AI infrastructure platform

Verified AI infrastructure for production teams.

Ryvion gives teams one controlled place to run AI workloads, reserve operator capacity, stream results, track usage, and retain signed execution evidence. Send a normal API request. See where it ran. Keep the proof.

OpenAI-compatible gatewaySigned execution receiptsManaged operator capacity

Create workspace Explore platform

Loading capacity snapshot

Public infrastructure metrics will appear here when the capacity endpoint responds.

Choose your workflow

Start from the surface that matches your role.

Ryvion serves buyers, developers, operators, and auditors from the same execution loop. Pick the path that gets you to work fastest.

Run AI workloads

Run requests, watch status, control spend, and keep receipts for every completed job.

Open workspace

Integrate the API

Switch the base URL, stream completions, attach policy, and verify execution later.

Read docs

Operate GPU capacity

Operator guide

Verify evidence

Inspect signed RYV1 receipts, audit routes, metering, node identity, and result hashes.

Trust model

Platform operations

A controlled operating layer for AI workloads.

API access, policy routing, operator capacity, usage controls, receipts, and audit export work together so teams can run AI systems with evidence instead of blind execution.

Clear operational ownership

Developer-ready execution path

Capacity managed through trusted operators

Ryvion command surface

Verified execution loop

Platform online

IngressGatewaystreaming request

PolicyCA routejurisdiction locked

ExecutionOperator GPUcontainer runner

ReceiptSigned recordaudit evidence

Committed usage$248.20pre-flight spend control

Completed runs1,284receipts closed

Operator settlement$71.42ready to settle

Audit exports18downloadable evidence

Capability stack

One platform surface for the whole AI execution loop.

Ryvion combines gateway, scheduler, operator capacity, verification, knowledge, agents, and usage control in one product surface.

API ingress

OpenAI-compatible gateway

Move existing SDK calls to Ryvion, stream completions, and keep the operational trace behind every request.

Explore

Control plane

Policy scheduler

Route work by model, node capability, jurisdiction, trust tier, queue state, and credit reservation.

Explore

Capacity layer

GPU node execution

Operators register hardware, report capabilities, accept jobs, run containers, and return results to the hub.

Explore

Evidence layer

Signed receipts

Each completed job can carry durable proof: node identity, output hash, metering units, timing, and verification state.

Explore

Context engine

Knowledge + RAG

Build provenance-aware knowledge bases with vector search, graph context, memory, and MCP-accessible tools.

Explore

Autonomous work

Agent hosting

Deploy persistent agents with tools, memory, observability, workspace actions, and metered execution.

Explore

Trust controls

Guardrails + audit

PII detection, prompt-injection checks, safety controls, audit export, and EU AI Act-ready evidence flows.

Explore

Usage control

Billing + marketplace

Buyers pre-pay for usage while operators earn from verified work, uptime, and reserved infrastructure demand.

Explore

Operational flow

From request to receipt, the route is visible.

Ryvion is built around the operational chain that matters: reserve credits, enforce policy, select hardware, run the workload, stream the answer, and close the audit trail.

No duplicate POST retries

Jurisdiction enforcement

Container job fail-fast

Exportable audit evidence

Request enters

SDK call, playground job, agent task, batch run, or site refresh hits the hub.

Policy resolves

Credits reserve, jurisdiction rules apply, and the scheduler matches model + node capability.

Node runs

The operator node-agent hands work to the runner and streams usable output back through the gateway.

Receipt closes

The hub stores metering, hashes, signature material, and audit context for later verification.

Credits

$248.20reserved before launch

Active jobs

126 running · 4 queued

Receipts

100%completed runs signed

chatcmpl_8f2aCA · RTX node

streaming1,248 tok

agent_run_41b9US · trusted

tool call6 tools

rag_knowledge_13EU · policy

verified42 chunks

site_epoch_027CA · reality

export18 assets

Practical interface

The website should show the product users actually operate.

Buyers do not need a decorative landing page. They need a clear path into keys, playground runs, models, knowledge, agents, jobs, audit, billing, and usage.

Launch and inspect

Run a playground request, open the job record, inspect the receipt, export evidence.

