Is H200 GPU Available as a Dedicated Server?

Cyfuture Cloud offers NVIDIA H200 GPUs through scalable hosting solutions optimized for AI, ML, and HPC workloads, with configurations that can function like dedicated servers.​

Yes, Cyfuture Cloud provides H200 GPU as a dedicated server option via GPU hosting and SXM GPU servers, delivering exclusive hardware access with 141GB HBM3e memory per GPU for enterprise-grade performance.​

H200 GPU Overview

The NVIDIA H200 GPU, built on the Hopper architecture, features 141GB of HBM3e memory and 4.8 TB/s bandwidth, enabling training and inference for large language models up to 175B parameters like GPT-3 or Llama 3. Cyfuture Cloud integrates these GPUs into high-density servers with NVLink interconnects, NVMe passthrough storage, and up to 25 Gbps networking, supporting workloads such as generative AI, RAG systems, and scientific simulations. Dedicated setups ensure full hardware control without multi-tenancy oversubscription, ideal for low-latency, data-intensive tasks.​

Availability on Cyfuture Cloud

Cyfuture Cloud explicitly offers H200 GPU hosting and deployment through its dashboard, including single-GPU droplets, multi-GPU clusters (1-8 GPUs per instance), and HGX configurations for dedicated-like environments. Users can provision H200 SXM GPU servers tailored for AI innovation, with options for MIG partitioning, NVLink scaling, and 24/7 support in global data centers. These servers provide 100% vCPU and GPU dedication, high RAM (up to 8192 GB DDR5), and local NVMe storage up to 3200 GB, matching physical dedicated server capabilities. Deployment is streamlined via API, CLI, or UI, with pay-per-use pricing based on GPU hours.​

Deployment Process

Start by creating a Cyfuture Cloud account and selecting H200 options under GPU services, customizing vCPU, RAM, storage, and networking. Install NVIDIA drivers, CUDA toolkit, and containers like Docker or Kubernetes, then validate interconnects with NCCL tests. Optimize with DCGM monitoring, encryption, and Slurm orchestration for dynamic scaling without downtime; benchmarks like MLPerf confirm performance. Cyfuture ensures 99.99% uptime via redundant infrastructure, making it suitable for production environments.​

Key Specifications

These specs position Cyfuture's H200 servers as competitive with providers like OVHcloud or VSHosting for dedicated GPU needs.​

Use Cases

LLM Training/Inference: Excels in long-context tasks for chatbots and assistants.​

Generative AI: Produces text, images, video with stable latency.​

HPC Simulations: Powers scientific computing and data analytics.​

Rendering: Accelerates 3D animations and architectural visuals.​

Cyfuture's MIG support allows secure multi-tenant partitioning on dedicated hardware, maximizing efficiency.​

Pricing and Support

Pricing follows a flexible model based on GPU hours, storage, and bandwidth, with custom quotes for clusters available via sales contact. Dedicated servers start competitively, emphasizing quick deployment and no vendor lock-in. 24/7 expert support handles provisioning, optimization, and troubleshooting.​

Conclusion

Cyfuture Cloud delivers H200 GPUs as dedicated servers through robust hosting platforms, empowering users with top-tier performance, scalability, and ease of use for cutting-edge AI and HPC applications—contact their team to deploy today.​

Follow-Up Questions

What workloads suit Cyfuture Cloud H200 hosting?
Ideal for LLM training/inference, generative AI (text/image/video), RAG-enhanced chatbots, scientific simulations, and HPC due to massive memory and bandwidth.​

How does pricing work for H200 dedicated servers?
Pay-per-use based on GPU hours, vCPU, RAM, storage, and bandwidth; request custom enterprise quotes for clusters or long-term commitments.​

Can I scale H200 GPUs across multiple nodes?
Yes, via NVLink-enabled clusters and dynamic provisioning for distributed computing without downtime.​

What software stacks are pre-supported?
NVIDIA AI Enterprise, CUDA, Docker/Kubernetes, Slurm, Triton Inference Server, with NCCL for multi-GPU validation.​

Is there a free trial or benchmark option?
Contact sales for trials, demos, or MLPerf benchmarks to test H200 performance in your environment.​