E2E Networks is one of India’s leading hyperscalers focused on advanced cloud GPU infrastructure and is recognized for providing innovative cloud computing solutions and India’s top IaaS specialized in GPU capabilities. We have established ourselves as a provider.
E2E’s recent capital infusion fuels its growth and further positions it as a key player in India’s AI/ML ecosystem. This investment will allow E2E to expand its cloud infrastructure, with a particular focus on next-generation GPUs and GPU clusters that are essential for AI and machine learning workloads. E2E recognized a significant market opportunity for GenAI solutions, but faced challenges in scaling due to the limitations of its existing infrastructure. To address this issue, the company partnered with Dell Technologies to leverage Dell’s cutting-edge hardware and scalable solutions to overcome these hurdles. Dell AI Factory, powered by NVIDIA GPUs, supports E2E efforts to meet the growing demand for AI-driven innovation across enterprises, startups, and research institutions. This partnership is in line with Dell’s vision to advance AI/GenAI in India, helping businesses navigate their AI journey with future-proof infrastructure and optimized solutions.
Recognizing this significant market opportunity, E2E Networks has positioned itself in the GenAI solutions space. GenAI, AI/ML workloads, and computer vision are experiencing rapid growth, especially in industries such as higher education, research, and enterprise. It was clear that there were opportunities to address these areas, but capitalizing on them required infrastructure upgrades, including:
– Scalability: As the demand for AI/ML and GenAI solutions increases, E2E needed a scalable platform that could handle increasingly complex and large-scale processing. amount of work.
– Network and latency improvements: E2E networks also faced network delays Issues that impede the performance and speed of the Service; Affect customer satisfaction.
– Future-proof infrastructure: To remain competitive, E2E needed to ensure that: The company’s hardware can support the growth of AI/ML and GenAI Workload increases over time.
This has created the need for a technology partnership to design solutions that can address these challenges and position us as a leader in the AI/ML and GenAI space.
After carefully considering various options, E2E Networks partnered with Dell Technologies to leverage Dell’s expertise in hardware and AI solutions to build a robust and scalable infrastructure. Dell has provided E2E Networks with cutting-edge technology to power its GPUaaS offerings, enabling E2E to more effectively serve small and medium-sized businesses, higher education institutions, research organizations, and enterprises.
Why Dell?
– safety: Among other similar configuration platforms, the Dell in-house developed XE9680 offers more built-in security features such as dynamic system lockdown. Instant secure system erase of NVMe drives, SCV-secured supply chain MFA-enabled out-of-band MGMT. CTRL etc.
– reliability: From our experience, we believe that this platform is more reliable. Enable cloud service providers to offer strict SLAs. As if small things like the placement of the PCIe cards on the front matter. Placing the card on the back causes heat to escape through the back, making the card more likely to fail.
– performance: Current generation XE9680 with 8-way H200 SXM enabled delivers 37%-45% higher performance for specific Gen AI Powered by enhanced GPU HBM3e memory capacity and increased memory bandwidth.
To address the challenges of E2E networks, Dell Technologies has delivered a suite of solutions that integrate cutting-edge hardware, optimized architecture, and expert deployment services. This collaboration enables E2E to provide superior GPUaaS and GenAI solutions to its customers.
Key components of the solution
Dell PowerEdge XE9680 server with NVIDIA H200 GPU: E2E Network Provided by Dell Powered by PowerEdge XE9680 server based on NVIDIA H200 SXM GPUs each with 141 GB of memory. This greatly expanded memory Boost your AI model training and inference capabilities. Efficiently handle large-scale GenAI workloads.
Optimized architecture for the future: Dell designed Leaf Spine Architecture that delivers 400G throughput to address E2E latency assignment. This architecture provides a future-proof framework. GPUaaS enables E2E to scale and meet growing customer demands. AI/ML and GenAI solutions.
Dell Professional Services: Dell’s Professional Services team worked closely with E2E to understand specific customer outcomes and support needs. These played a key role in the deployment of GPU clusters. Supports AI/ML, computer vision, and GenAI capabilities.
Dell HPC and AI Innovation Lab POC: To validate the solution, Dell conducted a proof of concept (POC) at the HPC & AI Innovation Lab in Austin. There, PowerEdge servers outperformed the competition. of The successful POC demonstrated Dell’s superior performance in cluster management and multi-tenant configurations, ensuring E2E network confidence in collaboration.
Partnerships that drive business growth
The partnership between Dell Technologies and E2E Networks has resulted in several notable results, both in terms of technological improvements and business growth.
Future-proof GPUaaS solutions: E2E networks are scalable, Our future-proof GPUaaS solution allows us to meet the growing demand for GenAI by our clients, especially in areas such as education and research. The company’s infrastructure can now handle increasing complexity and size of AI workloads with optimized network latency.
Market expansion and customer benefits: The enhanced infrastructure has allowed E2E Network to expand its market presence. they were successful Closed new deals and attracted clients requiring advanced AI/ML and GenAI capabilities. As a result, E2E is in a better position. Leveraging India’s growing AI/ML market, A country that has established itself as an AI superpower.
Increased trust and confidence: Dell’s active involvement, early stakeholder Mapping and performance during the POC stage ensured trust in the E2E network. Dell and E2E’s strong partnership creates a shared commitment to future growth and innovation.
How collaboration impacts future growth
The collaboration between Dell Technologies and E2E Networks demonstrates the potential of a strategic partnership in driving business transformation. By leveraging Dell’s advanced hardware solutions, AI infrastructure expertise, and customized services, E2E Networks is now able to meet the growing demand for GPUaaS and GenAI solutions in India.
This case study demonstrates the value of future-proofing infrastructure and early efforts to create scalable, high-performance solutions that can drive important business outcomes. The success of this partnership not only strengthens E2E Networks’ market position, but also explores how similar collaborations can deliver transformative results for companies looking to innovate in the AI/ML and GenAI space. highlight.
“We are thrilled to celebrate our dynamic partnership with E2E Networks, a collaboration that will not only accelerate AI and GenAI capabilities in India, but also accelerate India’s next wave of economic growth. Together, we are emerging as a global AI superpower, driving innovation and setting new benchmarks for the industry. A future of limitless possibilities and shared success is here! ” Vice President & MD, ISG India, Dell Technologies Anil Sethi says:
As both Dell and E2E continue to push the boundaries of AI/ML capabilities, this partnership serves as a blueprint for other organizations looking to deliver next-generation solutions and capture new market opportunities. Dell Technologies and E2E Networks are working together to pave the way for India to emerge as a global AI/ML superpower.
Tarun Dua, co-founder and CEO of E2E Networks, said: Reliability and uptime. Dell servers allow you to build architectures that are free of performance bottlenecks and fit with uncompromised internal bandwidth, lowering total cost of ownership for cloud GPU customers. ”
“Our customers can now deliver projects faster without worrying about the reliability of the underlying computing infrastructure. GPU memory on NVIDIA SXM-based H200 GPUs has been expanded to 141 GB HBM3e per GPU, A new PCI bus supported on the latest generation CPU models of Dell PowerEdge XE9680 provides enhanced internal memory bandwidth and storage throughput for AI Improve workload performance by processing large-scale GenAI workloads on E2E Cloud’s production-grade cloud GPU setup,” Dua added.
Click the following link to download and read the complete case study: Dell Technologies E2E Networks GenAI Customer Story
