October 1, 2024
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In our latest article, we explore how scalable infrastructure drives enterprise growth in AI and ML initiatives. Traditional IT setups often struggle with limited processing power, high costs, and inflexibility, hindering AI scalability. Our AI Supercloud addresses these challenges with advanced NVIDIA hardware, rapid GPU scaling, low-latency networking and robust data storage. Enterprises can benefit from cost-effective, compliant and flexible solutions that accelerate AI development and support data-intensive workloads.
The Importance of Scalable Infrastructure in AI Growth
Scalable infrastructure refers to systems that adapt to increasing demands without compromising performance. This adaptability is imperative for enterprises as AI and ML continue to lead innovation in modern business operations. To give you an idea, the average number of AI capabilities within organisations has doubled in the past five years. However, enterprise leaders expect each new AI implementation to accelerate their time-to-market and lower costs. But the reality is far away from these expectations.
Many enterprises face challenges as they attempt to scale their AI initiatives. While proof-of-concept models and experimental AI projects may initially show strong potential, moving these into full-scale, production-ready solutions often expose significant hurdles. And, even AI models that have been successfully deployed can experience performance issues or become outdated due to changes in data trends or evolving business needs.
The Struggles of Traditional IT Infrastructure
Many enterprises start with on-premises data centres or basic cloud setups. However, as AI workloads grow, they quickly face scalability challenges:
- Limited processing power slows down AI training and inference.
- High costs of upgrading and maintaining infrastructure.
- Lack of flexibility makes it difficult to scale resources up or down as needed.
- Complex infrastructure management, requiring dedicated IT teams.
- No robust security or compliant-ready infrastructure.
These limitations hinder enterprise growth, delay AI projects, and increase operational costs, which no growing business wants to face.
Scalable Cloud Infrastructure For Enterprise Growth
To overcome the above challenges, enterprises must opt for scalable cloud infrastructure that supports growing workloads and ensures consistent performance, efficiency and compliance as their AI initiatives grow.
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Massive Compute: AI models require significant computational power. A scalable infrastructure ensures enterprises can train larger models without hitting performance roadblocks with advanced hardware and optimised solutions like data storage and networking.
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Cost Optimisation: Traditional infrastructure often requires over-provisioning. Scalable cloud GPUaas solutions allow enterprises to pay only for what they use, reducing costs.
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Speed and Efficiency: AI development cycles can be lengthy but with the right scalable solutions, enterprises can accelerate training and deployment. On average, moving AI initiatives from proof of concept to production takes around 7.2 months.
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Flexibility: The ability to scale up or down ensures enterprises can handle spikes in demand without overcommitting resources.
Our Scalable Infrastructure for Enterprise Growth
Our AI Supercloud is a scalable, high-performance cloud platform designed to meet the demanding needs of enterprises across different industries. Here’s how our AI Supercloud delivers scalable infrastructure designed for enterprise growth:
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Advanced Hardware with Faster Deployment: Our AI Supercloud leverages the latest NVIDIA technologies, including the NVIDIA HGX H100, NVIDIA HGX H200 and the upcoming NVIDIA Blackwell GB200 NVL72/36 for massive computational power. Enterprises can scale up additional GPU resources on demand, supporting high-capacity AI and HPC workflows. The AI Supercloud can scale to thousands of GPUs within 8 weeks for quick deployment and rapid scalability.
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Optimised for Enterprise Growth: Our scalable solutions are optimised to meet the evolving needs of modern enterprises. With hardware built on reference architecture, advanced liquid cooling and NVIDIA Quantum-2 InfiniBand for low latency, the AI Supercloud ensures top-tier model performance for even the most demanding AI applications. This optimisation means faster training times for large AI models.
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Robust Storage for Data-Intensive Workloads: Our AI Supercloud integrates the WEKA Data Platform, delivering robust, scalable storage optimised for every stage of data lifecycle management. From ingestion to analysis and long-term archiving, our storage solutions support high-performance data access and management. This ensures enterprises can handle large-scale data workflows efficiently while maintaining scalability and flexibility for future growth.
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Hyperstack for On-Demand Workload Bursting: Our integrated on-demand platform allows enterprises to scale to handle temporary computational needs without long-term commitments. Hyperstack provides flexible scaling options for workload bursts, featuring powerful GPUs like the NVIDIA A100, NVIDIA H100 SXM and NVIDIA H100 PCIe. Enterprises only pay for what they use, with cost-effective pricing options for short-term projects or sudden spikes in demand.
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Scalable, Compliant Infrastructure: As enterprises grow, maintaining compliance and data sovereignty becomes critical. Our European and Canadian deployments ensure that your data remains under European jurisdiction, with secure removal processes to safeguard sensitive information. By aligning with global compliance standards, our scalable infrastructure supports enterprise growth while ensuring legal and regulatory adherence.
Scale Enterprise Growth with the AI Supercloud
Ready to scale? Book a discovery call to find the best solution for your enterprise needs.
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FAQs
What is scalable infrastructure and why is it important for enterprises?
Scalable infrastructure allows enterprises to expand or reduce computing resources based on demand, ensuring efficiency and cost-effectiveness. It's crucial for supporting AI growth, maintaining performance, and managing costs as businesses evolve.
How does traditional IT infrastructure limit enterprise growth?
Traditional infrastructure often lacks flexibility, has limited processing power, and incurs high maintenance costs. These factors hinder AI development, delay projects, and increase operational expenses.
What makes NexGen Cloud’s AI Supercloud a scalable solution?
The AI Supercloud offers on-demand GPU scaling, advanced NVIDIA hardware like NVIDIA HGX H100 and NVIDIA H200 and robust storage solutions. It can scale to thousands of GPUs within 8 weeks, ensuring rapid deployment and growth.
How does the AI Supercloud optimise AI performance?
With advanced liquid cooling, NVIDIA Quantum-2 InfiniBand for low-latency networking, and high-speed WEKA storage, the AI Supercloud ensures faster AI training and top-tier model performance.
How does the AI Supercloud ensure data compliance and security?
The AI Supercloud’s European and Canadian deployments ensure data remains under European jurisdiction, with secure data removal processes to meet compliance and safeguard sensitive information.
Can AI Supercloud support large-scale data workflows?
Yes, the AI Supercloud integrates the WEKA Data Platform for robust, scalable storage optimised for the entire data lifecycle, from ingestion to long-term archiving, supporting high-performance data workflows.
How quickly can enterprises deploy scalable resources with the AI Supercloud?
Enterprises can scale to thousands of GPUs within just 8 weeks, ensuring quick deployment and the ability to handle high-capacity AI and HPC workloads efficiently.
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