AI infrastructure, made coherent

Run AI on the
right compute.

Find GPU capacity, deploy models, and choose the right setup for your workloads.

Compute, inference, and workload intelligence—in one platform.

01 — Compute
CAPACITY, WITHOUT THE COMPLEXITY

Find the compute
you need.

Compare GPU capacity across providers. Choose the hardware, location, and commercial terms that fit your workload.

Explore capacityIllustrative preview

Compare capacity

Explore GPU specifications, memory, availability, and pricing in one place.

Reserve resources

Arrange capacity for your start time and duration, with available terms shown upfront.

Choose your location

Find providers and regions that meet your deployment and data-location requirements.

Manage your compute

Provision, monitor, and release resources through one interface.

02 — Inference
FROM MODEL TO PRODUCTION

Deploy models.
Run inference.

Bring a supported model or inference workload. Infermax handles compute setup, model serving, and execution tracking.

Deployment flowIllustrative preview
Model inputYour model
Configured
Compute allocatedRuntime configured
Inference endpointReady for requests
POST /v1/chat/completions200 OK ↵

Managed deployments

Deploy supported open models as inference endpoints, with infrastructure and serving configuration managed for you.

Inference API

Connect your application through an OpenAI-compatible API.

Workload execution

Submit supported inference jobs, set your requirements, and track progress through completion.

Usage and costs

See usage, performance, and workload costs in one place.

03 — Workload Intelligence
BETTER DECISIONS, BEFORE DEPLOYMENT

Find the right setup
for your workload.

Compare model, runtime, and GPU configurations. Understand expected cost and performance before you commit compute.

Configuration explorerIllustrative estimates
Chat inference · 8B modelOptimize your configuration for
CONFIGURATION EST. COST / HR EST. LATENCY
L40S · vLLM $0.90 240 ms
A100 · vLLM $1.50 180 ms
H100 · vLLM $2.40 110 ms
L40S: lowest example cost within a 300 ms latency target.

Workload matching

Find configurations suited to your model, input size, traffic, and performance targets.

Cost and performance estimates

Compare estimated latency, throughput, and cost using benchmarks and observed runs.

Your requirements, applied

Narrow your options by budget, location, compatibility, and performance needs.

Clear recommendations

See why a configuration fits, what evidence supports it, and how measured results compare with estimates.

How it works

Start with what you know.

01 /

Choose your compute

Already know the hardware you need? Find capacity and provision it.

02 /

Bring your model

Have a model ready? Let Infermax configure and deploy it.

03 /

Define your workload

Need help choosing? Share your workload and requirements to compare suitable configurations.

Let's build your starting point

What do you want to run?

Tell us about your model, workload, or compute requirements. We’ll help you find a starting point.

Start a conversation

What do you want to run?

Share your requirements with the Infermax team for review.

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