Processing resources wait for data
We examine transfer behavior, buffers and control paths against representative workloads.
Specialist engineering / AI
AI accelerator &
DPU engineering.
We design hardware dataflow, RTL and system integration for AI accelerators and DPUs, informed by AI data-center silicon and FPGA development.
Network traffic is classified and queued. Scheduling coordinates compute work, and the memory subsystem transfers payloads and results.
ENGINEERING EXPERIENCE
Our approach connects microarchitecture, RTL, validation and integration. Explore the experience behind Interface Silicon.
When to bring us in
Recognize the engineering challenge.
A data path needs to be implemented
We translate defined transaction flows into scoped control or processing logic.
Traffic interactions create stalls
We investigate backpressure, arbitration and completion behavior across connected components.
A defined engagement
What goes in. What comes out.
Inputs to scope
Workload assumptions, transfer interfaces, data formats, current architecture, existing RTL and the constraints that matter to the system.
Engineering work
Dataflow definition, buffering and arbitration review, scoped RTL development, simulation analysis and integration debugging.
Potential handoff
Dataflow specification, design rationale, agreed implementation changes and analysis identifying bottlenecks and operating assumptions.
Acceptance approach
We agree on data-integrity checks, traffic scenarios and measurement methodology. We establish throughput targets and progress assumptions before assessing results.
DPU-to-accelerator engineering focused on integrity, flow control and utilization.
Explore our project work ↗Direct technical ownership.
We take technical ownership from scoping through handoff. Together, we define milestones, technical reviews and the evidence needed to assess the work. Learn about Ron’s background or the collaboration process.
Define the right engagement
Let’s define the work your design needs.
Tell us about the challenge without sharing confidential details. We agree on scope, deliverables and collaboration requirements with you before work begins.
Prepare your project brief ↗