Planning your inference rollout?
Start with the workload: expected requests, latency targets, concurrency, throughput and cost.
Explore how ESDS can help build the infrastructure behind your production AI.
#AI infrastructure has a new spending leader.
In 2026, AI-optimised #IaaS spending is forecast at $23.3B for inference vs $19B for training.
Here's what this means for enterprise AI. ๐งต
That's where #ESDS comes in.
Our AI Factory ecosystem integrates #GPU compute, high-speed networking, AI storage, #SWARAJCloud, #MLOps and managed operations to support enterprise AI workloads.
AI workloads are dynamic. GPU ownership is not.
From LLM training to real-time inference, GPUaaS enables enterprises to scale compute without heavy upfront investments.
Explore 6 enterprise use cases of GPUaaS.
Read more: https://t.co/qb6gp1UqKD
#GPU#GPUaaS#ESDS#AI#Blog #Techblog
๐ค ๐๐ฑ๐ก๐ข๐๐ข๐ญ ๐๐๐ซ๐ญ๐ง๐๐ซ | @ESDSDataCenter
We are pleased to welcome @ESDSDataCenter as an ๐๐ฑ๐ก๐ข๐๐ข๐ญ ๐๐๐ซ๐ญ๐ง๐๐ซ at the ๐๐๐ญ๐ก ๐๐๐๐ ๐๐จ๐ง๐๐ฅ๐๐ฏ๐ & ๐๐ฐ๐๐ซ๐๐ฌ ๐๐๐๐ โ ๐๐จ๐ฅ๐ค๐๐ญ๐.
@ESDSDataCenter is building an ๐๐-๐๐ข๐ซ๐ฌ๐ญ, ๐ฌ๐จ๐ฏ๐๐ซ๐๐ข๐ ๐ง ๐๐ข๐ ๐ข๐ญ๐๐ฅ ๐๐๐จ๐ฌ๐ฒ๐ฌ๐ญ๐๐ฆ, offering cloud, colocation, GPU infrastructure, AI platforms, managed services and managed security solutions.
With its ๐๐ฐ๐๐ซ๐๐ฃ ๐๐ฅ๐จ๐ฎ๐ platform and robust data centre infrastructure, @ESDSDataCenter helps organizations build secure, scalable and compliant digital environments for the AI era.
๐ ๐๐๐๐ง๐๐ฌ๐๐๐ฒ, ๐๐๐ญ๐ก ๐๐๐ญ๐จ๐๐๐ซ ๐๐๐๐
๐ ๐๐๐ ๐๐จ๐ง๐๐ซ, ๐๐จ๐ฅ๐ค๐๐ญ๐
๐ ๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐ ๐๐๐๐: https://t.co/t9wk174yI6
๐ ๐๐ฑ๐ฉ๐ฅ๐จ๐ซ๐ ๐๐จ๐ง๐๐ฅ๐๐ฏ๐: https://t.co/eoL8AJ0MvU
#CISOConclave #UBSForums #ESDS #CyberSecurity #AI #DigitalSovereignty #CyberResilience #Kolkata
A trained model is a milestone. The next bottleneck begins when real users arrive.
As demand grows, every millisecond and every request counts. In production, response times, rising demand and cost per request all matter. GPU capacity, model serving, storage, networking and operations must work together to keep your AI service performing at scale.
Ready to take your model into production? We will connect you with our AI Architect to discuss what youโre deploying, your expected request volume, latency target, and launch date. Weโll map the infrastructure to run it at scale.
Letโs map your inference rollout: https://t.co/6TCOH3aqcg
#AI #AIFactory #GPU
GPU-hour rates show capacity cost, not utilisation, throughput, or the true cost of meeting inference latency.
As AI moves into production, how does your organisation measure the economics of its AI infrastructure?
#AI#Poll#LinkedInpoll#GPU
Thank you to 300+ leaders from 80+ BFSI organisations and 10 states who travelled to Nashik and made these three days truly special.
Your ideas, conversations and perspectives gave BFSI AI Kumbh 2026 its meaning.
#BFSIAIKumbh2026#BFSI#AI#Successfulevent