How do I launch an H100 instance?

To launch an H100 instance on Cyfuture AI, sign up for an account on the Cyfuture AI platform, log in to the dashboard, select an H100 GPU configuration like 1H100.16v.256m SXM, configure storage and networking, and click launch to deploy the instance in minutes. Connect via SSH using the provided credentials to access your GPU resources.?

Step-by-Step Launch Guide

Cyfuture AI simplifies launching H100 instances through its GPU as a Service platform, offering pay-as-you-go pricing and scalable NVIDIA H100 SXM configurations optimized for AI workloads like LLM training and inference.?

Start by creating an account at cyfuture.ai and logging into the dashboard, where you navigate to the compute or GPU section to browse H100 options such as 1xH100 (96GB memory, $3.51/hour on-demand) up to 8xH100 clusters. Select an AI-optimized image with Ubuntu, pre-installed CUDA, PyTorch, or TensorFlow, then allocate SSD storage for datasets and configure VPC networking for secure access.?

Review pricing tiers—on-demand at $3.51/hour for single H100 or reserved discounts up to 35% for 12 months—before launching; the instance provisions instantly with NVLink connectivity for multi-GPU performance up to 3.6TB/s bandwidth. Post-launch, verify the H100 with nvidia-smi via SSH, install frameworks like pip install torch --index-url https://download.pytorch.org/whl/cu118, and monitor utilization for optimal mixed-precision training. This process eliminates hardware costs, providing 80GB HBM3 memory and 67 TFLOPS FP32 performance tailored for deep learning.?

Cyfuture AI's dashboard supports effortless scaling, allowing you to adjust instances for workload spikes while benefiting from 24/7 support and enterprise security.?

Conclusion

Launching an H100 instance on Cyfuture AI delivers enterprise-grade AI acceleration without upfront infrastructure investments, enabling rapid deployment for training, inference, or analytics with competitive pricing and high reliability. Businesses leverage this for scalable GPU clusters, achieving up to 30x faster LLM inference compared to prior generations. Choose Cyfuture AI to focus on innovation over management.?

Follow-up Questions & Answers

What are the pricing options for H100 instances?

Cyfuture AI offers on-demand pricing starting at $3.51/hour for 1xH100, with reserved discounts: 10% for 1 month ($3.16), 20% for 6 months ($2.81), and 33% for 12 months ($2.34); multi-GPU scales proportionally.?

How do I verify the H100 GPU after launch?

SSH into the instance and run nvidia-smi to display H100 details, confirming drivers and CUDA; expect 80GB HBM3 memory and Hopper architecture specs.?

Can I scale to multi-GPU setups?

Yes, select 2x, 4x, or 8x H100 configurations with NVLink for up to 900GB/s peer-to-peer bandwidth, ideal for distributed training via PyTorch or TensorFlow.?

What OS and frameworks are pre-supported?

Ubuntu 20.04 or AI-optimized images come with NVIDIA drivers, CUDA 12, cuDNN, TensorFlow-GPU, and PyTorch; additional installs use pip for JAX or TensorRT.?

Is there support for Docker deployment?

Absolutely—post-launch, build and run containers like docker build -t my-ai-model . and docker run -p 5000:5000 my-ai-model for scalable model serving.?