™
Edge LLM Inference
Sustain token throughput on-device by decompressing weights at line rate and streaming them without stalls.
Drop-in RTL IP for Edge AI
Compute is no longer the bottleneck.
Memory access is.
FlowLogic's programmable dataflow architecture breaks the memory wall for Edge AI inference, delivering:
2×Effective DDR Bandwidth
2×Token/s Throughput
50%Less On-Chip SRAM Required
0Zero Added Latency
Silicon Floorplan
Anatomy of a Memory Wall Breaker
An Edge LLM Accelerator SoC mapped to the silicon bus. Select any block to view details.
■ Floorplan.sch
Rev 4.2 · Top-Level Netlist
J1 · External
External
DDR4/5 Off-Chip
DDR4/5 Off-Chip
MEMORY BUS
BIDIRECTIONAL
Edge LLM SoC Boundary
Array Never Starved
AXI STREAM
DECOMPRESSED
FEED
CTRL
U4 · Sink
NPU ComputeArray Never Starved
DASHED = CONTROL SIGNALS
·
ZOS™ ➜ CONTROLLER & NPU
ZAX™ · Zero-skip ANS eXcelerator
Line-rate AI weight decompression delivers 2× effective memory bandwidth.
IP Portfolio
Nine production-ready RTL IP cores
Applications
Designed for workloads that hit the memory wall first
Automotive & ADAS
Guarantee deterministic data delivery under hard real-time constraints where a missed deadline is a safety event.
Vision & Imaging
Cut off-chip traffic with compressed frame caching for always-on cameras and multi-sensor pipelines.
Data Center Acceleration
Scale memory bandwidth across accelerator fleets with cloud-tuned caching and long-burst scheduling.
Company
A fabless IP company obsessed with effective bandwidth
FlowLogic™ builds the data-movement layer that modern accelerators are missing. Our IP is FPGA-verified, delivered as clean, production-ready RTL, and designed to drop into your bus without touching the compute core.
9Production IP cores
VerifiedClean, deliverable RTL
Drop-inNo compute-core changes
DeterministicGuaranteed data delivery
FAQ
Technical & Deployment FAQs
Common inquiries regarding FlowLogic IP integration and Edge LLM inference optimization.
Where is FlowLogic Semiconductor headquartered and supported?
FlowLogic Semiconductor Limited is headquartered in Hong Kong. We provide APAC and global support for our drop-in RTL IP cores designed for Edge AI and data center memory acceleration.
What is the function of the ZOS™ (Zero-Overhead State-machine) IP?
ZOS™ eliminates branch bubbles and guarantees deterministic NPU execution across the pipeline, ensuring stable control flow for Edge AI accelerators.
How does MtFlow™ improve memory bandwidth?
MtFlow™ is a memory controller enhancement that uses long-burst DDR scheduling to reach up to 90% bus utilization, providing predictable latency for AI workloads.
What is the DMC™ IP core?
DMC™ (Deterministic Memory Controller) guarantees predictable access latency, ensuring that data delivery meets hard real-time constraints in automotive and edge applications.
How does ZAX™ optimize Edge LLM inference?
ZAX™ (Zero-skip ANS eXcelerator) performs line-rate AI weight decompression, effectively doubling DDR bandwidth and sustaining token throughput without stalls.
What role does ActiveCache™ play in SoC architecture?
ActiveCache™ provides zero-jitter streaming FIFOs that keep the NPU compute array continuously fed, eliminating data starvation during inference.
How does FlowCache™ reduce on-chip memory needs?
FlowCache™ uses deterministic SRAM locking to guarantee hit rates on critical tensors, reducing overall on-chip SRAM requirements by up to 50%.
What are the benefits of the LLML Codec™?
The LLML Codec™ provides lossless data compression with bounded, deterministic latency, optimizing internal data flow for advanced compute arrays.
How does CFC™ benefit vision and imaging applications?
CFC™ (Compressed Frame Cache) provides on-chip compressed frame storage to significantly cut off-chip memory traffic in multi-sensor and camera pipelines.
What is CloudCache™ used for?
CloudCache™ is a scale-out caching architecture specifically tuned for data center applications to maximize memory bandwidth across accelerator fleets.