https://teapawt.net/t.co/SXq9Z49sGS
California, USA
Joined May 2008
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Check out my latest article: Your Price Per GPU-Hour Is Not Your AI Bill linkedin.com/pulse/your-pric… via @LinkedIn
Manish Harsh retweeted
The United States 🇺🇸 Department of Energy announced a bunch of companies that are a part of the Genesis Mission
"National Mission to Accelerate Science Through Artificial Intelligence"
The initiative includes:
NVIDIA
xAI
Google
OpenAI
Amazon Web Services
Microsoft
Palantir
AMD
Oracle
Intel
Anthropic
IBM
Accenture
Armada
Cerebras
CoreWeave
Dell
DrivenData
Groq
Hewlett Packard Enterprise
Periodic Labs
Project Prometheus
Radical AI
XPRIZE
Goal:
"Genesis Mission will develop an integrated platform that connects the world's best supercomputers, experimental facilities, AI systems, and unique datasets across every major scientific domain to double the productivity and impact of American research and innovation within a decade"
Been a busy 1st month at DataRobot — amazing to see how Predictive, Generative Apps and Agentic AI Agents orchestration moving to real production.
Our Telecom customers/partners leading the race and leveraging their muscle power to infuse AI. Primarily for:
• Smarter network optimization
• AI-assisted field ops
• Customer service automation
#TelcoAI #AIAdoption #Datarobot #telecoms #unifiedcontrolplane for AI Infrastructure
Reference: datarobot.com/platform
Moment to remember with the legend Kapil Dev, fanboy here. How lucky to bump in him at my home turf Silicon Valley, California
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
Great learning, thanks @Barbara_Iot team!
Just finished moderating the "Cutting EDGE of MLOPs" Panel organized by @Barbara_Iot.
Tons of knowledge & plenty more to be covered!
Videos will come out soon of @OwkinScience @getmodzy @seldon_io @apheris_AI @picsellia @nvidia @HPE in the meantime enjoy art from @ardiluzu
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/w… – at San Jose, CA
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/k…
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 – at San Francisco, CA
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.
. @Meta research is powered by a super-cluster comprised of 760 @nvidia DGX A100 systems today, and growing! It's one of many large-scale DGX infrastructure deployments in enterprises around the globe. #AI #machinelearning #datascience #cloud blogs.nvidia.com/blog/2022/0…
