If an Inference IP supplier or Inference Accelerator Chip supplier offers a benchmark, it is probably ResNet-50. As a result, it might seem logical to use ResNet-50 to compare inference offerings. If ...
Much has been written about the computational complexity of inference acceleration: very large matrix multiplies for fully-connected layers and huge numbers of 3×3 convolutions across megapixel images ...
Today Intel announced a deep learning performance record on image classification workloads. Intel was able to achieve 7878 images per second on ResNet-50 with its latest generation of Intel Xeon ...
There is much at stake in the world of datacenter inference and while the market has not yet decided its winners, there are finally some new metrics in the bucket to aid decision-making. Interpreting ...
Today AI chip startup Groq announced that their new Tensor processor has achieved 21,700 inferences per second (IPS) for ResNet-50 v2 inference. Groq’s level of inference performance exceeds that of ...
Nvidia has claimed performance records with its AI computing platform in the latest round of MLPerf AI inference benchmarks. MLPerf is the industry’s independent benchmark consortium that measures AI ...
It’s important to understand that an inference accelerator is a completely new kind of chip, with many unknowns for the broader market. In our industry, there’s a learning curve for everything, from ...
Artificial Intelligence (AI) has been making headlines over the past few months with the widespread use and speculation about generative AI, such as Chat GPT. However, AI is a broad topic covering ...
Processor hardware for machine learning is in their early stages but it already taking different paths. And that mainly has to do with dichotomy between training and inference. Not only do these two ...
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