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Neural Schedule

Learned temperature schedules for annealing through a Fourier neural operator.

Conceptual product artwork for Neural Schedule, not physical hardware
Conceptual product artworkDrag to explore ↔
Customer outcomeDesign and discover

THE PRODUCT, IN PRACTICE

Learn the schedule.
Evaluate the search.

The schedule used by an annealing run influences how it explores a problem. Neural Schedule learns temperature schedules rather than relying only on manually selected heuristics. Its README describes a Fourier neural operator and makes a learned-versus-heuristic claim; a customer comparison retains the original workload and budget.

BUILT FOR
Optimization teams exploring learned control of annealing schedules.
CHALLENGES → PRODUCT RESPONSE

The problem you face.
What the product changes.

YOUR CHALLENGEWITH NEURAL SCHEDULE
01

One schedule may not suit every workload

Hand-selected temperature schedules can become another set of settings to tune.

Neural Schedule learns the schedule used in the supported annealing workflow.

02

Training gains need a useful comparison

A stronger result on development inputs need not carry to new inputs.

Evaluate the learned schedule against the accepted heuristic under the same task and budget.

03

Schedule quality is not the whole run

Training, inference and search contribute to the complete operating cost.

Compare the accepted result and total cost rather than reporting only the schedule-generation step.

WHAT YOU GET

A defined capability.
A useful result.

01

Learned temperature schedules

A schedule-learning product built around an FNO.

02

An annealing control component

Use the learned schedule in its supported optimization workflow.

03

Heuristic comparison scope

Define the inputs and reference schedule used in acceptance.

04

A repeatable evaluation

Retain the task, budget and appropriate result checks in the customer engagement.

EXAMPLE CUSTOMER WORKFLOW

Compare schedules on a problem family

A team uses repeated annealing runs and wants to evaluate learned schedules.

Illustrative customer use—not a new benchmark or completed customer deployment.
  1. 01→

    Agree training and evaluation inputs and the reference heuristic.

  2. 02→

    Run the supported learned-schedule workflow.

  3. 03→

    Compare held-out quality, compute and checking cost.

FIT & ACCEPTANCE

Start with the task.
Agree the useful outcome.

What you bring
The supported problem family, schedule-training inputs, reference heuristic and run budget.
What a useful evaluation measures
  • +Accepted objective or task quality
  • +Held-out comparison at matched budget
  • +Full training and inference overhead
Delivery
License the selected capability, commission an implementation, or agree an operated service. Infrastructure and additional engineering are specified separately.
QUESTIONS BEFORE BUYING

A clear scope.
A clear relationship.

What is the important boundary?−

“Learned > heuristic” is the README’s claim; no general performance multiplier or cross-domain superiority is asserted here. A learned schedule does not supply an optimality certificate by itself.

How is it priced?+

No new standalone price is supplied for this product; request a scoped proposal. The platform plans buy qualified workflows and capacity, not a second charge every time a compatible method is selected. Existing bundle inclusions do not expand automatically.

How do we get access?+

An existing product in the SpinForge portfolio. Request the release, available invocation interfaces and setup for your selected workflow; this publication does not invent executable commands or MCP tool names.

PUT THE PRODUCT TO WORK

Tell us what needs to improve.

Bring a task, an accepted outcome and the environment in which the product needs to work.

Discuss this workflow ↗
PRODUCT RELATIONSHIPS

Related, not interchangeable.

ONE PLATFORM

Choose a qualified workflow.

Select the capability you need directly or include its compatible role in a qualified platform workflow. Production scope identifies release, environment, capacity and support; a product count is not an entitlement.

Explore monthly plans See the system connections
START WITH THIS PRODUCT

Use the software directly or ask us to scope the implementation.

YOUR NEXT MOVELET’S MAKE IT COUNT

Put it
to work.

One capability. A connected workflow.
A team to put it into practice.

patrick@garmolabs.com

FIND YOUR CAPABILITY