Now in Private Beta

Deploy AI at 88 mph

The modern MLOps platform for engineering teams. Ship machine learning models faster, scale infrastructure effortlessly, and monitor everything in real-time. Where you're going, you don't need legacy infrastructure.

# Deploy a model in seconds
from eightyeight import flux

# Initialize your model
model = flux.Model("gpt-custom")

# Deploy to production
model.deploy(
target="production",
auto_scale=True
)

# That's it. You're live.

Backed by leading cloud infrastructure

88x
Faster Deployment
99.9%
Uptime SLA
<50ms
P95 Latency
60%
Cost Reduction

Built for Modern AI Teams

Everything you need to ship ML models to production, without the infrastructure complexity.

One-Click Deployment

Deploy any model—PyTorch, TensorFlow, Hugging Face, or custom—with a single command. No Kubernetes expertise required.

Real-Time Monitoring

Track inference latency, model drift, and resource utilization. Get alerts before issues impact your users.

Auto-Scaling

Automatically scale from zero to thousands of requests per second. Pay only for what you use.

Enterprise Security

SOC 2 Type II compliant. VPC isolation, encryption at rest and in transit, and comprehensive audit logs.

A/B Testing & Rollouts

Canary deployments, shadow mode testing, and gradual rollouts. Ship with confidence, rollback instantly.

Cost Optimization

Smart instance selection, spot instance management, and GPU sharing. Reduce your cloud bill by up to 60%.

From Code to Production in Minutes

Stop wrestling with infrastructure. Our Flux engine handles the complexity so you can focus on building great models.

1

Connect Your Repository

Link your GitHub, GitLab, or Bitbucket repo. We detect your model framework automatically.

2

Configure & Deploy

Set your scaling parameters, select GPU types, and hit deploy. We handle the rest.

3

Monitor & Iterate

Real-time dashboards show performance metrics. Push updates with zero downtime.

2.3M
Inferences/Day
47ms
Avg Latency
12
Active Models
$847
Saved This Week

Built for Every AI Use Case

Whether you're deploying LLMs, computer vision models, or recommendation engines, 88mph scales with your needs.

Large Language Models

Deploy and fine-tune LLMs with optimized inference. Support for GPT, Llama, Mistral, and custom models with automatic batching.

Computer Vision

Real-time image and video processing at scale. GPU-optimized pipelines for object detection, segmentation, and classification.

Recommendation Systems

Low-latency personalization at scale. Feature stores, model caching, and real-time feature computation built-in.

Ready to accelerate your AI deployment?

Join engineering teams shipping models at 88 mph. Early access spots are limited.