Accelerate your AI development projects with H100 cloud GPU
Unlock breakthrough AI performance with dedicated NVIDIA H100 cloud GPUs engineered for the most demanding machine learning workloads.
Get access to NVIDIA H100 GPUs in the cloud with zero hassle
The NVIDIA H100 Tensor Core GPU is one of the latest breakthroughs in accelerating AI technology. Built on the advanced Hopper microarchitecture, the H100 delivers unprecedented computational power with 80GB of high-bandwidth memory and fourth-generation Tensor Cores. They’re ideal for use cases like large language model training, deep learning research, and high-performance inference. With its Transformer Engine and support for mixed-precision computing, the H100 provides the computational foundation that modern AI applications need for breakthrough performance and scale.
Gradient GPU Droplets give you direct, on-demand access to enterprise-grade NVIDIA H100 GPUs—no infrastructure to manage. Spin up the horsepower you need and start building the next AI app, whether training a foundation model, prototyping a diffusion network, or serving real-time inference for millions of users.
Gradient GPU Droplet capabilities
Advanced hopper architecture
Thread block clusters: Parallel processing capabilities for complex AI workloads. Tensor memory accelerator (TMA): Data movement between memory hierarchies. 4th generation tensor cores: Matrix computation performance for transformer models 80GB. HBM3 memory: Memory capacity for the largest language models and datasets
Enterprise-grade infrastructure
Zero to GPU in 2 clicks: Deploy H100 instances in under 60 seconds. Global availability: Access H100 GPUs across NYC2, TOR1, and ATL1 data centers. High-performance networking: 10 Gbps public and 25 Gbps private network bandwidth. HIPAA-eligible & SOC 2 compliant: Enterprise security and compliance standards
Flexible deployment options
On-demand access: Pay-per-use pricing with no long-term commitments. Reserved instances: Significant savings for predictable workloads. Spot pricing: Cost-effective options for fault-tolerant applications. Multi-GPU configurations: Scale from single GPU to 8-GPU clusters
Optimized AI development environment
Pre-configured software stacks: PyTorch, TensorFlow, JAX, and Hugging Face libraries. Containerized deployments: Docker and Kubernetes support for reproducible environments. 24/7 expert support: Trusted support team for mission-critical applications
Benefits of building on an H100 cloud GPU
Unmatched performance for AI workloads
Experience up to 4X faster LLM training compared to previous generation GPUs. The H100’s specialized architecture delivers exceptional performance for transformer models, computer vision applications, and reinforcement learning tasks. LLM GPU compute demands are met with 80GB of high-bandwidth memory and advanced Tensor Cores optimized for AI operations.
Cost-effective AI compute infrastructure
Save up to 75% on GPU training costs compared to hyperscalers while accessing the same enterprise-grade H100 hardware. Our transparent cloud GPU pricing model eliminates surprise charges and provides predictable costs for AI development projects of any scale.
Accelerated time-to-market
Deploy AI compute infrastructure in minutes, not hours. The best GPU cloud platform experience means less time managing infrastructure and more time focused on AI innovation. Rapid deployment capabilities enable faster experimentation and quicker iteration cycles for research and development teams.
Enterprise security and reliability
Built for mission-critical AI applications with HIPAA-eligible and SOC 2-compliant infrastructure. Enterprise-grade SLAs ensure your AI training workloads run with maximum uptime and reliability, backed by our decade of cloud infrastructure expertise.
Use cases of H100 cloud GPU
Large language model development
The H100 GPU delivers the computational power needed for training state-of-the-art transformer models with billions of parameters. With 80GB of memory capacity and advanced Tensor Cores, it provides the resources required for next-generation language models. Its distributed training capabilities allow seamless scaling across multiple H100 instances to handle even the largest model architectures.
Computer vision and image processing
Develop sophisticated computer vision applications with optimized performance for convolutional neural networks, vision transformers, and diffusion models. The H100’s parallel processing capabilities excel at image classification, object detection, and generative AI applications requiring massive computational throughput.
Scientific research and simulation
The H100’s double-precision performance accelerates scientific computing, molecular dynamics, and complex simulations. Research teams benefit from flexible resource allocation for hyperparameter tuning and model architecture exploration.
Real-time inference and production deployment
Deploy high-performance inference applications with minimal latency. The H100’s inference optimization features enable real-time AI applications in industries like healthcare, finance, and autonomous systems, where millisecond response times are critical.
Performance comparison
H100 vs A100 cloud GPU performance
Training speed: Up to 4X faster for GPT-3 (175B) parameter models
Memory capacity: 80GB vs 40GB/80GB configurations
Memory bandwidth: 3TB/s vs 1.6TB/s for data-intensive workloads
Tensor performance: 4th gen Tensor Cores vs 3rd gen for AI operations
Benchmark results
BERT training: 60% faster convergence times
ResNet-50 training: 3.2X throughput improvement
GPT-3 inference: 50% lower latency with higher throughput
Diffusion model training: 2.8X faster iteration times
Cost-performance analysis
DigitalOcean's H100 cloud GPU pricing delivers exceptional value with up to 75% cost savings compared to hyperscalers
Combining competitive cloud GPU pricing and superior performance creates the most cost-effective AI training and inference workloads solution.
FAQs
What is the NVIDIA H100 GPU?
The NVIDIA H100 GPU is a cutting-edge AI accelerator built on the Hopper architecture. It features 4th-generation Tensor Cores, 80GB HBM3 memory, and thread block clusters for unprecedented AI performance. It’s specifically designed for large language model training, deep learning research, and high-performance inference applications.
Why choose H100 cloud GPUs?
H100 cloud GPUs provide up to 4X faster training performance than previous-generation GPUs, with 80GB memory capacity for the largest AI models. Cloud deployment eliminates hardware procurement costs and maintenance overhead, providing instant scalability and enterprise-grade reliability.
Which cloud providers offer H100 GPUs?
DigitalOcean offers H100 cloud GPUs with industry-leading pricing, simplified deployment, and enterprise-grade support. Our platform provides up to 75% cost savings compared to hyperscalers while maintaining the same high-performance hardware and reliability standards.