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Manish Harsh retweeted
Learn about how applying the principles of data science can enhance the performance of your #ML models while improving the efficiency of the development process. Join us at the MLOps - Data as the Key to #AI event on August 10th, 12pm CST. Register now. nvda.ws/3KvgQnt
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Great learning, thanks @Barbara_iot team!
Great learning, thanks @Barbara_iot team!
Join us at #GTC23 and explore the next frontier of scaling #AI and #ML in the enterprise. I invite you to Register! bit.ly/3mXNK7a
Think #MLOps first. At #GTC23 register for our panel session, How to Develop AI Workflows and MLOps Infrastructure at Scale, featuring leading MLOps solution providers for a full-stack approach to accelerated AI. bit.ly/3l9Fa51
NVIDIA GTC 2023, Great learning packed with NVIDIA’s Partners and Experts on #MLOps and AI Platforms. register.nvidia.com/events/widget/…
Manish Harsh retweeted
88% of CEOs will maintain or accelerate digital pace in 2022 and beyond #gartneriocs
#RIP KathleenBooth, Respect for the fundamental contribution to the technology. theregister.com/2022/10/29/kat…
Manish Harsh retweeted
#AI at the edge: 5 trends to watch 1. Separating AI from the cloud 2. #Machinelearning ops 3. Specialized chips 4. New use cases and capabilities for computer vision 5. Increased growth of AI on #5G tek.io/3BtnoxH #artificialintelligence #MLOps
Heading to my session starting in 2hrs at @VMwareExplore #sf. We will share our learnings, recommendations and discuss successful recipes of how modern IT drives AI initiatives. @NVIDIADC @NVIDIAAIDev @VMware @DominoDataLab
Our team brings "MLOps Solutions Day" at #GTC22! Inviting you to connect and learn about real world use cases and best practices on deploying #AI across the #MLOPs lifecycle directly from industry experts and our core partners. nvda.ws/3HUiESY
Manish Harsh retweeted
🔮 The future of ML and MLOps In this episode of Gradient Dissent, @l2k and @nvidia's CEO Jensen Huang talk about: 🖥 Developing GPUs for deep learning 🧠 Omniverse & the next phase of AI 🏭 Why ML at scale is an "intelligence factory" (👇 More below) youtu.be/kcI3OwQsBJQ
Manish Harsh retweeted
Our new #NVDLI course covers an introduction to MLOps, coupled with hands-on practice on a live NVIDIA Triton Inference Server. Learn more and enroll: nvda.ws/359dUeF
👍, benchmarks are getting higher and higher for AI Infrastructure.
👍, benchmarks are getting higher and higher for AI Infrastructure.
Manish Harsh retweeted
Energy is contagious. So is leadership. Thx to @IMAIndiaOrg for recognizing my dad's efforts as the 'Best National Office Bearer'. From taking @MoHFW_INDIA's 1st #CovidVaccine for public confidence to educating teams, he is relentlessly working - every single day. #GivingBack
Happy Holidays!! Wishing everyone a full re-charge and hope you make 2022 the best year for yourself. #HappyHolidays #NewProfilePic
Future Apps, Hungry for Scale: 20X Peak Data Rate (Gb/S) 10X User Experience Data Rate (Mb/S) 3X Spectrum Efficiency 2X Mobility (Km/hr) 10X Less Latency (ms) 10X Connection Density (Devices/km2 ) 100X Network Energy Efficiency manishharsh.substack.com/p/edge-computi…
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