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๐Ÿ”ฅ Big move by E2E Networks Ltd! ๐Ÿ–ฅ๏ธ Deploying next-gen NVIDIA B200 cluster with NVIDIA Certified Reference Architecture ๐Ÿ‡ฎ๐Ÿ‡ณ Building India's Sovereign AI CloudGPU platform - TIR for large-scale AI training & inference ๐Ÿš€ Goal: Democratize access to advanced AI infrastructure
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๐Ÿšจ INDIAโ€™S AI INFRA RACE JUST LEVELLED UP ๐Ÿšจ E2E Networks has gone live with next-gen NVIDIA B200 clusters using NVIDIA Certified Reference Architecture. This is BIG. Why it matters: โ€ข B200 = NVIDIAโ€™s latest Blackwell architecture built for large-scale AI training & inference โ€ข E2E is positioning itself as Indiaโ€™s sovereign AI CloudGPU layer โ€ข Target use cases: Agentic AI, healthcare, finance, manufacturing, agriculture โ€ข Built with high-speed InfiniBand networking for hyperscale AI workloads โ€ข Backed by NVIDIA Enterprise software Nemotron open models Indiaโ€™s AI opportunity is no longer just about apps. The real moat is shifting toward: โšก GPU infrastructure โšก Compute capacity โšก Sovereign AI stack โšก Local hosting compliance โšก AI cloud platforms While everyone is chasing AI wrappers, companies building the โ€œpicks & shovelsโ€ of AI infra may quietly become the biggest winners of this cycle. E2E is aggressively expanding GPU clusters across Hopper Blackwell systems and positioning itself as a foundational layer for IndiaAI Mission-scale demand. The AI infrastructure capex cycle in India is only getting started. ๐Ÿ‡ฎ๐Ÿ‡ณ๐Ÿ”ฅ #AI #NVIDIA #E2ENetworks #IndiaAI #CloudGPU #DataCenter #ArtificialIntelligence #Blackwell #GPU #IndianStocks
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๐Ÿš€ E2E Networks Deploys NVIDIA B200 AI Cluster ๐Ÿค– โ€ข ๐Ÿ–ฅ๏ธ E2E Networks has gone live with next-generation NVIDIA B200 cluster built using NVIDIA Certified Reference Architecture โ€ข ๐Ÿ‡ฎ๐Ÿ‡ณ Strengthens the companyโ€™s positioning as a provider of Sovereign AI CloudGPU infrastructure in India โ€ข โšก Platform is powered by NVIDIAโ€™s latest Blackwell architecture, enabling faster AI training and inference workloads โ€ข ๐Ÿง  Infrastructure supports large-scale AI model training, fine-tuning, inference and production deployments โ€ข ๐Ÿ”’ Focused on enterprise-grade AI infrastructure with enhanced security, compliance and scalability โ€ข ๐ŸŒ Designed to support AI applications across sectors including healthcare, finance, manufacturing, agriculture and agentic AI โ€ข ๐Ÿ“ˆ Company continues expanding accelerated computing infrastructure using Hopper and Blackwell GPU systems โ€ข ๐Ÿค Ecosystem backed by NVIDIA Enterprise software, open-source frameworks and NVIDIA Nemotron models โ€ข ๐ŸŽฏ Management expects the platform to help enterprises train larger AI models and deploy production-grade AI applications more efficiently ๐ŸŸข Impact: Positive โ€” Strengthens E2E Networksโ€™ AI cloud positioning, enhances advanced computing capabilities and improves exposure to Indiaโ€™s rapidly growing AI infrastructure opportunity. #E2ENetworks #NVIDIA #ArtificialIntelligence #CloudComputing #AIInfrastructure #Blackwell #TechnologySector #StockMarketIndia
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๐—˜2๐—˜ ๐—ก๐—ฒ๐˜๐˜„๐—ผ๐—ฟ๐—ธ๐˜€ ๐—š๐—ผ๐—ฒ๐˜€ ๐—Ÿ๐—ถ๐˜ƒ๐—ฒ ๐˜„๐—ถ๐˜๐—ต ๐—ก๐—ฉ๐—œ๐——๐—œ๐—” ๐—•200 ๐—–๐—น๐˜‚๐˜€๐˜๐—ฒ๐—ฟ ๐Ÿš€: E2E Networks Limited, a prominent Indian CloudGPU infrastructure provider & NVIDIA Cloud Partner, has announced the launch of its next-generation NVIDIA B200 cluster. This significant development utilizes the NVIDIA Certified Reference Architecture and is integrated into E2E's TIR AI/ML Platform. ๐—ž๐—ฒ๐˜† ๐—›๐—ถ๐—ด๐—ต๐—น๐—ถ๐—ด๐—ต๐˜๐˜€: - ๐—˜๐—ป๐—ต๐—ฎ๐—ป๐—ฐ๐—ฒ๐—ฑ ๐—”๐—œ ๐—–๐—ฎ๐—ฝ๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐—ถ๐—ฒ๐˜€: The new B200 cluster is designed for large-scale training & inference workloads, supporting India's growing AI ambitions under the IndiaAI Mission. ๐Ÿ‡ฎ๐Ÿ‡ณ - ๐—”๐—ฑ๐˜ƒ๐—ฎ๐—ป๐—ฐ๐—ฒ๐—ฑ ๐—œ๐—ป๐—ณ๐—ฟ๐—ฎ๐˜€๐˜๐—ฟ๐˜‚๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ: E2E Networks is aggressively expanding its accelerated computing infrastructure, including Blackwell-based systems, featuring high-performance