GPU and AI workloads

GPU rates that keep up with your fleet

Get Reserved Instance and Savings Plan discounts on GPU and AI workloads with terms as short as 30 days. Capture commitment-level savings without betting three years on hardware you'll outgrow in one.
THE PROBLEM

GPU generations move faster than a commitment

AI infrastructure changes fast. New accelerators ship, models re-architect in months, and training and inference needs shift week to week. Native Reserved Instances and Savings Plans want one or three years, so teams either lock into hardware they'll outgrow or leave GPU spend on-demand and overpay. Neither is a good option.
HOW IT WORKS

Short-term commitments, priced against your GPU spend

Archera prices Guaranteed Reserved Instances (GRIs) and Guaranteed Savings Plans (GSPs) against your GPU and AI workloads, with terms as short as 30 days. The underlying commitment sits in your own account, and Archera carries the residual risk after your term. If usage drops or you move to next-gen hardware, the Rebate Guarantee returns the cost of what you don't use, in cash, and the Release Guarantee lets you exit early. Swap instance types as your training and inference needs change. If you want commitments to adjust automatically as your fleet shifts, opt into automation policies.

GPU-fit savings

Reserved Instance and Savings Plan level discounts on GPU-intensive workloads, up to around 40% vs on-demand.

30-day flexibility

Swap instance types as your needs evolve. No one or three-year gamble on hardware you might outgrow.

No engineering effort

A read-only connection, no code changes, nothing to install.
COMPARE

How Archera compares

On-demand
1 or 3-year RI/SP
Archera
Savings vs on-demand
none
up to ~40%
up to ~40%
Minimum term
none
12 to 36 months
30 days
Instance flexibility
full
limited
full
Engineering effort
none
manual RI/SP management
none
Cloud coverage
yes
yes, locked
yes, flexible
Over-commitment risk
none
high
minimal
PROOF

AI teams already saving with Archera

OctoML (AI infrastructure platform for running, tuning, and scaling generative AI models). Heavy GPU workloads and fast-evolving capacity needs meant they needed savings without giving up flexibility. Archera delivered Reserved Instance and Savings Plan level pricing with 30-day commitments.

$520K

average monthly savings

$11.4M

total savings to date

20-days

initial cycle
SECURITY COVERAGE BILLING

Built for GPU-heavy AI workloads

Whether you're training foundation models, running inference at scale, or developing custom silicon workflows, Archera manages commitments across your GPU and accelerator instances on AWS, Azure, and Google Cloud, adapting as you scale up, scale down, or move to next-gen hardware.
H100 / H200
A100
inf2 / trn1
Compute Savings Plans

See what you'd save on GPU

Free savings analysis for your GPU and AI workloads. Connect in minutes.