News
- Apr 18, 2024
“There are a lot of opportunities in the AI space,” says Ken Lau, CEO of AI chip startup Neuchips. “If you look at any public data, you will see that AI, in particular, generative AI [GenAI], could be a trillion-dollar market by 2030 timeframe. A lot of money is actually being spent on training today, but the later part of the decade will see investments going to inferencing.”
- Oct 24, 2023
Ken Lau, CEO of Neuchips, shared his views on the AI chip sector in a recent interview with DIGITIMES. He said while Nvidia seemsto be the main supplier of general-purpose GPUs, which are mostly used for AI training, there are more chip choices for AI inference.
- Apr 05, 2023
Taiwanese startup Neuchips showed off Nvidia-beating recommendation (DLRM) power scores. Neuchips’ first chip, RecAccel 3000, is specially designed to accelerate recommendation workloads.
“There are a lot of opportunities in the AI space,” says Ken Lau, CEO of AI chip startup Neuchips. “If you look at any public data, you will see that AI, in particular, generative AI [GenAI], could be a trillion-dollar market by 2030 timeframe. A lot of money is actually being spent on training today, but the later part of the decade will see investments going to inferencing.”
Ken Lau, CEO of Neuchips, shared his views on the AI chip sector in a recent interview with DIGITIMES. He said while Nvidia seemsto be the main supplier of general-purpose GPUs, which are mostly used for AI training, there are more chip choices for AI inference.
Taiwanese startup Neuchips showed off Nvidia-beating recommendation (DLRM) power scores. Neuchips’ first chip, RecAccel 3000, is specially designed to accelerate recommendation workloads.
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.