networking like InfiniBand for maximized compute efficiency. - ๐—ฃ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ ๐—•๐—ฒ๐—ป๐—ฒ๐—ณ๐—ถ๐˜๐˜€: The TIR AI/ML Platform offers simplified deployment workflows, enabling rapid provisioning of AI infrastructure for model training, fine-tuning, inference, & large-scale production deployments. - ๐——๐—ฒ๐—บ๐—ผ๐—ฐ๐—ฟ๐—ฎ๐˜๐—ถ๐˜‡๐—ถ๐—ป๐—ด ๐—”๐—œ: E2E Networks aims to democratize access to advanced AI infrastructure, providing enterprises & developers with secure, compliant, high-performance, & scalable computing capabilities powered by the Blackwell architecture. - ๐—™๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ ๐—ข๐˜‚๐˜๐—น๐—ผ๐—ผ๐—ธ: The deployment marks a significant step towards building one of India's most advanced AI cloud platforms, enabling faster innovation & improved performance for AI applications. ๐Ÿ’ก ๐Ÿ“Š E2E NETWORKS LTD | ๐Ÿท๏ธ Press Release ๐ŸŒ Details: wegro.app/NXpKK4 โšก๏ธInstant stock alerts on WhatsApp - Try FREE ๐Ÿ‘‰ wegro.app/go

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Cloud GPUs make AI faster, scalable, and cost-efficient โšกโ˜๏ธ Learn how to choose the right GPU cloud provider and optimize performance while cutting costs in our latest blog: esds.co.in/blog/how-to-choosโ€ฆ #AI #CloudGPU #MachineLearning
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๐Ÿ‡ฎ๐Ÿ‡ณ Why E2E Networks is India's most interesting AI infrastructure bet ๐Ÿงต โœ… Only listed pure-play GPU cloud in India โœ… NVIDIA Preferred Partner โœ… L&T Strategic Partnership โœ… India AI Mission contract winner โœ… 60% EBITDA margins โœ… Revenue growing 185% YoY โœ… Sovereign cloud = data localisation moat โœ… Blackwell capacity expanding India will need massive GPU compute for: โ†’ AI startups โ†’ Government AI projects โ†’ Defence AI โ†’ Enterprise AI โ†’ Research & academia E2E sits right at the centre of all of it ๐ŸŽฏ The depreciation cloud will lift The revenue ramp is real The moat is being built NOW #E2ENetworks #NSE #IndiaAI #CloudGPU ```
E2E networks Q4FY26 numbers I would say strong set ๐Ÿ‘‰PAT from -ve 5.5cr to 6.5Cr ๐Ÿ‘‰Close to 200% Topline growth YoY ๐Ÿ‘‰EBITDA margins at all time high
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Most โ€œAI case studiesโ€ I see feel like marketing slides. The ones I actually care about are the simple, honest ones: โ€“ hereโ€™s what we tried โ€“ hereโ€™s how long it took โ€“ hereโ€™s how much VRAM and money it actually used @hub_gpu is starting to collect stories in that direction โ€” more โ€œreal experimentsโ€, less buzzwords. If youโ€™re into that kind of thing, worth keeping an eye on ๐Ÿ‘‡ gpuhub.com/case-studies #MachineLearning #CloudGPU #MLOps

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๐Ÿ“ข Cloud GPU Server โ˜๏ธ๐Ÿš€ Power your business with High-Performance GPU Cloud Servers. Run AI, machine learning, and rendering faster than ever with advanced GPU infrastructure. ๐Ÿ”ฅ Start Your GPU Cloud Journey Today! ๐ŸŒ hyperscales.in ๐Ÿ“ž 91 8447685933 #CloudGPU #GPU
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AI is transforming #telecom, from predictive network ops and RAN optimization to real-time analytics and edge services. Vultr powers it with global high-performance cloud, #CloudGPU, #Kubernetes, and secure networking across 32 regions. ๐ŸŒโšก vultr.com/solutions/telecommโ€ฆ
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Everyone talks about models. Almost no one talks about infrastructure. ๐Ÿ‘€ But infrastructure is why most AI products fail in production. The best LLM will not save you from: โ€ข GPU bottlenecks โ€ข Latency spikes โ€ข Scaling issues โ€ข Unpredictable costs AI is not just about running inference once. It is about handling real traffic, real data, real workloads. @Qubrid_AI focuses on what teams underestimate. Scalable GPU infrastructure built for production, not just demos. Because โ€œit runsโ€ is not enough. โ€œIt scalesโ€ is what matters. ๐Ÿš€ #GPU #Infrastructure #cloudgpu
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Training AI on CPUs is like rendering a 4K video on a toaster. Hereโ€™s how Cloud GPUs speed up training, fine-tuning, and inference - without you buying or managing any hardware ๐Ÿ‘‰ ow.ly/5Al150Y4LeC #CloudGPU #AIML #MachineLearning #GPUComputing
