLM calls, RAG queries, and tools into production-ready pipelines with full visibility and control.

  • ReusableBuild multi-step AI workflows with our Multi-Model Registry.
  • GovernedEnforce compliance policies, content filtering, and budget controls.
  • TransparentReal-time visibility with full execution traces throughout all your pipelines.
  • FlexibleBring Your Own GPU (BYOG) or use any AI vendor.

From $29/month

Per-execution pricing. No surprises.

The Radix Advantage

No Stack Changes

Install Radix agents on your existing Kubernetes cluster. Keep your current workflow. See results in minutes, not months.

No Vendor Lock-in

Use any AI provider. Bring your own GPUs. Switch models without rewriting code. Your infrastructure, your choice.

No Hidden Costs

Predictable per-GPU and per-execution pricing. Full visibility into where every dollar goes. No surprise bills.

Proven Results

21% throughput improvement validated with statistical rigor (p < 0.001). Every performance claim is reproducible.

Built for Enterprise

Air-gapped deployment. Multi-tenant isolation. Audit logs. Compliance guardrails. Security that satisfies your infosec team.

Single Platform

Training and inference in one place. No piecing together 4+ services. One dashboard. One vendor relationship.

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Frequently Asked Questions

Everything you need to know about Radix and VaultScaler.

Radix is an AI operations platform with two products: Radix Core optimizes GPU training throughput by up to 21% through intelligent scheduling, while Radix Studio provides LLM orchestration with built-in governance, cost control, and audit trails.
88% of AI pilots fail not because the models are bad, but because the infrastructure is missing. Teams lack repeatable pipelines, governance frameworks, cost visibility, and drift detection. Radix addresses these gaps with production-ready tooling from day one.
Traditional schedulers treat GPUs as monolithic units, ignoring memory, compute, and power constraints. Radix Core uses closed-loop control to balance these resources across all training runs, delivering up to 21% throughput improvement without any changes to your existing workflow.
Radix Core works with Kubernetes, Slurm, and Ray clusters. Radix Studio integrates with any LLM provider and supports Bring Your Own GPU (BYOG) deployments. Both products deploy without stack changes—install via Helm chart and see results in minutes.
Unlike cloud-locked platforms, Radix is multi-cloud and lets you bring your own infrastructure. We focus specifically on the two hardest problems in AI ops: training efficiency and inference governance. No vendor lock-in, no surprise bills, and governance is built-in rather than bolted on.
Yes. Radix Core offers a full-featured 14-day trial with support for up to 400 GPUs. Radix Studio Team tier also includes a trial period. No credit card required to start.

Built by

VaultScaler Labs

VaultScaler Labs harmonizes AI operations at scale.
Radix Core gives you GPU cost savings and governance policies for model training.
Radix Studio gives you visibility, standardization and governance for every LLM call so you can deploy with confidence.
Radix is for those who refuse to waste compute or compromise on governance.