AI SuperClusters provide the ultimate performance boost for your AI and HPC endeavors, fueled by NVIDIA's H100 GPUs.
AI SuperClusters offer effortless scalability through NVMe links, ensuring ultra-fast data transfer speeds and low latency.
AI SuperClusters are designed to democratize AI and HPC, providing the world's lowest pricing of $1.69/hGPU/hr.
Fully-integrated clusters optimized for the most challenging AI workloads.
Unlock significant cost savings and accelerate your ML with our AI superclusters, offering long-term cost-effectiveness and unmatched performance compared to GPU instances.
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.
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.
Safeguard your business-critical data and prevent costly downtime with proactive hardware replacement, ensuring the integrity and availability of your valuable information.
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.
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.
7x better efficiency in high-performance computing (HPC) applications,
up to 9x faster AI training on the largest models and up to 30x faster AI inference.
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.
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.
Tensor Cores are dedicated hardware units, ensuring that the acceleration they provide is consistent and predictable across a variety of AI and compute workloads.
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.