ASIC kernel offload
Ports deterministic inference kernels to specialized non-CUDA LPUs.
problem it solves
Avoids high CUDA GPU cloud rental costs for fixed deterministic subroutines.
What it does
What it does: Compiles and offloads fixed inference subroutines to non-CUDA ASIC hardware.
What it watches: Model kernel graphs, deterministic execution stages, and ASIC provider availability.
When it triggers: On requests targeting compatible deterministic model operations.
The Action: Dispatches matrix operations to specialized Groq LPUs or Cerebras hardware.
How it recovers: Standard CUDA GPU endpoints serve traffic if ASIC capacity is unavailable.
What we need from you
- Attached Groq or Cerebras accountrequired
Requires API credentials or hardware connection configured in control plane.
- Compatible model architecturerequired
Target model subroutines must compile to LPU/ASIC target.
What each mode does
| Mode | Effect on your request | What you can see |
|---|---|---|
| off | Not consulted. All workloads execute on standard CUDA GPUs. | No asic_offload stage recorded. |
| shadow | Verifies ASIC kernel compilation and measures hypothetical cost delta. | Stage with action=would_offload_asic logged. |
| prod | Routes compiled subroutines to ASIC hardware endpoints. | ASIC tok/s throughput and cost savings logged. |
Current policy
| Supported targets | Groq LPU, Cerebras CS-3 | High-throughput deterministic hardware. |
| Cost efficiency | Up to 5x tokens per dollar | Compared to standard cloud CUDA GPU rental. |
| Latency profile | Ultra-low TTFT (<50ms) | Deterministic SPU/LPU execution. |
Worth knowing before you enable it
- ·Non-standard custom CUDA C++ kernels require porting to ASIC compiler toolchains.
- ·ASIC architectures excel at linear deterministic sequence execution.
- ·Requires provider credentials attached to ACE control plane.
What it replaces
- ·High-cost CUDA GPU cloud rentals for deterministic workloads.
- ·Manual model rewrites for specialized hardware.
- ·Vendor-specific SDK lock-in code.
Dedicated ASIC hardware allocation and custom compiler passes on enterprise.
- ·Custom ASIC compiler optimization passes.
- ·Dedicated LPU hardware rack integration.
- ·Multi-ASIC fallback topology routing.