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.

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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.

A100Day 0

H100Year 1

H200Year 2

Next-genYear 3

Native 3-year commitment

🔒 Bought on A100, still paying for it two generations later

Archera, terms from 30 days

A100

H100

H200

Next-gen

Locked to one generationMoves with each new card

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. The underlying commitment sits in your own account, and Archera carries the residual risk after your term.

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 training and inference needs change. No one or three-year gamble.

✓

No engineering effort

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

◆

Backed if you switch

Rebate Guarantee returns the cost of what you don’t use, in cash.

1 of 2

Servers

Your monthly bill, by month

Native commitmentPaid for, not usedGuaranteed CommitmentCash back

Illustrative: 10 servers or GPUs on a commitment, 4 spun down in month 7. Guarantee premium not shown.

If you move to next-gen hardware

Rebated in cash

If usage drops or you move to next-gen hardware, the Rebate Guarantee returns the cost of what you don’t use, in cash. Opt into automation policies if you want commitments to adjust as your fleet shifts.

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

$520Kaverage monthly savings

$11.4Mtotal savings to date

20 daysinitial cycle

Proof

AI teams already saving with Archera

OctoML runs, tunes, and scales 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.

See the full story →

Built for GPU-heavy AI workloads

Commitments that adapt as you scale

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.

H100 / H200A100inf2 / trn1Compute Savings Plans

See what you’d save on GPU

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

Schedule a demo Get a savings estimate

GPU rates that keep up with your fleet

GPU generations move faster than a commitment

Short-term commitments, priced against your GPU spend

GPU-fit savings

30-day flexibility

No engineering effort

Backed if you switch

Rebated in cash

How Archera compares

AI teams already saving with Archera

Commitments that adapt as you scale

See what you’d save on GPU

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