MANAGED GPU WORKLOADS, TRAINING & INFERENCE

Bring the code and data.
Get back the results.

Run managed AI training, batch inference, data processing, or an OpenAI-compatible model endpoint — without operating GPU servers, CUDA, or deployment infrastructure.

✦ For researchers, AI founders, and data teams
Runvera / Overview● ● ●
Sample workspace
Ready to launch
Input received✓
Status tracking✓
Results & reporting✓
Concept illustration — not a live product screenshot
WHY THIS EXISTS

Stop spending time on infrastructure

You need trained weights, predictions, embeddings, or a finished batch job — not a GPU VM, CUDA troubleshooting, and overnight monitoring.

THE WORKFLOW

How it would work

01

Describe the job

Share runtime requirements, input size, and what you need back; no sensitive files in the form.

02

Get a scoped quote

We review feasibility and estimate GPU hours, dependencies, timeline, and handling requirements.

03

Approve & receive outputs

After approval, transfer materials through an agreed secure channel and receive results.

Managed templates for training and fine-tuning
Batch inference, processing, and embeddings
OpenAI-compatible dedicated model endpoints
Versioned models, checkpoints, and artifacts
Scoped API keys, usage limits, and cost reports
Job status, bounded logs, monitoring, and retries
EARLY ACCESS

Early-access GPU pricing

from $0.25
/ GPU-hour

Proposed early-access rates: RTX A5000 from $0.25/hour, RTX 4090 from $0.84/hour, and A100 80GB from $1.69/hour. Final quotes also reflect storage, setup, availability, and service level.

Join the waitlist

Do not enter secrets, proprietary code, credentials, or datasets into this form. Discuss data handling and permitted workloads before uploading anything.

Get a workload estimate

A few technical details help distinguish serious workloads from casual interest.

Only submit business contact details and non-sensitive project context. Add your privacy policy before launch.