Remove Metrics Remove Open Source Remove Scalability
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Fast, Cheap, Scalable: Open-Source LLM Inference with Spark NLP

John Snow Labs

Learn how the open-source Spark NLP library provides optimized and scalable LLM inference for high-volume text and image processing pipelines. We will show live code examples and benchmarks comparing Spark NLP’s performance and cost-effectiveness against both commercial APIs and other open-source solutions.

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8 open source companies from YC Demo Day Winter ’22

TechCrunch

Wicked fast VPNs, data organization tools, auto-generated videos to spice up your company’s Instagram stories … Y Combinator’s Winter 2022 open source founders have some interesting ideas up their sleeves. And since they’re open source, some of these companies will let you join in on the fun of collaboration too.

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How to build a safe path to AI in Healthcare

CIO

Some important steps that need to be taken to monitor and address these issues include specific communication and documentation regarding GenAI usage parameters, real-time input and output logging, and consistent evaluation against performance metrics and benchmarks.

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Deploy and Scale AI Applications With Cloudera AI Inference Service

Cloudera

This service supports a range of optimized AI models, enabling seamless and scalable AI inference. Our approach provides accelerated, scalable, and efficient infrastructure along with enterprise-grade security and governance. The Cloudera AI Inference service also offers exceptional scalability and flexibility.

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Mastering Prometheus: Unlocking Actionable Insights and Enhanced Monitoring in Kubernetes Environments

Dzone - DevOps

Kubernetes, the de-facto orchestration platform, offers scalability and agility. Prometheus, a powerful open-source monitoring system, emerges as a perfect fit for this role, especially when integrated with Kubernetes. In the dynamic world of cloud-native technologies, monitoring and observability have become indispensable.

Metrics 84
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DevOps top programming languages support engineering metrics goals

CircleCI

Each year we examine workflow data to illustrate how teams on our platform perform relative to four key metrics: Duration : The length of time it takes a workflow to run. Using this data, we can determine the habits and practices that lead to DevOps success so we can share these learnings and benchmarks with the community.

Metrics 64
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Materialize scores $40 million investment for SQL streaming database

TechCrunch

Materialize , the SQL streaming database startup built on top of the open source Timely Dataflow project, announced a $32 million Series B investment today led by Kleiner Perkins with participation from Lightspeed Ventures. Series D as scalable database resonates. Cockroach Labs scores $86.6M