November 02, 2023|News
Taiwan-based Neuchips targets AI inference chip market with energy-effi cientsolutions
Ken Lau, CEO of Neuchips, shared his views on the AI chip sector in a recent interview with DIGITIMES. He said while Nvidia seems to be the main supplier of general-purpose GPUs, which are mostly used for AI training, there are more chip choices for AI inference.
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June 23, 2022|News
Neuchips Tapes Out Recommendation Accelerator for World-Beating Accuracy
[EE TIMES] Taiwanese startup Neuchips has taped out its AI accelerator designed specifically for data center recommendation models. Emulation of the chip suggests it will be the only solution on the market to achieve one million DLRM inferences per Joule of energy (or 20 million inferences per second per 20–Watt chip). The company has already demonstrated that its software can achieve world–beating INT8 DLRM accuracy at 99.97% of FP32 accuracy.
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April 06, 2022|News
MLPerf Results Show Advances in Machine Learning Inference Performance and Efficiency
MLCommons’ latest benchmarks illustrate focus on energy efficiency and up to 3.3X performance gains
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October 24, 2021|News
MLCommons™ Releases MLPerf™ Inference v1.1 Results
Submissions this round included software and hardware innovations from Alibaba, Centaur Technology, cTuning, Dell, EdgeCortix, Fujitsu, FuriosaAI, Gigabyte, HPE, Inspur, Intel, Krai, Lenovo, LTechKorea, Nettrix, Neuchips, NVIDIA, OctoML, Qualcomm Technologies, Inc., and Supermicro
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October 17, 2021|News
MLCommons™ Releases MLPerf™ Inference v1.0 Results with First Power Measurements
Today, MLCommons, an open engineering consortium, released results for MLPerf Inference v1.0, the organization's machine learning inference performance benchmark
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