Compute as a Service

The dawn of a new era in compute.

Aurant delivers high-performance compute on a new class of processor — more work from every watt, air-cooled, and deployed in months, not years.

Explore the two paths See the technology
First light
Aurant
The golden age of AI needs a new dawn in compute. Aurant is that leap — an architecture that turns every watt into several times more work, and resets what efficiency means.
I The new measure

More work from every watt.

Every data center, ours or anyone else’s, is bounded by its power. So picture a gigawatt campus producing nearly six times the compute — or a 200 MW site keeping pace with a gigawatt one. That is no longer a thought experiment.

5.7×
Compute per watt versus a leading liquid-cooled GPU rack
Dense FP16 · fully loaded
~8×
Accelerators per megawatt of facility power
Including cooling
21.7kW
Per rack, all-in — and entirely air-cooled
15.2 kW IT load

Compute per watt, fully loaded

Leading GPU rack
1.0×
Aurant
5.7×

Tokens per watt, whole system

Prior-gen GPU
1.0×
Aurant
5.8×

Figures from internal benchmarking and independent third-party testing, run on identical test harnesses at matched precision, and measured at rack level including networking and cooling. Methodology available under NDA.

II The architecture

Re-architected from the silicon up.

Conventional processors fetch and decode the same instructions millions of times and shuttle every intermediate result back to memory. Our patented dataflow architecture configures processing stages around the program — and lets the data move through them like light.

01

Configured execution

Functions are mapped to stages and reused, eliminating repeated instruction fetch and decode — the hidden tax on every conventional chip.

02

Direct result reuse

Intermediate results feed the next operation directly instead of round-tripping through memory, cutting the data movement that burns most of the power.

03

Parallel by design

Many chains run side by side on independent data streams — built for the highly parallel shape of AI, simulation, and HPC.

04

Familiar to developers

CUDA-compatible, with hardware partitioning and confidential computing, so existing workloads move without a rewrite.

Per processor
Memory
128 GB HBM3
Memory bandwidth
5.0 TB/s
FP16 / BF16 (dense)
~1,820 TFLOPS
INT8
~3,655 TOPS
Power
61 W
Per rack
Processors
80 across 8 blade servers
IT load
15.2 kW
Total incl. cooling
21.7 kW
Cooling
Air — no liquid loop
Footprint
Standard 800 × 1200 mm cabinet
III The offering

Two paths to first light.

Bring us your power and space, or bring us your workloads. Either way, Aurant owns, deploys, and operates the compute — and you get capacity without the capital burden or the build-out risk.

Path 01Colocation

Your facility. Our compute.

Put stranded power to work.

We place Aurant racks inside your data center or campus and operate them there. Because the platform is air-cooled at roughly 22 kW per rack, it drops into existing halls — no liquid-cooling retrofit, no new build.

  • Fits the hall you have. Standard high-density cabinets, conventional air cooling.
  • We own and operate the hardware. No equipment purchase, no stack to manage.
  • Structured to fit. Tenancy, partnership, or dedicated capacity for your own workloads on-site.
Built for
Data center operators · power-rich sites · enterprises with space
Discuss colocation
Path 02Compute as a Service

Our hubs. Your workloads.

Capacity, without the build.

Run on capacity in Aurant Compute Hubs — purpose-built sites engineered around this architecture. Reserve what you need now, scale into dedicated clusters, and lock in long-term agreements as you grow.

  • Reserved and dedicated capacity. From a partition to a private cluster.
  • Long-term capacity agreements. Predictable supply for training and inference roadmaps.
  • Secure by architecture. Hardware isolation and confidential computing for sensitive work.
Built for
AI companies · enterprises · research · government
Reserve compute

We don’t sell hardware. We deliver compute.

IV What it runs

Built for the work ahead.

Wherever throughput, efficiency, and isolation matter — from serving models at scale to classified simulation.

01

AI inference

Serve models at scale with the token economics that make products viable.

02

Training & fine-tuning

Dedicated clusters for training runs and continuous fine-tuning.

03

Scientific & engineering HPC

Simulation, modeling, and research computing at FP64 strength.

04

Financial modeling

Risk, pricing, and analytics workloads that never wait in a queue.

05

Private AI

Isolated, dedicated infrastructure for models and data that stay yours.

06

Sovereign & government

U.S.-built and operated, deployable inside your own facility, with confidential computing in hardware.

V Where the light lands

Compute Hubs, rising.

Aurant sites go where power is abundant and the economics are right — and, through colocation, wherever you already have both.

Flagship hub

Los Angeles

On a redundant fiber loop near One Wilshire, among the most interconnected buildings on the West Coast.

In development

Across the U.S.

Additional hubs in power-advantaged markets, scaling to thousands of racks.

Colocation

Your site

Aurant racks deployed and operated inside your own facility.

Step 01

Scope

We map your workloads, capacity, and timeline.

Step 02

Test

Run your own workload on our live racks and see the results for yourself.

Step 03

Choose a path

Capacity in an Aurant hub, or racks in your facility.

Step 04

Deploy

Racks ship ready to run — air-cooled, standard footprint.

Step 05

Operate

We run the infrastructure. You run the work.

VI Daybreak

Meet the morning.

Bring your workload and run it on our live racks — or tell us where you have the power to host them. We’ll show you what a new era of compute looks like on your terms.

Test your workload Discuss colocation
or write to sean@aurant.ai