Power Generative AI and HPC with NVIDIA HGX H200
Get ready to scale up to thousands of NVIDIA HGX H200 GPUs with our AI Supercloud for faster performance, enhanced data security and personalised solutions. Our platform is ideal for generative AI, NLP, LLM and HPC workloads.
Fully Managed Kubernetes
MLOps-as-a-Service
Supplementary
Software
Flexible Hardware and Software Configurations
Scalable Solutions
Benefits of
NVIDIA HGX H200
Our AI Supercloud maximises the capabilities of the NVIDIA HGX H200 with high performance at scale for workloads in generative AI, NLP, large language models (LLMs), and high-performance computing (HPC).
Advanced Hardware
Get top-tier model performance with advanced liquid cooling, low-latency networking, high-speed WEKA storage and NVIDIA Quantum-2 InfiniBand for demanding AI applications.
Scalable Solutions
Scale up additional GPU resources on-demand, supporting high-capacity workflows. Our AI Supercloud can scale to thousands of GPUs within just 8 weeks.
Personalised Configurations
Flexible hardware and software configurations to meet your unique requirements, paired with high-performance storage solutions to support diverse workload needs.
Expert Kubernetes and MLOps Management
Simplify AI workflows with managed Kubernetes and MLOps support, ensuring optimised resource allocation and streamlined ML pipeline deployment and scaling.
Industry-Leading Expertise
Our experts provide top-level assistance to guide implementation and manage complex AI solutions with NVIDIA best practices.
Robust Data Security and Compliance
Maintain secure data handling with region-specific data protection, ensuring compliant data transfer and secure deletion when required.
Personalised Solutions
We offer personalised solutions on our AI Supercloud for optimal performance.
Customised Hardware Configuration
We provide tailored NVIDIA HGX H200 setups to align with your CPU, RAM, and disk requirements, ensuring peak performance for your unique applications.
Dedicated
Support
Get ongoing assistance from our technical support team, including MLOps engineers dedicated to keeping your NVIDIA HGX H200 setup running smoothly.
Flexible GPU and
Storage Options
Customise the NVIDIA HGX H200 to meet specific project needs, including additional server and storage options, high-performance file systems, and object storage.
End-to-End Services
From custom configurations to end-to-end MLOps support, we ensure your AI deployments are optimised for efficiency at every step.
Fully Managed Kubernetes
Our fully managed Kubernetes setup streamlines AI deployments with optimised resource utilisation, automated management, dedicated support, and comprehensive SLAs. Quickly address hardware and software issues with our responsive services.
MLOps Support
Get expert guidance throughout the entire ML lifecycle, from model training to deployment and scaling. Leverage advanced automation tools to streamline MLOps processes and boost productivity.
Additional Software Offerings
Integrate a range of open-source software solutions, including OpsTool (Grafana, ArgoCD, Harbor) and MLOps tools (Kubeflow, MLFlow, UbiOps, Run.ai). Avoid vendor lock-in with our open architecture for seamless integration with third-party solutions.
How it Works
We know that every client has specific needs. Our custom hardware and software configurations are tailored to fit your operational goals and business objectives.
01
Assess your Needs
Engage in a discovery call with our solutions engineer to thoroughly evaluate your current infrastructure, business goals and specific requirements.
02
Customise Solutions
Based on our call, we'll propose a tailored configuration that aligns perfectly with your needs and objectives.
03
Run a POC
Run a Proof of Concept (POC) on a customised environment to assess its performance and compatibility with your existing systems.
04
Personal Onboarding
After signing the contract, we'll guide you through onboarding, helping with migration and integration.
05
Ongoing Continuous Support
Our team of experts will continue to support you and provide personalised assistance at every stage.
How it Works
We know that every client has specific needs. Our custom hardware and software configurations are tailored to fit your operational goals and business objectives.
Talk to a Solutions Engineer
Schedule a call with our solutions engineer today to explore the perfect solution that fits your project’s budget, timeline and technical requirements on AI Supercloud.
Scale
AI Projects with NexGen Cloud
Frequently Asked Questions
Frequently Asked Questions About NVIDIA HGX H200
What makes NVIDIA HGX H200 ideal for high-performance AI workloads? 
Our NVIDIA HGX H200 on AI Supercloud is designed for demanding AI and HPC applications, featuring advanced liquid cooling, low-latency networking, and the NVIDIA Quantum-2 InfiniBand for ultra-fast data throughput. With our AI Supercloud’s on-demand scalability and flexible storage options, the NVIDIA HGX H200 supports intensive workloads such as generative AI, NLP, and large language models, ensuring peak performance and rapid scaling as your project grows.
How scalable is the NVIDIA HGX H200?
Our platform supports full scalability of NVIDIA HGX H200s for deployments of up to thousands of GPUs as needed.
What support is available for deploying NVIDIA HGX H200 on AI Supercloud?
We provide comprehensive support through dedicated MLOps engineers, managed Kubernetes services, and expert assistance to guide you through complex AI deployments. Our team ensures seamless integration with MLOps tools like Kubeflow and MLFlow, tailored configurations, and continuous resource optimisation to keep your NVIDIA HGX H200 setup operating at its best.
What is the NVIDIA HGX H200 and how does it differ from other NVIDIA GPUs?
The NVIDIA HGX H200 is an advanced compute platform for AI and HPC, featuring the Hopper architecture, HBM3e memory, and Quantum-2 InfiniBand for low latency, offering scalability for high-bandwidth applications like generative AI.
What are the main applications for the NVIDIA HGX H200 in AI and HPC workloads?
The HGX H200 is perfect for tasks requiring high computational power and scalability, such as generative AI, NLP, LLM training, and HPC.
How does the AI Supercloud enhance the capabilities of the NVIDIA HGX H200?
How scalable is the NVIDIA HGX H200 for large workloads?
The NVIDIA HGX H200 on the AI Supercloud allows quick scaling to thousands of GPUs for efficient AI training and inference.