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Need a GPU but not sure which one to choose? ๐Ÿค” Pick the GPU based on what youโ€™re building ๐Ÿ‘‡ ๐Ÿ”น T4 (16GB) โ†’ prototypes, lightweight inference, small open-source models ๐Ÿ”น L4 (24GB) โ†’ high-throughput inference, vision & speech ๐Ÿ”น A10G (24GB) โ†’ development, fine-tuning, mid-size models ๐Ÿ”น L40S (48GB) โ†’ multimodal workloads, vision-language models ๐Ÿ”น A100 (40GB / 80GB) โ†’ large-scale training & batch inference ๐Ÿ”น H100 (80GB) โ†’ distributed training, high-performance reasoning ๐Ÿ”น H200 (141GB) โ†’ long-context, big-model training & inference ๐Ÿ”น B200 (180GB) โ†’ massive models, next-gen AI at scale From T4 โ†’ B200, you can explore them all on the @Qubrid_AI platform: qubrid.com ๐Ÿš€ #AIModels #CloudGPU #Inference #AIHardware #ModelTraining
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Substrate Cloud just got a major upgrade! ๐Ÿ‘‰โ€‹New security layers. ๐Ÿ‘‰โ€‹More powerful compute. ๐Ÿ‘‰โ€‹GPU optimized AI infrastructure. ๐Ÿ‘‰โ€‹Faster deployment and networking. We summarized 5 key updates, but there is much more waiting for you. Explore the full list of new features in substrate.ai/substrate-cloudโ€ฆ and see how Substrate Cloud helps you build, deploy, and scale AI faster. Start building today. *** ยกSubstrate Cloud acaba de recibir una gran actualizaciรณn! ๐Ÿ‘‰ Nuevas capas de seguridad. ๐Ÿ‘‰ Cรณmputo mรกs potente. ๐Ÿ‘‰ Infraestructura de IA optimizada para GPU. ๐Ÿ‘‰ Despliegue y redes mรกs rรกpidos. Hemos resumido 5 actualizaciones clave, pero hay mucho mรกs esperรกndote. Explora la lista completa de nuevas funciones en substrate.ai/es/substrate-clโ€ฆ y descubre cรณmo Substrate Cloud te ayuda a crear, desplegar y escalar IA mรกs rรกpido. Empieza a construir hoy mismo. #SubstrateAI #AIInfrastructure #GPUComputing #CloudGPU #ArtificialIntelligence #MachineLearning #Developers
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Designed with intention. Built for impact. Weโ€™re building a new foundation to empower teams developing AI applications at scale. ๐Ÿ‘‰ Follow us to get the latest updates on Substrate Cloud. Big news coming soon. --- Diseรฑado con intenciรณn. Creado para generar impacto. Estamos construyendo una nueva base para impulsar a los equipos que desarrollan aplicaciones de IA a gran escala. ๐Ÿ‘‰ Sรญguenos para recibir las รบltimas novedades sobre Substrate Cloud. Muy pronto habrรก grandes noticias. #AI #ArtificialIntelligence #MachineLearning #GPUComputing #GPU #CloudGPU #AICompute
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Jan 13
๐Ÿค– Physical AI for robotics demands serious compute. See how teams scale perception, simulation, and fleet management on cloud GPUs with Vultr. Download the use case: discover.vultr.com/robotics-โ€ฆ #PhysicalAI #Robotics #AIInfrastructure #CloudGPU #CloudComputing #AutonomousSystems
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8 Dec 2025
"One-Stop Shop" means I have one place to go when the GPU rig inevitably overheats & mines 0 tokens. Keep up the good fight, @aidpstore. At least the UI is *mostly* non-Euclidean. #CloudGPU #DePIN
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8 Dec 2025
Still waiting for that @aidpstore 'upgrade' so my rented DePIN GPU can render a low-res cat picture in under an hour. At least my laptop fan gets a break from being the fastest part of the network. #CloudGPU #DePIN
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20 Nov 2025
Clinical documentation shouldnโ€™t slow down patient care. ๐Ÿš‘ Discover how @baseten leverages multimodal healthcare AI on Vultr Cloud GPUs with @nvidia HGX B200, delivering low-latency, secure automation for real clinical impact. discover.vultr.com/baseten-uโ€ฆ #HealthcareAI #CloudGPU
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19 Nov 2025
๐Ÿ“ @AMD's new Solution Blueprints are here โ€“ and Vultr is ready. With AMD Instinctโ„ข GPUs on Vultr Cloud GPU, Bare Metal, and VKE, teams can build and deploy AI workloads faster and at global scale. Learn more: blogs.vultr.com/amd-solutionโ€ฆ #CloudGPU #EnterpriseAI
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