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MLRun 1.7 is here! Unlock the power of enhanced LLM monitoring, flexible Docker image deployment, and more.

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AI Blog

MLRun v1.7 Launched — Solidifying Generative AI Implementation and LLM Monitoring

MLRun 1.7 is now available with powerful features for Gen AI implementation, with a special emphasis on LLM monitoring.

By  Gilad Shaham
November 1, 2024
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News Feature store MLOps Data science GPUs Infrastructure Kubernetes ML pipeline automation
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DC/OS Enables Data Center “App Stores”

Containers are getting widely adopted as they simplify the application development and deployment process, the transition into continuous integration with Microservices and Cloud-Native architectures will have significant impact on the businesses agility and competitiveness- They bring the notion of Smartphone Apps to the datacenter. Unfortunately, today there are still gaps, and Cloud-Native implementations require quite...

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Hadoop spark

Re-Structure Ahead in Big Data & Spark

Big Data used to be about storing unstructured data in its raw form – . “Forget about structures and Schema, it will be defined when we read the data”. Big Data has evolved since – The need for Real-Time performance, Data Governance and Higher efficiency is forcing back some structure and context. Traditional Databases have...

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Wanted! A Storage Stack at the speed of NVMe & 3D XPoint

Major changes are happening in storage media hardware – Intel announced a 100X faster storage media, way faster than the current software stack. To make sure the performance benefits are evident, they also provide a new block storage API kit (SPDK) bypassing the traditional stack, so will the current stack become obsolete? Some background on...

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Cloud-Native Will Shake Up Enterprise Storage!

Enterprise IT is on the verge of a revolution, adopting hyper-scale and cloud methodologies such as Micro-services, DevOps and Cloud-Native. As you might expect the immediate reaction is to try and apply the same infrastructure, practices and vendor solutions to the new world, but many solutions and practices are becoming irrelevant, SAN/VSAN and NAS among...

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Hadoop

Architecting BigData for Real Time Analytics

BigData is quite new, yet when we examine the common solutions and deployment practices it seems like we are going backwards in time. Manual processes, patches of glue logic and partial solutions, wasted resources and more … are we back in the 90’s? Can we build it more efficiently to address real-world business challenges? Some Background First...

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