Flex Logix Technologies, Inc.

Flex Logix Unveils New Architectural Details on Its NMAX Neural Inferencing Engine at the Edge AI Summit Conference
Software

Flex Logix Unveils New Architectural Details on Its NMAX Neural Inferencing Engine at the Edge AI Summit Conference

NMAX provides high inferencing throughput at batch =1 at low cost and power MOUNTAIN VIEW, Calif., Dec. 11, 2018 /PRNewswire/ -- Flex Logix® Technologies, Inc. today announced new information on its NMAX™ neural inferencing engine optimized for edge applications. NMAX provides inferencing throughput from 1 to >100 TOPS with high MAC utilization for batch size of 1, which is a critical...

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EFLX-2.5K FPGA Cores come with high fault coverage DFT enhancements.
Electronic Components & Devices

EFLX-2.5K FPGA Cores come with high fault coverage DFT enhancements.

Designed for TSMC 16FF+ and 16FFC processes, EFLX-2.5K Embedded FPGA Cores enable chips to be easily customizable and upgradeable in-field. Suitable for networking, base station and data center accelerator industries, units can be "arrayed" to build embedded array sizes ranging from 1 x 1 (2.5K LUTs) up to 7 x 7 (122.5K LUTs). Compatible with various metal stacks, unit uses 1.0 mm² area in TSMC...

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Embedded FPGA IP Core for TSMC 16FF+ and 16FFC with reconfigurable RTL.
Materials

Embedded FPGA IP Core for TSMC 16FF+ and 16FFC with reconfigurable RTL.

Performing wide, single-stage logic around 1GHz at worst case PVT conditions, Embedded FPGA IP core for TSMC 16FF+ and 16FFC can be custom-designed for networking, base station and data center. Optimizing high speed control logic with single stage RTL logic, EFLX-100 can be built up from 100 LUTs to 3000 LUTs. Featuring 224 I/O, 6 Input LUTs with core area of 0.05mm2 , unit requires only 5...

Read More »
Flex Logix Unveils New Architectural Details on Its NMAX Neural Inferencing Engine at the Edge AI Summit Conference
Software

Flex Logix Unveils New Architectural Details on Its NMAX Neural Inferencing Engine at the Edge AI Summit Conference

NMAX provides high inferencing throughput at batch =1 at low cost and power MOUNTAIN VIEW, Calif., Dec. 11, 2018 /PRNewswire/ -- Flex Logix® Technologies, Inc. today announced new information on its NMAX™ neural inferencing engine optimized for edge applications. NMAX provides inferencing throughput from 1 to >100 TOPS with high MAC utilization for batch size of 1, which is a critical...

Read More »
Company News

Flex Logix Partners with Quantum Leap Technical Sales to Meet Strong Demand for EFLX Embedded FPGA Throughout North America

MOUNTAIN VIEW, Calif., Aug. 22, 2018 /PRNewswire/ -- Flex Logix® Technologies, Inc. the leading supplier of embedded FPGA (eFPGA) IP, architecture and software, announced today that it has hired Quantum Leap Sales in response to growing demand for its leading eFPGA platform in North America. Already designed in by Harvard, Sandia National Labs, SiFive, HiPer Consortium, DARPA and others not...

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EFLX-2.5K FPGA Cores come with high fault coverage DFT enhancements.
Electronic Components & Devices

EFLX-2.5K FPGA Cores come with high fault coverage DFT enhancements.

Designed for TSMC 16FF+ and 16FFC processes, EFLX-2.5K Embedded FPGA Cores enable chips to be easily customizable and upgradeable in-field. Suitable for networking, base station and data center accelerator industries, units can be "arrayed" to build embedded array sizes ranging from 1 x 1 (2.5K LUTs) up to 7 x 7 (122.5K LUTs). Compatible with various metal stacks, unit uses 1.0 mm² area in TSMC...

Read More »
Embedded FPGA IP Core for TSMC 16FF+ and 16FFC with reconfigurable RTL.
Materials

Embedded FPGA IP Core for TSMC 16FF+ and 16FFC with reconfigurable RTL.

Performing wide, single-stage logic around 1GHz at worst case PVT conditions, Embedded FPGA IP core for TSMC 16FF+ and 16FFC can be custom-designed for networking, base station and data center. Optimizing high speed control logic with single stage RTL logic, EFLX-100 can be built up from 100 LUTs to 3000 LUTs. Featuring 224 I/O, 6 Input LUTs with core area of 0.05mm2 , unit requires only 5...

Read More »

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