Unlock Ultimate Computational Power, pre-reserve the all new NVIDIA H200s AI SuperCluster for $1.99/hr. Click to Know More.

Unmatched AI Productivity

AI SuperClusters provide the ultimate performance boost for your AI and HPC endeavors, fueled by NVIDIA's H200 GPUs.

Effective & Speedy Scalability

AI SuperClusters offer effortless scalability through NVMe links, ensuring ultra-fast data transfer speeds and low latency.

Value-Efficient Output

Drives seamless accessibility, delivering unparalleled value-efficient organizational AI Excellence.

Trusted By

www.vverse.ai
www.liqvd.asia
www.enterr10.com
www.aiunreal.tech
www.neurobridge.tech
www.msg91.com
www.vverse.ai
www.liqvd.asia
www.enterr10.com
www.aiunreal.tech
www.neurobridge.tech
www.msg91.com
www.vverse.ai
www.liqvd.asia
www.enterr10.com
www.aiunreal.tech
www.neurobridge.tech
www.msg91.com
www.vverse.ai
www.liqvd.asia
www.enterr10.com
www.aiunreal.tech
www.neurobridge.tech
www.msg91.com
NeevCloud's GPU Brigade
Cutting Edge Network

Network Speed

  • The fastest network for distributed training - 3.2 Tbps infiniband.
  • State-of-the-art training clusters with the fastest compute available - Nvidia H200, H100 and A100 GPUs
  • Directly SSH into the cluster, download your dataset and you’re ready to go.
Key Benefits
Why AI SuperCluster

57% Savings on AI Superclusters

Unlock significant cost savings and accelerate your ML with our AI superclusters, offering long-term cost-effectiveness and unmatched performance compared to GPU instances.

24*7*365 best in class support

Never let technical issues interrupt your ML process with our unparalleled 24/7/365 best-in-class support, ensuring continuous availability, proactive problem-solving, and rapid resolution.

Plug and Play

Experience rapid deployment, simplified management, operations, and reduced downtime with our plug-and-play AI SuperCluster, empowering you to focus on innovation from the start.

Hardware Replacement

Safeguard your business-critical data and prevent costly downtime with proactive hardware replacement, ensuring the integrity and availability of your valuable information.

InfiniBand for distributed training

InfiniBand delivers exceptional performance, scalability, and manageability, making it ideal for interconnection of our AI superclusters. Its low latency, high throughput, and support for multiple memory areas enable superclusters to handle the demanding workloads of modern AI and HPC applications.

Early access to latest GPU

Unlock the future of AI. Neevcloud’s AI superclusters not only provide unmatched performance and scalability but also early access to the latest GPUs that helps you to stay ahead of the competition.

NeevCloud's AI SuperCluster Featuring Nvidia H200 is designed for large-scale HPC and AI workload.

45% better efficiency than H100 in high-performance computing (HPC) applications,
up to 2x LLM inference performance than H100.

Tensor Core

Leveraging the parallel processing capabilities of GPUs and the mixed-precision arithmetic of Tensor Cores, AI researchers and developers can achieve significant improvements in training speed and model performance.

High Memory Capacity

NVIDIA GPUs equipped with Tensor Cores offer large memory capacities, which is important for handling large datasets and complex models without running into memory limitations.

Hardware Supported

Tensor Cores are dedicated hardware units, ensuring that the acceleration they provide is consistent and predictable across a variety of AI and compute workloads.

AI Software Installed
Pre-configured for machine learning

Start training your models immediately with pre-configured software, shared storage, and networking for deep learning. All you have to do is choose your GPU nodes and CPU nodes. Neevcloud's Premium Support for Cloud Clusters includes PyTorch, TensorFlow, CUDA, cudNN, Keras, and Jupyter. Kubernetes is not included.

Secure access to the cutting-edge AI GPU Cloud H200, renowned for its exceptional speed and performance, makes it the most ideal choice for training LLMs today.

FAQs
Get Clarity Here!

AI supercloud combines high-performance computing with scalable AI capabilities, using GPUs to efficiently execute complex workloads. This accelerates tasks like deep learning and real-time data analysis across sectors such as healthcare, finance, and retail.

A structure larger than a supercluster is typically referred to as a "multi-cloud environment" or "hybrid architecture." This setup integrates multiple superclusters and resources from various providers, allowing for diverse capabilities and enhanced scalability.

A Generative AI SuperCluster combines multiple high-performance GPUs and TPUs to efficiently process large datasets. It ingests and pre-processes data, trains generative models using advanced algorithms, and deploys these models to create new content in real-time. The supercluster can easily scale to handle larger datasets and more complex tasks, maximizing the potential of generative AI technologies.

Unlike traditional computing clusters, which may focus on general tasks, AI superclusters are optimized for AI workloads. They utilize advanced GPUs and specialized architecture for enhanced performance. This specialization allows for faster training and processing of AI models.

Businesses should evaluate their workload requirements, data security needs, and budget constraints before migrating. Understanding compatibility with existing systems and the potential for scalability is crucial. Additionally, training staff on new technologies may be necessary to maximize the benefits of the AI supercloud.

Applications such as natural language processing, image recognition, and recommendation systems thrive in an AI supercloud environment. These workloads benefit from the scalability and processing power available. The supercloud's architecture allows for efficient handling of complex models and large datasets.

Renting GPUs is often more cost-effective for short-term projects, providing flexibility and access to the latest technology without the high upfront costs. However, if you have long-term, consistent needs and want to optimize overall expenses, buying GPUs might be the better option. Assess your project duration, budget, and resource requirements to make the best choice for your specific situation.

H100 are readily available, for H200 GPU Superclusters, you can expect a lead time of 1 months from the date of placing your order.

There are no additional fees associated with the deployment of H200 GPUs.

Yes, We do have POC Trial available for service assessment.
Purpose-Built for AI, Simulation, and Data Analytics

NVIDIA HGX™ AI supercomputing platform combines multiple GPUs with fast interconnections and fully accelerated software stack to address the needs of both scale-out machine learning training, large-scale simulation applications, and big data analytics. This end-to-end solution integrates the powerful capabilities of NVIDIA GPUs hardware, NVLink® technology for GPU interconnectivity , NVIDIA networking and AI as well HPC software stacks that all optimally tuned to deliver unprecedented application performance and faster time to insights.

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Reserve NVIDIA HGX H200 on NeevCloud