Raw utilization is not the only objective
A busy fleet can still deliver an unfavorable amount of useful output per unit of power.
Token Factory schedules the GPU fleet against its tokens-per-watt objective.
Synthesis / Layer 2 / JSPINFORGE / A GARMO LABS COMPANY
Token Factory
GPU-fleet scheduling formulated as a QUBO to maximize tokens per watt.
Customer outcomeRun AI more efficiently ↗
THE PRODUCT, IN PRACTICE
Schedule the fleet
for useful output per watt.
Token Factory makes the GPU fleet’s scheduling choices part of an optimization objective: tokens per watt. Its role is distinct from inference request routing, memory placement and sovereign-policy enforcement. A customer measures useful output and power under an accepted quality and service target.
- BUILT FOR
- GPU operators, inference-platform teams and AI infrastructure providers.
CHALLENGES → PRODUCT RESPONSEThe problem you face.
The problem you face.
What the product changes.
YOUR CHALLENGEWITH TOKEN FACTORY
Independent resource choices can conflict
The best choice for one job may not be the best fleet-wide allocation.
The QUBO scheduling formulation evaluates the supported fleet decisions together.
Energy efficiency needs accepted service quality
More tokens are not useful if a schedule misses latency or quality requirements.
Define accepted output, power measurement and service constraints in the evaluation.
WHAT YOU GETA defined capability.
A defined capability.
A useful result.
Fleet scheduling capability
QUBO-based scheduling across the supported GPU environment.
Tokens-per-watt objective
An explicit efficiency objective for the scheduling decision.
A distinct platform role
Complement routing and placement rather than renaming those products.
A measured acceptance scope
Specify power, useful throughput, quality and latency together.
EXAMPLE CUSTOMER WORKFLOW
Compare fleet scheduling policies
An operator wants a scheduling policy assessed by useful token output and power.
Illustrative customer use—not a new benchmark or completed customer deployment.- 01→
Provide supported fleet/workload information and service requirements.
- 02→
Evaluate Token Factory’s schedule under the agreed environment.
- 03→
Compare useful throughput per watt and complete operational cost.
FIT & ACCEPTANCEStart with the task.
Start with the task.
Agree the useful outcome.
- What you bring
- Fleet resources, workloads, power measurements, supported scheduling constraints and service targets.
- What a useful evaluation measures
- +Useful tokens per watt at accepted quality
- +Latency and throughput
- +Scheduling and data-movement overhead
- Delivery
- License the selected capability, commission an implementation, or agree an operated service. Infrastructure and additional engineering are specified separately.
QUESTIONS BEFORE BUYINGA clear scope.
A clear scope.
A clear relationship.
What is the important boundary?−
Maximizing the modeled objective is the product purpose, not a claim of globally optimal production schedules or a guaranteed energy saving on every fleet. No multiplier is supplied in the table.
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.
PRODUCT RELATIONSHIPS
Related, not interchangeable.
SpinRoute
QUBO-based inference routing for supported cache-locality and mixture-of-experts load-balancing workflows.
SpinMem
Optimal data-placement software for memory-bound LLM inference across L2, HBM, CXL and NVMe.
SpinSovereign
Turnkey sovereign-AI infrastructure with supported compliance and placement rules expressed as QUBO constraints.
GridForge
AI compute-fabric planning software that maps workloads against power, cooling, memory, network and silicon resources.
Recursive Engine
The synthesis meta-system through which its eleven products improve one another.
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 connectionsSTART WITH THIS PRODUCT
Use the software directly or ask us to scope the implementation.