Run any AI model, any script, any workflow without the infrastructure headache

Infinite Compute, On‑Demand.

Introducing Valkyrie by Azumo.

Valkyrie by Azumo eliminates the biggest barrier to AI innovation: accessing scalable, optimized compute. Deploy LLMs, fine-tune models, generate content, or run custom workloads with a single API call.

curl -X POST "https://api.valkyrie.dev/job/start" \
-H "X-API-Key: $YOUR_KEY" \
-d '{"script": "python train_model.py"}'
⚡ Provisioning optimal compute...
🚀 Job executing on best-fit hardware
✅ Results ready • Environment cleaned

The Infrastructure Tax That's Killing Innovation

Your team has brilliant ideas. Your models are ready. But you're stuck wrestling with GPU provisioning, environment setup, and cloud complexity instead of building what matters.

schedule

Weeks Lost to Setup

Hunt for GPUs across providers. Debug environments that break in production. Fight fragile APIs and unclear errors. Your competitive advantage dies waiting for infrastructure.

money_off

Bleeding Money on Idle Resources

Pay for clusters that sit unused. Overprovision for traffic spikes. Watch bills spiral while idle resources burn cash and you're still wrestling with basic setup.

engineering

Engineering Talent Wasted

Your best developers become reluctant DevOps engineers. Security reviews slow every new tool addition. They're fixing infrastructure instead of solving problems.

From API call to results without the chaos

How Valkyrie Works

You bring scripts, models, and data. Valkyrie provisions best‑fit compute (e.g., Vast.ai, RunPod, Hetzner, and others), manages dependencies, reports status clearly, and tears down cleanly when done.

1

Submit

Call a resilient REST endpoint with your job, artifacts, and params.

2

Orchestrate

Valkyrie provisions compute, installs requirements, loads models.

3

Run & Report

Status‑aware endpoints (queued, spinning up, loading, running, complete) with retries and reconciliation.

4

Deliver & Clean Up

Retrieve outputs or write to S3/GCS/Azure; environments auto‑terminate and are wiped.

What You Can Run

One platform. Many possibilities.

Use pre‑configured tools out of the box—or bring your own. If it's a script, Valkyrie will run it cleanly and at scale.

smart_toy

Ollama (LLMs)

Chat, analysis, agents, custom apps

bolt

Unsloth (Fine‑tuning)

Efficient training on your data

image

Flux (Images)

Inpainting, outpainting, generative design

video_library

WAN 2.2 (Video)

AI‑driven video generation

code

Qwen‑Code

"Vibe coding" for accelerated development

build

Bring Your Own

Any Python/Unix script, model, or batch job

Built For: Engineering Teams Running Predictive Models

You've trained models. You need to run them at scale. Here's what that looks like when infrastructure isn't your problem.

1

What You Bring

Your Model: Trained XGBoost for pipeline flow prediction
Your Data: CSV with thousands of scenarios to simulate
Your Script: Simple Python runner for batch predictions
2

What Valkyrie Does

curl -X POST "https://api.valkyrie.dev/instance/job/start" \
-H "X-API-Key: $YOUR_KEY" \
-d '{
  "cluster_name": "pipeline-predictions",
  "workdir": "~/models/pipeline_sim",
  "script": "python run_predictions.py --model model.json --data scenarios.csv"
}'

# Valkyrie handles: provisioning → execution → cleanup
Auto-selects optimal provider:
3

What You Get Back

trending_up
Predictions CSV
Flow rates for every scenario
schedule
Minutes, Not Weeks
No infrastructure setup
savings
Pay Per Use
No idle cluster costs

Outcomes That Matter

Make infrastructure invisible. Make progress inevitable.

Valkyrie compresses time‑to‑impact while keeping spend predictable and operations auditable.

rocket_launch

Faster Innovation

No more days lost configuring GPUs. Valkyrie provisions, runs, and scales compute in minutes so your team can focus on building, not setup.

savings

Cost-Efficient by Design

Automatic optimization across multiple providers. Auto-termination of idle clusters. Pay only for what you use, when you use it.

verified

Enterprise-Grade Reliability

Auto-scaling, GPU fallback, intelligent job scheduling, and robust authentication. Built for production from day one.

api

Simple Integration

Intuitive REST APIs designed for resilience. Clear status reporting when models load, clusters spin up, or jobs execute.

