kazuhm
@Kazuhm_Co
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Unify all compute resources - desktops, servers, cloud, Edge - to optimize containerized workloads, reduce costs, improve latency, and enhance security.
San Diego, CA
Joined May 2017
We're happy to announce our partnership with @OpenDrives to power high-performance, provide low-cost storage and #compute. https://t.co/FXSIwdr59f
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This week's blog from CMO, Katherine Paulson provides her perspective on disrupting #hedgefund #marketing why it's on the verge, and the impact of #regulations on the financial industry. #emergingfunds #rule506c #emergingmarketing
https://t.co/MdyzEIXv5J
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Enable on-demand compute and storage for #research and educational purposes activating and unifying “secondary use” compute and storage from campus IT assets @SDSC_UCSD Virtual event date: Sept. 9 @ 9:00 am - 10:00 am https://t.co/CJw3ss8nSt
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The Future of #DistributedComputing Is Here - Dr. Larry Smarr interviews with @Datanami: Now you can unify compute across device types (#desktops, laptops, #servers, and #IoT) and OS (#Linux, #Windows, and #Mac) to power #containers and #AI #ML #DL
https://t.co/btplTvRd0H
hpcwire.com
Larry Smarr may have stepped back from full-time work in the Computer Science and Engineering Department at the University of California, San Diego, but that doesn’t mean he’s slowing down. […]
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Dr. Larry Smarr, #DistributedComputing Pioneer, Joins Kazuhm As Technology Evangelist His mission: educate the modern #CIO and #enterprise on the power inside their existing #onpremise hardware to battle the growing need for cost-efficient #compute. https://t.co/E746ebZCuT
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AI and #MachineLearning Assists Radiologist in Tumor Diagnosis A compelling story about a woman whose #mammogram was submitted for review through @CureMetrix's #AI-enabled #mammography analysis tool. Great example of #deeplearning in #healthcare. https://t.co/NV3G7Bs7gm
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Kazuhm re-defining computing technology for #AI and #machinelearning workloads. Companies can now harness together underutilized desktops, laptops, servers, tablets to power their #analytics #AI #ML #deeplearning workloads. Saving enterprises 7 figures on cloud bills.
Should You Train #AI Workloads in the #Cloud or On-Premise? Kazuhm answers, "Why not both?" Maximize your underused #hardware and achieve massive cost-efficient computing power for use in #machinelearning #analytics and #datascience. https://t.co/PIPn45yul7
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Should You Train #AI Workloads in the #Cloud or On-Premise? Kazuhm answers, "Why not both?" Maximize your underused #hardware and achieve massive cost-efficient computing power for use in #machinelearning #analytics and #datascience. https://t.co/PIPn45yul7
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How to Reduce AI Computing Costs 1. Crunch the numbers early. 2. Capture low-hanging fruit. 3. Consider #hybrid or on-premise processing. https://t.co/MybNaahORg Kazuhm helps #AI / #ML / #DS teams train models faster and cheaper through simple #DistributedComputing.
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When to Choose Local Compute Over Cloud for #DeepLearning Great article on pros and cons of each. #AI and #machinelearning teams in 2020 use Kazuhm to avoid this issue entirely. Kazuhm offers a scalable, #OnDemandComputing tool to train #ML models. https://t.co/rzN9wRoFwU
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What is distributed computing and what's driving its adoption? #Distributedcomputing can help organizations parallelize their IT #workloads in ways that lead to greater performance and lower costs when compared to a centralized approach. https://t.co/FHynz3K99x
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9 Tips on #ElasticSearch Configuration for High Performance Useful tips: https://t.co/1sPKz9pfrr Also, check out Kazuhm for faster #ELK #kibana #logstash performance. #SIEM #loganalytics #beats
loggly.com
This post is a checklist for optimizing configuration to deliver maximum ElasticSearch performance based on lessons we learned with our log management tool.
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Better #ElasticStack (#ELK) Performance at 30% the Cost Save up to 70% on costs for #elasticsearch #kibana #logstash by running ELK over Kazuhm - the first-ever #SaaS #DistributedComputing platform. Try now for free: https://t.co/Cb6XHsWdid
#gridcomputing #boinc #seti #grid
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30% of #Cloud Spending Wasted, But Still Accelerates ^ Mind-blowing stat. Try using Kazuhm to unify desktops, servers, and clouds into a powerful computing grid to run containerized #apps + save 90% vs cloud https://t.co/PYTqYxZ10d
#Devops try here:
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Deploy Over 100,000 #Docker Apps Over the Kazuhm #DistributedComputing Platform Bring your own #DockerCompose app, or any app in #DockerHub, and quickly and easily deploy over any combo of desktops, servers, and cloud resources. Save 90% on cloud costs. https://t.co/w1vXcuPuT2
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The True Cost of the #ELK Stack Hint: it's high. https://t.co/bWtRSJCRBX Smart enterprises in 2020 run the #Elastic Stack (#elasticsearch, #logstash, #kibana) using Kazuhm's enterprise-grade distributed computing platform to save 70% vs #elasticcloud
https://t.co/AnxHXUXHuK
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4 Easy Ways to Speed Up Blender Cycles Kazuhm enables #Blender #B3D users to unify existing compute resources such as desktops+servers + clouds to build a powerful rendering environment. Stop waiting for #rendering jobs - go #design. https://t.co/PtS2M4gGBZ
#animation #3dart
blenderguru.com
Discover how to quickly speed up rendering in Cycles using these easy, tried and true methods.
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Kazuhm offers point-and-click unification of desktops, laptops, servers to create your very own render farm! Accelerate #animation #3ddesign projects #blender #b3d #gamedesign #3d
Build your own render farm over commodity desktops, servers, laptops! #b3d #rendering #animation #3danimation #blender #gamedesign #indiegamedev #gamedevelopment
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A Business Leader's Guide to #ComputerVision Projects Pt: 2 of a series on computer vision #AI project management. Best practices for success in training #machinelearning models, evaluating performance, and deploying #deeplearning in the enterprise. #DL
https://t.co/34yiqInZgz
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How to Build Your Own Render Farm Kazuhm unifies desktops, servers, and clouds to build a cost-efficient #RenderFarm. Drag + drop compute resources into #Blender to accelerate #rendering jobs + reduce downtime in #3Ddesign #animation projects. #B3D
https://t.co/NtXqhSaDPX
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