Flex Logix
InferX is

InferX Software makes AI Inference easy, provides more throughput on tough models, costs less, and requires less power.

EasyVision from Flex Logix enables rapid adoption of AI vision in to your applications.
 
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AI Inference Acceleration

Top throughput on tough models.
More throughput for less $ & less watts.

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eFPGA

Accelerate workloads
& make your SoC flexible for changing needs.

eFPGA proven on 6/7, 12, 16, 22, 28, 40 & 180nm.

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Flex Logix™ Technology

PROGRAMMABLE INTERCONNECT

Inference and eFPGA are both data flow architectures. A single inference layer can take over a billion multiply-accumulates. Our Reconfigurable Tensor Processor reconfigures the 64 TPUs and RAM resources to efficiently implement a layer with a full bandwidth, dedicated data path, like an ASIC; then repeats this layer by layer. Flex Logix utilizes a new breakthrough interconnect architecture: less than half the silicon area of traditional mesh interconnect, fewer metal layers, higher utilization and higher performance. The ISSCC 2014 paper detailing this technology won the ISSCC Lewis Winner Award for Outstanding Paper. The interconnect continues to be improved resulting in new patents.

SUPERIOR SCALABILITY

We can easily scale up our Inference and eFPGA architectures to deliver compute capacity of any size. Flex Logix does this using a patented tiling architecture with interconnects at the edge of the tiles that automatically form a larger array of any size.

TIGHTLY COUPLED SRAM AND COMPUTE

SRAM closely couples with our compute tiles using another patented interconnect. Inference efficiency is achieved by closely coupling local SRAM with compute which is 100x more energy efficient than DRAM bandwidth. This interconnect is also useful for many eFPGA applications.

DYNAMIC TENSOR PROCESSOR

Our dynamic tensor processor features 64 one-dimensional tensor processors closely coupled with SRAM. The tensor processors are dynamically reconfigurable during runtime, using our proprietary interconnect, thus enabling implementation of multi-dimensional tensor operations as required for each layer of a neural network model, resulting in high utilization and high throughput.

SOFTWARE

Unlike solutions designed around AI model development and training, our Inference accelerator starts with a trained ML model, typically in ONNX format and generates a program that runs on our InferX accelerators. 

Our eFPGA compiler has been in use by dozens of customers for several years. Software drivers will be available for common Server OS and real time OS for MCUs and FPGAs.

InferX PCI Express and M.2 offerings

The InferX X1 processor is in production and is available now in PCI Express (HHHL), M.2 (M+B key) and chip level offerings.
 

SUPERIOR LOW-POWER DESIGN METHODOLOGY

Flex Logix has numerous architecture and circuit design technologies to deliver the highest throughput at the lowest power.

Featured Articles

Smart Cities Leverage eFPGAs for Smarter Security

Smart Cities Leverage eFPGAs for Smarter Security

The main concern is keeping the smart city systems and their data and functions safe, especially if the system is touching critical infrastructure. This article explains several ways including the flexible low power way by adding eFPGA to the systems. eFPGAs are increasing security and lowering power and cost.

FLEX LOGIX PARTNERS WITH INTRINSIC ID TO SECURE eFPGA PLATFORM

FLEX LOGIX PARTNERS WITH INTRINSIC ID TO SECURE eFPGA PLATFORM

Flex Logix Technologies announced that it has partnered with Intrinsic ID to ensure that any device using its eFPGA remains secure and can’t be modified maliciously, whether through physical attacks or remote hacking.

Using AI to Speed Up Edge Computing

Using AI to Speed Up Edge Computing

AI is being designed into a growing number of chips and systems at the edge, where it is being used to speed up the processing of massive amounts of data, and to reduce power by partitioning and prioritization. That, in turn, allows systems to act upon that data more rapidly.

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