Security & Compliance

Designed for privacy, auditability, and control

Trust is foundational. Valkyrie bakes in controls that protect data, simplify reviews, and meet enterprise expectations—without slowing teams down.

shield

Data Privacy First

Customer data is never stored beyond job lifecycle. Fully abstracted and isolated workloads. Complete control over your proprietary information.

gavel

GDPR & Global Compliance

Built-in data handling policies aligned with GDPR and international privacy regulations. Process sensitive data with complete confidence.

cloud_off

Ephemeral & Isolated

Every compute instance is provisioned into an isolated environment. Automatic termination and data wiping when jobs complete.

groups

Role-Based Access Control

Fine-grained permissions ensure only authorized users and teams can access specific resources or endpoints.

https

Encrypted Communications

All API requests secured with modern encryption protocols (TLS 1.2+). Support for both API keys and JWT tokens.

assessment

Audit Trail

Detailed usage logs and wallet-based billing provide transparent records for internal governance and compliance reviews.

More Control, Less Friction

Better than DIY, more portable than single‑cloud

DIY gives control but drains time. Single‑cloud is convenient until capacity or pricing shifts. Valkyrie is a unified execution fabric that's cost‑smart and portable.

DIY Orchestration Single‑Cloud Runner Valkyrie
Provisioning & Scale Slow, manual Easy until capacity/pricing shifts Dynamic across providers
Cost Control Idle burn common Vendor‑dependent Auto‑optimize + scale‑to‑zero
Portability High effort Low High (open‑weight friendly)
Reliability Brittle under growth Varies by region/stock Retries, reconciliation, failover
Security & Audits Build it yourself Mixed Ephemeral, RBAC, audit logs
Dev Speed Weeks to stable Days Minutes to first output

Early Access for teams ready to build

How To Get Started

We're partnering with select teams to shape the roadmap in real environments. Access is commitment‑light and outcome‑focused.

Builder Teams

For engineering‑led POCs and first production jobs

  • Core platform access
  • Pre‑configured tools
  • Email support, usage & cost visibility
Request Access

Scale & Enterprise

For regulated, high‑throughput, or multi‑team workloads

  • RBAC, audit logs, wallet‑based billing
  • SSO/SAML (roadmap), VPC options (where applicable)
  • Priority support, roadmap influence
Schedule a Call

Run any model. On any machine.
With zero infrastructure drama.

Get Early Access

Frequently Asked Questions

What types of models and workloads can I run on Valkyrie?
Valkyrie can execute any script or model that runs in a containerized environment. This includes XGBoost, scikit-learn, PyTorch, TensorFlow models, custom Python/R scripts, data processing pipelines, and even non-ML workloads like simulations or batch analytics. If it runs on Linux, it runs on Valkyrie.
How does pricing work? Am I paying for idle time?
You only pay for actual compute time when your jobs are running. Valkyrie automatically terminates idle clusters, so there are no surprise bills from forgotten instances. Pricing is transparent and usage-based—you're billed per minute of actual execution time across our provider network.
Where does my data go? Can I control data residency?
Your data never leaves the isolated compute environment during job execution. All instances are ephemeral—completely wiped after job completion. For enterprise customers, we support deployment in your own cloud environment for complete data sovereignty and compliance with regional requirements.
What happens if a job fails or gets interrupted?
Valkyrie includes intelligent retry logic and reconciliation. If hardware fails, we automatically migrate your job to available resources. You get clear status reporting (queued, spinning up, running, failed, complete) so you always know what's happening. Failed jobs can be easily restarted without losing progress.
How do I get my results back?
Results can be retrieved directly through the API, automatically uploaded to your S3/GCS/Azure storage, or accessed through our secure download endpoints. You choose the method that fits your workflow—whether that's polling for completion or setting up webhooks for notifications.
Is this just another wrapper around AWS/GCP?
No. Valkyrie intelligently orchestrates across multiple providers (Vast.ai, RunPod, Hetzner, and others) to find the best price-performance for your specific workload. We handle provider failures, optimize routing, and abstract away the complexity of managing multiple cloud relationships.
How quickly can I get started?
If you have a working script and model, you can submit your first job within minutes of getting API access. No lengthy onboarding, no infrastructure setup, no DevOps expertise required. Our early access program includes direct support to help you optimize your first workflows.
What about security and compliance? Can I get SOC 2?
Valkyrie is built with enterprise-grade security from day one. We support GDPR compliance, provide detailed audit logs, use encrypted communications (TLS 1.2+), and offer role-based access control. SOC 2 certification is on our roadmap for enterprise customers.
Can I integrate this with my existing MLOps pipeline?
Yes. Valkyrie's REST API integrates seamlessly with existing tools like Airflow, Kubeflow, MLflow, or custom orchestration systems. You can treat Valkyrie as a compute backend that plugs into your current workflow without disrupting your established processes.
What if I need specialized hardware or custom environments?
Valkyrie automatically selects optimal hardware for your workload, including GPU-accelerated instances when needed. For custom environment requirements, you can specify dependencies in your job submission. Enterprise customers can work with us to pre-configure specialized environments for recurring use cases.