Intelligent Systems
More computation from the infrastructure you already run.
AI is driving compute demand faster than power, chips, and data-center capacity can follow. SPARK's deterministic computing engine is engineered as a software co-processor, built to increase what existing infrastructure delivers for compute-intensive workloads, without new hardware.
Solutions
- 01Workload evaluation
- 02Integration pilot
- 03Storage efficiency study
Focus areas
- 01Compute-intensive workload acceleration
- 02Drop-in software co-processing
- 03Energy per computation
- 04Data compression and storage efficiency
- 05Deterministic, repeatable results
Why it matters
Data Centers & AI Compute
Every new AI model raises demand for power, chips, and floor space. Getting more from the infrastructure already in place is the fastest capacity there is.
Built for
- Data-center operators
- Cloud and AI infrastructure providers
- High-performance computing centers
- Enterprise IT and research computing
Applications
- AI and scientific workloads
- Data center and cloud optimization
- Storage and transfer efficiency
- High-performance computing
Solutions
How SPARK helps.
Every engagement is scoped to your question, your data, and the decision it supports.
- 01
Workload evaluation
Benchmark SSC on a workload you define, against your current baseline, under NDA.
- 02
Integration pilot
Run SSC through a standard interface inside an existing pipeline and measure throughput, energy, and accuracy.
- 03
Storage efficiency study
Assess data-representation gains for a defined storage or transfer workload.
Next step
Put SPARK on your hardest problem.
Tell us what you need to know and the data you have. We'll scope the fastest path to a decision-ready answer, under NDA where required.