Manage context

Attach knowledge bases, memory, guardrails, jurisdiction policy, and model choices.

Control spend

Reserve credits, track usage, reconcile receipts, and avoid opaque cloud billing.

Operator capacity

Bring trusted GPU capacity into a controlled platform.

Operators claim nodes, report hardware, receive scheduled work, and earn from runs that pass verification. Buyers get a familiar API with evidence instead of a black box.

Become an operator View pricing

Capacity operations

GPU operator panel

Utilization78%

Queue depth12

Proof SLA100%

ryv-ca-north-04RTX 4090online72%

ryv-us-west-11L40Srunning88%

ryv-eu-core-02A6000ready41%

Developer path

Switch the base URL. Keep production evidence.

Existing OpenAI-compatible code can move first. Ryvion then adds the controls cloud APIs usually hide: scheduling, policy, receipts, usage, and audit export.

Reality refresh

Capture sets, QC reports, diffs, and export bundles for physical-world workflows.

Fine-tuning path

QLoRA to GGUF pipeline for private model adaptation and runner deployment.

MCP server

Nine tool surfaces expose knowledge, jobs, agents, and workspace actions to clients.

Pythonreceipt-backed stream

from openai import OpenAI

client = OpenAI(
    base_url="https://api.ryvion.ai/v1",
    api_key="ryv_live_...",
)

stream = client.chat.completions.create(
    model="phi-4",
    messages=[
        {"role": "system", "content": "Use verified KB context."},
        {"role": "user", "content": "Summarize this site report"},
    ],
    stream=True,
    extra_body={
        "jurisdiction": "CA",
        "receipt": True,
    },
)

for event in stream:
    print(event.choices[0].delta.content or "", end="")

RYV1 receipt

Verification payload

job_idj_8f2a1b3c

node_public_keyed25519:a7f3c9d8

result_hashsha256:9c1e4d7f

policyjurisdiction=CA

metering_units1,248

verifiedtrue

Trust layer

Proof is not a feature badge. It is the product surface.

The strongest version of Ryvion is not another model marketplace. It is a system where execution, provenance, metering, and jurisdiction are clear enough for operators, buyers, auditors, and developers to use every day.

See trust model

Start building

Send the first request, then inspect the route.

Create a workspace, run inference, connect knowledge, deploy agents, and verify the signed trail from the same product surface.

Create workspace Quick start

terminal

$ curl https://api.ryvion.ai/v1/chat/completions \
  -H "Authorization: Bearer ryv_live_..." \
  -H "Content-Type: application/json" \
  -d '{"model":"phi-4","messages":[{"role":"user","content":"Hello"}]}'$ curl https://api.ryvion.ai/v1/chat/completions \
  -H "Authorization: Bearer ryv_live_..." \
  -H "Content-Type: application/json" \
  -d '{"model":"phi-4","messages":[{"role":"user","content":"Hello"}]}'

{

"id": "chatcmpl_01HZZB4Q4X9R",

"object": "chat.completion",

"model": "phi-4",

"choices": [{

"message": {

"role": "assistant",

"content": "Hello! How can I help you today?"

"finish_reason": "stop"

}],

"usage": {"prompt_tokens": 12, "completion_tokens": 9}

}

✓ Receipt generated — query via /api/v1/buyer/receipts

Verified AI infrastructure for production teams.

Live Ryvion infrastructure capacity

Start from the surface that matches your role.

Run AI workloads

Integrate the API

Operate GPU capacity

Verify evidence

A controlled operating layer for AI workloads.

One platform surface for the whole AI execution loop.

OpenAI-compatible gateway

Policy scheduler

GPU node execution

Signed receipts

Knowledge + RAG

Agent hosting

Guardrails + audit

Billing + marketplace

From request to receipt, the route is visible.

Request enters

Policy resolves

Node runs

Receipt closes

Operational dashboard

The website should show the product users actually operate.

Launch and inspect

Manage context

Control spend

Bring trusted GPU capacity into a controlled platform.

Switch the base URL. Keep production evidence.

Reality refresh

Fine-tuning path

MCP server

Proof is not a feature badge. It is the product surface.

Send the first request, then inspect the route.