Rent NVIDIA H100 80GB GPU Cloud

The NVIDIA H100 is the most powerful data center GPU NVIDIA has ever built, designed specifically for the AI era. Based on the Hopper architecture, it delivers 3,958 TFLOPS of FP8 performance and 3.35 TB/s memory bandwidth - roughly 3* faster than the A100 for transformer model training. You need it when your workloads demand maximum throughput: training LLMs with 30B+ parameters, running fine-tuning at scale, serving millions of inference requests per day, or doing scientific simulation at petaflop scale.

The H100 SXM uses NVIDIA's proprietary SXM socket, enabling NVLink 4.0 interconnect with 900 GB/s GPU-to-GPU bandwidth and 3.35 TB/s memory bandwidth. It's the preferred choice for multi-GPU training of large models. The H100 PCIe connects via the standard PCIe Gen5 interface at 2.04 TB/s and 350W TDP - lower cost, more flexible deployment, ideal for inference and single-GPU fine-tuning. Both variants have 80 GB HBM3 memory.

Yes. All H100 GPU configurations on Cyfuture AI are available on demand - no waitlists, no quota approvals, and no minimum commitment. You pay by the minute. For dedicated reservation of large clusters (16+ GPUs), we recommend booking in advance through our sales team to guarantee capacity.

Cyfuture AI H100 instances come pre-configured with PyTorch (with CUDA 12.x), TensorFlow, JAX, Hugging Face Transformers, NCCL for distributed training, TensorRT-LLM for optimised inference, vLLM for high-throughput serving, and NVIDIA RAPIDS for GPU-accelerated data science. Jupyter notebooks and SSH access are available from first launch.

For transformer-based LLM training, yes - the H100 is up to 3* faster than the A100. The fourth-generation Tensor Cores with FP8 precision and the dedicated Transformer Engine deliver significantly higher throughput for models like Llama 3, Mixtral, and Falcon. For inference workloads on models under 30B parameters, or for teams on a tighter budget, an A100 cloud instance may offer better price-performance.

Yes. Cyfuture operates data centers within India, giving Indian enterprises sub-20ms latency for domestic users, data residency for DPDP compliance, INR billing to eliminate currency risk, and a support team operating in IST business hours. We have served Indian enterprises - including government and financial services clients - for over two decades.

Multi-GPU H100 SXM instances on Cyfuture AI use NVLink 4.0 for GPU-to-GPU communication at 900 GB/s per GPU. External networking between instances is available at 100 GbE. For custom high-performance InfiniBand networking on large private clusters, contact our enterprise team.