PLATFORM
HETEROGENEOUS HYBRID COMPUTE
Solve hard workloads by routing the right parts to the right compute (across quantum, quantum-inspired, HPC, and classical compute) within one platform. You define goals and constraints; the platform produces an executable plan and executes it with measurable outcomes.
THE PROBLEM
Real workloads don't have one "best" solution path.
Modern technical workloads (planning, scheduling, resource allocation, complex simulation pipelines, and ML-adjacent decisioning) rarely have a single best solver or a single best machine.
Most teams end up choosing tools and hardware too early, then spending significant time integrating, rewriting, and revalidating when requirements change.
Heterogeneous Hybrid Compute is designed for the reality that the best solution is often a portfolio of methods executed across different compute targets.
The best approach depends on:
- How the problem is formulated
- What approximations are acceptable
- Cost and latency requirements
- Available compute resources
- The quality of results you can verify
DEFINITION
What is Heterogeneous Hybrid Compute?
Heterogeneous Hybrid Compute is Strangeworks' approach to running complex workloads by breaking a problem into executable parts and routing each part to the most appropriate mix of software and compute resources, all managed through one orchestration layer.
What "Hybrid" Means
Solutions are produced by combining multiple methods or stages, rather than betting on one solver. One method may generate candidates, another refines them, and a third validates or scores them.
What "Heterogeneous" Means
Methods can execute across different backends (quantum, quantum-inspired, HPC, and classical) unified behind one platform. Heterogeneity at the workflow and execution level, not just at the chip level.
END-TO-END LIFECYCLE
How It Works
You stay in control throughout the process. The platform provides tools that make each step faster and easier.
Specify goals and constraints
Define what 'good' means: objectives and constraints, inputs and data boundaries, cost/latency targets, acceptable approximation/error, and governance requirements.
Decompose the problem
Break your work into parts that can be solved or evaluated independently. The platform helps you identify natural boundaries and explore approaches in parallel.
Formulate into executable representations
Translate your problem definitions into the forms that specific methods or solvers require. Many hard problems can be represented in multiple ways.
Execute across a compute portfolio
Route your work across available backends (quantum, quantum-inspired, HPC, and classical compute). You control where work runs based on your requirements.
Evaluate, compare, and iterate
Review results with consistent metrics, see tradeoffs clearly, and refine your approach. Adjust formulations, reroute execution, or re-run with different budgets.
PLATFORM
Building Blocks You Can Compose
HHC is not a single solver. It's a system of first-party components, algorithms, libraries, and SDKs that you can compose and build with.
Workflows
Translate user intent into structured problem specifications and executable plans, including AI-assisted steps.
Algorithms
First-party components you can combine: algorithms, transforms, evaluators, and adapters for execution pipelines.
Integrations
Incorporate third-party tools and applications already used by your team, plus bespoke customer applications.
COMPUTE BACKENDS
One place for diverse execution targets
Access quantum, quantum-inspired, HPC, and classical compute through a unified interface.
Classical Compute
CPU, GPU, and accelerated classical solvers. Mixed-integer programming, constraint satisfaction, metaheuristics.
Quantum-Inspired
Tensor network methods, digital annealers, coherent Ising machines. Specialized classical approaches.
Quantum
Gate-based quantum computers, quantum annealers, neutral atom systems. QPU access when appropriate.
Cloud Access via Strangeworks Compute
Seamlessly integrate through Strangeworks Compute. Scale resources automatically with problem size.
DIFFERENTIATION
Why This Is Different
Everything in one place, focused on the problem and the solution, not the hardware.
Problem-Focused
Start with your problem and constraints, not with choosing hardware. The platform shows you viable execution paths.
Solution-Focused
Route your work to the best available compute for each part of your problem with tools that simplify the process.
All In One Place
Unified platform for all execution targets. Take advantage of new compute options without rewriting pipelines.
TRUST & DEFENSIBILITY
How to Think About Quantum Here
Quantum isn't the right choice for most problems today. But with HHC, you can test the waters by running decomposed problems against quantum and quantum-inspired backends alongside classical methods.
This ensures you're positioned to take advantage of quantum computing the moment it becomes practical for your workload.
- Quantum is one execution target, not the default choice
- Results are evaluated objectively against classical baselines
- Most workloads today will get better results from quantum-inspired or classical methods
- You're ready when quantum crosses the practicality threshold for your problem
FAQ
Frequently Asked Questions
Is this just heterogeneous CPU/GPU scheduling?
No. Traditional heterogeneous computing focuses on mapping low-level kernels across devices. HHC gives you tools for problem decomposition, method selection, and execution across solver/toolchain/backends within one unified platform.
Do I need expertise in quantum or specialized hardware?
Quantum and specialized hardware do require expertise. The platform makes it easier to experiment and learn, and our team can guide you through the parts that need deeper knowledge.
Does this replace my existing tools?
Usually it complements them. HHC can integrate with tools you already use. Sometimes tools can be added directly into the platform. In some cases, HHC may provide better alternatives.
How do I decide what runs where?
You make the final call, but the platform helps. It shows you feasibility checks, cost and latency tradeoffs, and recommendations based on your constraints.
Ready to see Heterogeneous Hybrid Compute in action?
If you have a workload with real constraints (cost, latency, quality, governance), we'll show you how HHC makes it easier to decompose problems, select methods, and run execution pipelines.