As artificial intelligence (AI) moves from innovation to large-scale implementation, the focus is shifting from what can be built to how solutions can be deployed securely, sustainably and at scale.
Talking to AIM, AS Rajgopal, MD and CEO of NxtGen Cloud Technologies, mentioned that AI solutions fundamentally depend on vast, high-quality data for effective training and fine-tuning. “They analyse patterns within this data to deliver accurate responses.”
However, he added that the primary challenge enterprises face is securing ‘AI-ready’ data, properly curated, compliant and contextually relevant.
The Standardised AI Solutions Framework (SAS-F), a novel patent-pending approach by NxtGen, offers a comprehensive blueprint for end-to-end AI service delivery.
“Through SAS-F, we address this via techniques like synthetic data generation, ensuring data quality, privacy and governance while meeting strict regulatory standards,” he added.
Developed in-house by the leading sovereign cloud and data centre company, SAS-F covers the full spectrum: bespoke solution engineering, data curation and centralisation, AI solution development, guardrailing, evaluation and validation, deployment, management and continuous improvement.
In essence, NxtGen understands customer pain points to provide tailored AI solutions, from GPU infrastructure to delivering use cases. SAS-F enables NxtGen to move beyond infrastructure-as-a-service to outcome-as-a-service.
For years, NxtGen has anchored India’s digital backbone through enterprise-grade cloud solutions, edge computing and nationwide high-availability data centres. Now with SAS-F, the company not only provides AI infrastructure but also delivers custom AI solutions tailored to the market’s growing workload demands.
How is NxtGen Catering to SAS-F?
AI today is both data and compute-hungry. SAS-F outlines an approach that involves real-time data ingestion, domain-adaptive training, foundation model fine-tuning and agentic workflows.
At the core of SAS-F is bespoke solution engineering, where NxtGen experts immerse deeply in customer conversations to map key objectives, pain points, stakeholders, use cases and AS-IS processes. This understanding enables the design of tailored data architectures, solution designs and infrastructure scaling strategies.
Data curation and centralisation form a vital part of SAS-F. NxtGen makes this work by building pipelines that gather structured, semi-structured and unstructured data from disparate sources across the organisation. The data is then cleaned, organised and stored in either a data warehouse or data lake.
In AI solution development, NxtGen uses OEM partnerships to select optimal open-source models for each use case. These models are precision-tuned before undergoing rigorous guardrailing, evaluation and validation, ensuring outputs adhere to organisational policies, compliance mandates and predefined solution benchmarks.
Security, reliability and governance are built into both the SAS-F philosophy and NxtGen’s operational DNA. As AI solutions begin handling sensitive personal, financial and health-related data, ensuring privacy and transparency becomes critical. NxtGen’s infrastructure is compliant with key global standards, including GDPR and ISO certifications, and includes tools for data encryption and real-time monitoring, allowing AI deployments to be both innovative and responsible.
SAS-F’s deploy, manage and continuous improvement phase integrates MLOps/LLMOps directly into operational workflows. NxtGen’s environment enables continuous model evolution via inference engines, low-latency deployments and automated retraining pipelines. Meanwhile, built-in observability tools track live performance metrics, ensuring perpetual alignment with business outcomes.
“We have been working on a GPU OEM agnostic platform and have deployed various GPUs from NVIDIA and AMD. Our largest deployment is 512 x H200s, which the SAS-F platform leverages to run varied use-cases,” Rajgopal added.
What sets NxtGen apart is a readiness to serve as the execution partner for a future-ready AI framework. While SAS-F offers the blueprint, NxtGen offers the ground on which that blueprint becomes reality. Its ability to integrate compute, storage, networking and observability into a seamless AI delivery platform makes it ideal for executing SAS-F at scale.
As industries from healthcare to fintech, and from manufacturing to mobility begin embedding AI into their operations, the need for a dependable infrastructure partner becomes paramount.
“We are fortunate to build use cases across multiple domains. Our strongest demand is for user-facing AI agents for IT helpdesk, customer service, finance and HR, all using text and speech,” Rajgopal mentioned.
NxtGen’s work also spans specialised applications, such as using computer vision to detect anomalies in PCB manufacturing, improving production efficiency and developing visualisation tools for home décor. Its infrastructure is using general-purpose NVIDIA H200SXM GPUs to deliver exceptional throughput and concurrency.
The company is rising to the challenge by making AI not just possible but performant, efficient and secure. More than a cloud company supporting AI, it is the engine driving the SAS-F forward.
The post NxtGen’s Standardised AI Solutions Framework Sets the Pace for AI Delivery at Scale appeared first on Analytics India Magazine.
