Crypto Flexs
  • DIRECTORY
  • CRYPTO
    • ETHEREUM
    • BITCOIN
    • ALTCOIN
  • BLOCKCHAIN
  • EXCHANGE
  • TRADING
  • SUBMIT
Crypto Flexs
  • DIRECTORY
  • CRYPTO
    • ETHEREUM
    • BITCOIN
    • ALTCOIN
  • BLOCKCHAIN
  • EXCHANGE
  • TRADING
  • SUBMIT
Crypto Flexs
Home»ADOPTION NEWS»Powering AI Inference with NVIDIA NIM and Google Kubernetes Engine
ADOPTION NEWS

Powering AI Inference with NVIDIA NIM and Google Kubernetes Engine

By Crypto FlexsOctober 16, 20243 Mins Read
Facebook Twitter Pinterest LinkedIn Tumblr Email
Powering AI Inference with NVIDIA NIM and Google Kubernetes Engine
Share
Facebook Twitter LinkedIn Pinterest Email

Ted Hisokawa
October 16, 2024 19:53

NVIDIA is working with Google Cloud to integrate NVIDIA NIM with Google Kubernetes Engine and deliver scalable AI inference solutions through Google Cloud Marketplace.





Rapid advancements in artificial intelligence (AI) models are driving the need for more efficient and scalable inference solutions. In response, NVIDIA has partnered with Google Cloud to offer NVIDIA NIM on Google Kubernetes Engine (GKE) with the goal of accelerating AI inference and simplifying deployment through Google Cloud Marketplace.

NVIDIA NIM and GKE integration

NVIDIA NIM, a component of the NVIDIA AI Enterprise software platform, is designed to facilitate secure and reliable AI model inference. You can scalably deploy containerized applications on Google Cloud infrastructure through integration with GKE, a managed Kubernetes service now available in Google Cloud Marketplace.

NVIDIA’s collaboration with Google Cloud offers several benefits to companies aiming to enhance their AI capabilities. Integrations simplify deployment with one-click functionality, support a wide range of AI models, and ensure high-performance inference through technologies such as NVIDIA Triton Inference Server and TensorRT. Organizations can also leverage NVIDIA GPU instances on Google Cloud, such as the NVIDIA H100 and A100, to meet a variety of performance and cost requirements.

Steps to deploy NVIDIA NIM on GKE

Deploying NVIDIA NIM on GKE requires several steps, starting with accessing the platform through the Google Cloud console. Users can initiate deployment, configure platform settings, select GPU instances, and select the desired AI model. The deployment process typically takes 15-20 minutes, after which users can connect to their GKE cluster and start running inference requests.

The platform also supports seamless integration with existing AI applications by leveraging standard APIs to minimize redevelopment needs. The platform’s scalability capabilities allow businesses to handle different levels of demand and optimize resource usage accordingly.

Benefits of NVIDIA NIM on GKE

NVIDIA NIM on GKE provides a powerful solution for enterprises looking to accelerate AI inference. Key benefits include easy deployment, flexible model support, and efficient performance through accelerated compute options. The platform also provides enterprise-grade security, reliability, and scalability to secure AI workloads and ensure they can meet dynamic demand levels.

Additionally, the availability of NVIDIA NIM in Google Cloud Marketplace simplifies procurement, allowing organizations to quickly access and deploy the platform as needed.

conclusion

By integrating NVIDIA NIM with GKE, NVIDIA and Google Cloud provide enterprises with the tools and infrastructure they need to drive AI innovation. This collaboration helps organizations deliver impactful AI solutions by advancing AI capabilities, simplifying deployment processes, and enabling high-performance AI inference at scale.

Image source: Shutterstock


Share. Facebook Twitter Pinterest LinkedIn Tumblr Email

Related Posts

Crypto Exchange Rollish is expanded to 20 by NY approved.

October 2, 2025

SOL Leverage Longs Jump Ship, is it $ 200 next?

September 24, 2025

Bitcoin Treasury Firm Strive adds an industry veterans and starts a new $ 950 million capital initiative.

September 16, 2025
Add A Comment

Comments are closed.

Recent Posts

Will Solana price fall to $170 once it gets close to the important support level?

October 16, 2025

Crypto Market Rebound, L2 Surge and ZEC Shock: Daily Insights

October 16, 2025

ZBCN is tradable!

October 15, 2025

Analysts expect a breakout of $135 as ETF approval buzz grows.

October 15, 2025

Chinese woman pleads guilty ahead of trial in $7 billion British Bitcoin fraud case

October 15, 2025

XMoney Launches $XMN On Sui, Expands Listings Across Global Exchanges

October 15, 2025

ZNB) STRENGTHENS BALANCE SHEET WITH USD 231 MILLION BITCOIN-BACKED INVESTMENT AMID MARKET TURBULENCE

October 15, 2025

XRP price falls 6% as market crash causes whales to flee

October 15, 2025

US government holds $36 billion in Bitcoin after largest confiscation in history

October 15, 2025

Decoding City Protocol’s IP Capital Market

October 14, 2025

Tria Raises $12M To Be The Leading Self-custodial Neobank And Payments Infrastructure For Humans And AI.

October 14, 2025

Crypto Flexs is a Professional Cryptocurrency News Platform. Here we will provide you only interesting content, which you will like very much. We’re dedicated to providing you the best of Cryptocurrency. We hope you enjoy our Cryptocurrency News as much as we enjoy offering them to you.

Contact Us : Partner(@)Cryptoflexs.com

Top Insights

Will Solana price fall to $170 once it gets close to the important support level?

October 16, 2025

Crypto Market Rebound, L2 Surge and ZEC Shock: Daily Insights

October 16, 2025

ZBCN is tradable!

October 15, 2025
Most Popular

Binance-backed Gopax exchange shrinks net loss, records 97% year-on-year revenue growth in 2023

April 13, 2024

Cryptocurrency liquidation rises to $500 million as prices of major tokens plummet.

April 12, 2024

F2Pool says only a small number of Bitcoin ASICs remain profitable as prices fall

July 5, 2024
  • Home
  • About Us
  • Contact Us
  • Disclaimer
  • Privacy Policy
  • Terms and Conditions
© 2025 Crypto Flexs

Type above and press Enter to search. Press Esc to cancel.