Latest news with #NeevCloud
Time of India
a day ago
- Business
- Time of India
Indian AI Cloud Infra Company NeevCloud Appoints Vijayakumar as Head of Engineering & Product Development (AI)
NeevCloud , an Indian AI infrastructure company, has appointed Vijayakumar as Head of Engineering & Product Development (AI). Vijayakumar will lead NeevCloud's Engineering and Product teams to build a full-stack AI ecosystem to support the company's mission to democratize AI by delivering a true end-to-end AI platform that's accessible, affordable, and infinitely scalable. Under Vijayakumar's leadership, NeevCloud aims to ensure innovation excellence while meeting business objectives. With over 18 years of experience in designing and delivering enterprise-grade solutions, Vijayakumar brings expertise in cloud technologies including IaaS, PaaS, SaaS, virtualization, edge computing, cloud native platforms and AI. Speaking about the appointment, Narendra Sen, Founder and CEO, NeevCloud said, 'At NeevCloud, we are building the backbone of India's AI-first future — a full-stack AI SuperCloud designed to power innovation at scale. Vijayakumar brings the right blend of deep technical expertise and customer-centric product thinking. His proven track record in cloud-native platforms and AI systems will help us accelerate our roadmap and engineer infrastructure that's not just high-performance, but also inclusive and accessible.' Prior to joining NeevCloud, he has worked with VMware., OVHCloud and Sify Technologies. He has led global engineering teams, emphasizing on platform thinking, developer-centric design, and secure software development practices. Vijayakumar has a B.E. in Computer Science, professional certifications in virtualization and cloud technologies and an MBA in Systems from Madras University. AI Masterclass for Students. Upskill Young Ones Today!– Join Now
Time of India
2 days ago
- Business
- Time of India
AI infra firm RackBank gets land in Indore, Raipur for data centres
Synopsis RackBank plans to grow data centers in cities like Indore and Raipur. This move aims to cut operational costs significantly. The company recently launched NeevCloud, an AI cloud business. They acquired land in Indore and Raipur for new facilities. These projects receive support from state governments. RackBank targets to raise Rs 700 crore for this expansion.
Economic Times
2 days ago
- Business
- Economic Times
AI infra firm RackBank gets land in Indore, Raipur for data centres
AI infrastructure startup RackBank is looking to expand data centres in tier-2 cities like Indore and Raipur to reduce its operational cost by 2–3x as compared to data centre hotspots like Mumbai, Chennai and Noida. The firm, which recently launched an AI cloud business unit called NeevCloud, has acquired six acres of land in Indore for an 18 megawatt facility and 13 acres in Raipur for a 100 megawatt facility, Narendra Sen, founder and CEO of RackBank and NeevCloud, told ET. These investments are supported by state governments of Madhya Pradesh and Chhattisgarh respectively in form of power subsidies and other benefits. To maintain competitive pricing for on-demand GPUs (graphics processing units), neocloud firms need to cut fixed costs and operational costs, especially because GPUs guzzle immense power and water. For instance, land costs in Raipur are Rs 30 lakh per acre, less than a tenth of Mumbai's rates, and operational costs are equally compelling, Sen explained.'In tier-1 cities, it costs Rs 50 crore per megawatt to build. We do it for Rs 25 crore in tier-2. State governments like Madhya Pradesh are also supporting data centre companies with single window clearances and dedicated power supply. Our delivery timeline is nine months, as compared to metro cities where it can be 24 months,' he added that RackBank's in-house immersion cooling system Varuna allows it to cut capital costs by up to company is aiming to raise Rs 700 crore debt to fund this expansion. This comes after it raised a $16.5 million (nearly Rs 138 crore) equity seed round in March 2025 from D-Street investors like Ashish Kacholia and Madhulika Agarwal.'We want to become the CoreWeave of Asia Pacific,' he said, referencing the US-based AI cloud startup that recently went public after a meteoric in 2023, NeevCloud currently operates a cluster of over 700 GPUs, including Nvidia H100, H200, MI300 and plans to add the latest Blackwell GPUs in Raipur soon. NeevCloud's model focuses on enterprise AI workloads, medical diagnostics and government partnerships. 'Hyperscalers like AWS and Azure dominate the general cloud, but they don't have enough GPU capacity in India. Startups are hungry for training and inference compute, and they're willing to switch providers,' said Sen. 'We're already seeing strong traction from AI startups and healthcare firms.' On the global front, NeevCloud is also setting up presence in Europe (Finland, Norway) and the US, partnering with local data centre operators to ensure compliance and reach.'Customers expect availability. If your site shows zero GPUs, they bounce,' said Sen. 'So we're launching regions in key markets to stay competitive.'
