Manish Harsh

[Manish Harsh @manishharsh]

Check out my latest article: Your Price Per GPU-Hour Is Not Your AI Bill https://t.co/pWlVfBswOq via @LinkedIn

[Evan @StockMKTNewz]

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"

[Manish Harsh @manishharsh]

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: https://t.co/vFnVO6ipMU

[Manish Harsh @manishharsh]

@therealkapildev

[Manish Harsh @manishharsh]

Moment to remember with the legend Kapil Dev, fanboy here. How lucky to bump in him at my home turf Silicon Valley, California

[NVIDIA AI Infrastructure @NVIDIAAIInfra]

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. https://t.co/YEDkYqqmgj

[Manish Harsh @manishharsh]

Great learning, thanks @Barbara_Iot team!

[Bart Farrell @birthmarkbart]

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

[Manish Harsh @manishharsh]

Join us at #GTC23 and explore the next frontier of scaling #AI and #ML in the enterprise. I invite you to Register! https://t.co/QDzfHHKLMa

[Manish Harsh @manishharsh]

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. https://t.co/TaYoQp1RRM

[Manish Harsh @manishharsh]

NVIDIA GTC 2023, Great learning packed with NVIDIA’s Partners and Experts on #MLOps and AI Platforms. https://t.co/KfkdtN9IK2

[Tony Paikeday @TonyPaikeday]

88% of CEOs will maintain or accelerate digital pace in 2022 and beyond #gartneriocs

[Manish Harsh @manishharsh]

#RIP KathleenBooth, Respect for the fundamental contribution to the technology.
https://t.co/mgQ2MWUJ0q

[Bob E. Hayes @bobehayes]

#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

https://t.co/MMp8U86XoO

#artificialintelligence #MLOps

[Manish Harsh @manishharsh]

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

[Manish Harsh @manishharsh]

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. https://t.co/WFmRHyY8QI

[Manish Harsh @manishharsh]

https://t.co/s1w9BNLLUE

[Weights & Biases @wandb]

🔮 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)

https://t.co/8sQAKiD3YW

[Manish Harsh @manishharsh]

@wandb @l2k @nvidia Great learning, #MLOps is the key to building AI platforms for production grade applications and at Scale.

[NVIDIA Europe @NVIDIAEU]

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: https://t.co/CuezLmhrNP