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An AI-native inference cloud built for production AI, combining serverless scaling and dedicated GPU infrastructure with predictable performance and cost.

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DeepTrin
Meeboss
HeyGen
Higgsfield
DeepTrin
Meeboss
HeyGen
Higgsfield

Start serverless.
Scale for success

Run AI models instantly with serverless inference, then scale seamlessly into dedicated GPU infrastructure as your workloads grow.

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Automatic scaling to zero with no idle cost

Built-in batching and latency-aware scheduling

Production-ready APIs for LLM and multimodal models

Multi-tenant isolation for predictable performance

When serverless isn't enough,Take Control.

Built on NVIDIA Reference Platform Cloud Architecture and validated designs for performance, reliability, and scale.

Explore GPU Infrastructure

Dedicated bare metal GPUs with predictable performance.

Our Cluster engine orchestrates multi-node cluster at the infrastructure layer.

Root access and custom stacks when infrastructure matters.

GPU Pricing

Transparent GPU pricing for production AI workloads across NVIDIA H100, H200, and Blackwell platforms.

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NVIDIA H100

$2.00/GPU-hour

Ideal for inference and training jobs needing high memory bandwidth and larger model footprints.

AVAILABLE NOW

NVIDIA H200

$2.60/GPU-hour

Optimized for training and inference at scale with strong performance, availability, and ecosystem support.

AVAILABLE NOW

NVIDIA Blackwell

Pre-order

Best for teams planning large-scale deployments that require maximum performance headroom.

Coming soon

Production AI Runs Better on GMI Cloud

Real performance gains across production AI workloads.

3.7x

Higher throughput

5.1x

Faster inference

30%

Lower cost

2.3x

Faster Scaling When Demand Spikes

Based on real production inference traffic, including real-time and batch workloads, using equivalent model configurations.

Inference-First by Design

Inference is serverless by default. Scaling, traffic handling, and cost optimization happen automatically, including scaling to zero.

Serverless by Default

Inference runs serverless by default, with automatic scaling, request batching, and cost-aware scheduling.

Performance at Scale

Dedicated GPU clusters with RDMA-ready networking ensure stable throughput under sustained load.

Flexible by Design

Scale from API-based inference to full GPU clusters without re-architecting your stack.

FAQ

Get quick answers to common queries in our FAQs.

Deploy models.
Run inference.
Scale automatically.

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