Time of India
13-05-2025
- Business
- Time of India
GPU firms step up their tech stack
Indian AI cloud and GPU-as-a-service companies such as Neysa, JarvisLabs and NeevCloud are altering strategies as AI market dynamics shift. While Neysa continues to invest in advanced GPUs to double down on inferencing, others such as JarvisLabs and NeevCloud are taking a step back and not buying any more GPUs. Instead, they are focusing on building the software reasons for this range from low utilisation of high-end GPUs, high capital investment required for purchasing them and better and cheaper access to such chips in recent times. In addition GPUs are capital intensive and unless startups have raised enough funds, it is a risky business. While training and fine-tuning of large language models is yet to pick up at scale, companies are also focusing on inferencing, a process in which trained AI models use the data to predict, reason, or solve problems. The GPU issue Vishnu Subramanian, founder of Jarvislabs AI, which offers GPU rental and AI cloud services , explained that one of the reasons they bought GPUs in 2019 was that back then no one else was buying them and costs were exorbitant. Jarvislabs offered the service at an economical price to startups and the student community in the country. But with more companies entering the field in India and globally, costs have plummeted. 'The rental prices and margins at which you can rent has significantly gone down. For example, on-demand H100 (an Nvidia GPU) used to cost $11-12 a year back. Now you can get them for less than $3 from a decent cloud service provider,' he said. India's appetite for spending on high-end GPUs has declined. 'Even within Jarvislabs, we see a bigger chunk of revenue coming from the West,' Subramanian said. As a result, the company stopped buying GPUs a year ago and is partnering with global players to offer processing capacity. The Tech stack focus In addition, Jarvislabs is also focusing on building the orchestration layer. This refers to systems that manage multiple AI components by streamlining the process, scaling and bringing in efficiency. NeevCloud founder Narendra Sen said it began with a plan to build the CoreWeave of India. It started out renting GPUs and then entered orchestration and application layers. 'But we realised that GPUs are a commodity and you need to build a technology for consumer stickiness and provide value beyond the GPU such as improving chip performance,' he said. As a result, NeevCloud, instead of bulking up on GPUs, is taking a call to buy them based on demand. 'This is only 10-20%,' he added. The firm did not disclose the scale of GPU operations, but this had been a key strategy earlier. Sharad Sanghi, co-founder of Neysa, an AI cloud platform, said some companies are not focusing on GPUs as they are capital intensive and, unless they have money, it is a risky business. Neysa has so far deployed 1,200 GPUs and is in talks to place further orders for advanced chips including Nvidia Blackwells, expected in India later this year. This backs up the company's focus on inferencing-as-a-service. Sanghi said that with (Indic) foundational models such as Sarvam coming, there will be use cases for training and finetuning. While the firm was doing all three earlier—training, finetuning and inferencing, Sanghi said the enterprise space is going to be more of a market focused on the latter.
Economic Times
13-05-2025
- Business
- Economic Times
GPU firms step up their tech stack
With computing costs falling and GPU access improving, some Indian players are pivoting their strategy to double down on software offerings and focus more on inferencing-as-a-service, says Swathi Moorthy. Tired of too many ads? Remove Ads Tired of too many ads? Remove Ads Indian AI cloud and GPU-as-a-service companies such as Neysa JarvisLabs and NeevCloud are altering strategies as AI market dynamics shift. While Neysa continues to invest in advanced GPUs to double down on inferencing , others such as JarvisLabs and NeevCloud are taking a step back and not buying any more GPUs. Instead, they are focusing on building the software reasons for this range from low utilisation of high-end GPUs, high capital investment required for purchasing them and better and cheaper access to such chips in recent times. In addition GPUs are capital intensive and unless startups have raised enough funds, it is a risky business. While training and fine-tuning of large language models is yet to pick up at scale, companies are also focusing on inferencing, a process in which trained AI models use the data to predict, reason, or solve Subramanian, founder of Jarvislabs AI, which offers GPU rental and AI cloud services , explained that one of the reasons they bought GPUs in 2019 was that back then no one else was buying them and costs were exorbitant. Jarvislabs offered the service at an economical price to startups and the student community in the country. But with more companies entering the field in India and globally, costs have plummeted. 'The rental prices and margins at which you can rent has significantly gone down. For example, on-demand H100 (an Nvidia GPU) used to cost $11-12 a year back. Now you can get them for less than $3 from a decent cloud service provider,' he appetite for spending on high-end GPUs has declined. 'Even within Jarvislabs, we see a bigger chunk of revenue coming from the West,' Subramanian said. As a result, the company stopped buying GPUs a year ago and is partnering with global players to offer processing addition, Jarvislabs is also focusing on building the orchestration layer. This refers to systems that manage multiple AI components by streamlining the process, scaling and bringing in efficiency. NeevCloud founder Narendra Sen said it began with a plan to build the CoreWeave of India. It started out renting GPUs and then entered orchestration and application layers. 'But we realised that GPUs are a commodity and you need to build a technology for consumer stickiness and provide value beyond the GPU such as improving chip performance,' he said. As a result, NeevCloud, instead of bulking up on GPUs, is taking a call to buy them based on demand. 'This is only 10-20%,' he added. The firm did not disclose the scale of GPU operations, but this had been a key strategy Sanghi, co-founder of Neysa, an AI cloud platform, said some companies are not focusing on GPUs as they are capital intensive and, unless they have money, it is a risky business. Neysa has so far deployed 1,200 GPUs and is in talks to place further orders for advanced chips including Nvidia Blackwells, expected in India later this year. This backs up the company's focus on said that with (Indic) foundational models such as Sarvam coming, there will be use cases for training and finetuning. While the firm was doing all three earlier—training, finetuning and inferencing, Sanghi said the enterprise space is going to be more of a market focused on the latter.
