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NEW SpinDynamics v3 — RL-native routing engine, 40% lower p99

AI Inference.
Anywhere. Optimized.

One control plane to deploy, route, and optimize model inference across edge, on-prem, and multi-cloud — powered by reinforcement learning that adapts in real-time.

deploy.py
from spindynamics import Cortex client = Cortex(api_key="sd_live_...") # Deploy with RL-optimized routing deployment = client.deploy( model="llama-3.1-70b", strategy="adaptive", # RL-optimized placement regions=["us-*", "eu-*"], constraints={ "max_latency_ms": 50, "data_residency": "eu-gdpr" } ) # Inference is automatically routed response = deployment.infer("Summarize Q4 earnings...", stream=True)
Deployed in production at
Brakteon
VORLYNT
Zyntrek
NEXWARP
Phrenova
DYMAXEN
47ms
p99 global inference latency
200+
Edge points of presence
99.999%
Platform availability SLA
3.2x
Avg. inference cost reduction
Platform

One platform. Every inference workload.

SpinDynamics weaves together your entire inference infrastructure into a single, observable, RL-optimized mesh.

RL-Optimized Routing

A reinforcement learning engine that continuously learns optimal placement — balancing latency, cost, and compliance constraints across every request.

Edge-Native Runtime

Sub-50ms inference at 200+ edge PoPs worldwide. Models are compiled and cached at the edge — no cold starts, no round-trips to origin.

On-Prem Orchestration

Air-gapped deployments for regulated industries. Full platform capability on your hardware, with dedicated Field Deployment Engineers for white-glove setup.

HyperScale Autoscaling

Scale from zero to millions of inferences per second. Our dynamic provisioning engine spins up capacity before demand spikes — not after.

Compliance Mesh

Automatic data residency enforcement across jurisdictions. Compliance policies baked into the routing layer, not bolted on.

Real-Time Observability

Full inference telemetry, cost attribution, model drift detection, and latency tracing. See exactly where every token goes and what it costs.

How It Works

Deploy once. Optimize forever.

SpinDynamics sits between your application and your infrastructure. The RL engine handles the rest.

1

Connect Your Infra

Point SpinDynamics at your cloud accounts, edge nodes, and on-prem clusters. One YAML config. Full fleet visibility in under 5 minutes.

2

Deploy Your Models

Push any model — PyTorch, JAX, ONNX, GGUF — through our registry. SpinDynamics compiles, quantizes, and distributes across your mesh automatically.

3

Let RL Optimize

Our routing engine observes every inference request and continuously learns. Latency drops. Costs fall. Compliance stays airtight. You ship product.

Your App SpinDynamics RL Router Edge 200+ PoPs <50ms Cloud Multi-region Auto-scale On-Prem Air-gapped FDE-led Telemetry Mesh cost · drift · p99 feedback loop
Enterprise

Built for teams that ship AI at scale.

Everything your platform team needs to operationalize inference across the org — without the overhead.

Field Deployment Engineers

Dedicated FDEs embedded with your infrastructure team. On-site or remote. They architect, deploy, and tune your SpinDynamics mesh — so your team stays focused on product.

WHITE-GLOVE

Air-Gapped On-Prem

Full platform capability with zero external dependencies. Runs on your hardware, your network, your terms. Designed for defense, healthcare, and financial services.

AIR-GAPPED

99.999% SLA

Five-nines availability backed by multi-region failover and active-active redundancy. Incident response in under 15 minutes. We don't page you — we fix it.

24/7 SUPPORT
Integrations

Works with your stack.

First-class support for every major cloud, ML framework, and orchestration layer. No vendor lock-in. Ever.

AWS
GCP
Azure
PyTorch
JAX
TensorRT
vLLM
ONNX
Kubernetes
Terraform
Prometheus
Datadog
OpenTelemetry
Hugging Face
MLflow
Ray
Triton
GGUF

We consolidated three inference platforms into SpinDynamics and cut our serving costs by 62%. The RL routing engine is genuinely unnerving — it finds optimizations our team didn't know existed.

D. Kowalski · VP Infrastructure, Vorlynt Systems Series C · 400+ engineers

Ready to stop overpaying
for inference?

Talk to our team. Deploy your first model in under 5 minutes.

Request a Demo Read the Docs →