AI Chips: NPU vs. TPU

NPUs and TPUs Neural processing units (NPUs) and tensor processing units (TPUs) are specialized hardware accelerators that are designed to accelerate machine learning and artificial intelligence (AI) workloads. NPUs and TPUs are optimized for the mathematical operations that are commonly

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ML Pipeline Tools: Argo Workflows and Kubeflow

ML Pipeline A machine learning (ML) pipeline is a series of steps to build, train, and deploy machine learning models. An ML pipeline typically includes preprocessing data, training models, evaluating models, and deploying models for use in production. ML workflow

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Spell MLOps Platform Automates AI Experiment Reproduction

Spell, a NY-based startup has developed an innovative MLOps (machine learning operations) platform for the SMB market. Organizations can run ML experiments and workloads cost-effectively using features that fully automate the entire process. The platform leverages the latest in GPU

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Distributed Machine Learning with Run.ai

The AI industry is making progress at simplifying distributed machine learning, defined as the process of scheduling AI workloads across multiple GPUs and machines (nodes). One of the primary benefits of distributed machine learning is its ability to reduce model

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Latent AI Introduces Edge AI Platform

In 2020, it’s predicted that each person on earth will create 1.7MB/second (147GB/day) of data. ARM believes that 1 trillion IoT devices “will be produced between now and 2035” with some of these devices lasting a short time, while others

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Groq AI Chip Breaks Single-Chip Performance Record

The number of startups entering the AI chip market is growing considerably. Although there are dozens of startups developing specialized chips for machine learning, some startups really stand out. One such startup is Groq. And they stand out not only

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Cool AI Startups: AnotherBrain and OWKIN

The AI race in different regions of the world continues. The US leads in both quantitative and qualitative metrics, where quantitative is measured in the number of startups and qualitative is based on a value system that assigns points to

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DotData Eases Feature Engineering with AutoML 2.0

DotData, an AI startup spun off from NEC recently raised $23M, and $43M in total. The startup has experienced a 300% revenue growth over the last 18 months. They describe their service as an “end-to-end data science automation” platform, offering

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Habana Labs AI Processor Outperforms GPUs

Habana Labs, an innovative startup has developed an AI processor designed specifically to run deep neural networks (DNN). The software-programmable processor is available as a PCIe card and mezzanine card. The AI processor works for both training models and inference

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