H100 PCIe on QuantaCloud
Visit QuantaCloudQuantaCloud offers the NVIDIA H100 PCIe GPU with 80GB of VRAM for cloud-based machine learning and AI workloads. This enterprise-tier GPU based on the Hopper architecture provides the compute power needed for training and inference tasks. QuantaCloud's platform allows you to provision NVIDIA H100 PCIe instances on-demand, scaling resources based on your project requirements. Whether you're fine-tuning models, running batch inference, or developing new ML applications, this GPU option provides professional-grade compute accessible through the cloud.
Why NVIDIA H100 PCIe on QuantaCloud?
Choosing NVIDIA H100 PCIe on QuantaCloud gives you access to enterprise-grade GPU compute through QuantaCloud's cloud infrastructure. This combination is suitable for teams looking for 80GB of GPU memory without managing physical hardware.
Live Pricing
Real-time NVIDIA H100 PCIe offers from QuantaCloud
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 QuantaCloud | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 64 vCPU 512GB RAM 5000GB Storage | Midwest | $2.59/GPU/hr $10.36/hr total (4×) | Sold Out | ||
QuantaCloud | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 40 vCPU 256GB RAM 2500GB Storage | Midwest | $2.59/GPU/hr $5.18/hr total (2×) | Sold Out | ||
QuantaCloud | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 126 vCPU 768GB RAM 10000GB Storage | 🌍global | $2.59/GPU/hr $20.72/hr total (8×) | Sold Out | ||
QuantaCloud | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 64 vCPU 512GB RAM 5000GB Storage | 🌍global | $2.59/GPU/hr $10.36/hr total (4×) | Sold Out | ||
QuantaCloud | NVIDIA H100 PCIe 80GB VRAM | 80GB | 20 vCPU 128GB RAM 1250GB Storage | Midwest | $2.59/GPU/hr | Available |
Performance Notes
The NVIDIA H100 PCIe delivers high-end performance for ML workloads. With 80GB VRAM, it can handle large language models and extensive batch sizes. Actual performance will depend on your specific workload, data pipeline efficiency, and how well your code utilizes the GPU.
VRAM
80GB
Architecture
Hopper
Tier
enterprise
Platform Features
Getting Started
Getting started with NVIDIA H100 PCIe on QuantaCloud involves creating an account, selecting your instance configuration, and launching your GPU instance. Most users can have a NVIDIA H100 PCIe instance running within minutes of signup.
Steps
- 1Visit https://quantacloud.net and create an account
- 2Complete account verification and add a payment method
- 3Browse available GPU instances and select NVIDIA H100 PCIe
- 4Configure your instance (OS, storage, networking)
- 5Launch the instance and connect via SSH or web interface
Pro Tips
- Check current availability before planning large-scale deployments
- Use the provider's cost calculator to estimate expenses
- Start with a small test workload to verify compatibility with your code
Frequently Asked Questions
What is QuantaCloud's billing model for NVIDIA H100 PCIe?▾
QuantaCloud bills unknown for GPU instances including NVIDIA H100 PCIe. Check their pricing page for the most current billing details.
Does QuantaCloud offer spot instances for NVIDIA H100 PCIe?▾
No, QuantaCloud does not currently offer spot instances for NVIDIA H100 PCIe. All instances are billed at on-demand rates. Consider their pricing structure carefully for cost-sensitive workloads.
How can I access NVIDIA H100 PCIe instances on QuantaCloud?▾
QuantaCloud provides access to NVIDIA H100 PCIe instances via standard access methods.
What compliance certifications does QuantaCloud have for NVIDIA H100 PCIe workloads?▾
QuantaCloud does not have publicly listed compliance certifications. If your workloads require specific compliance standards (SOC 2, HIPAA, GDPR, etc.), contact them directly to discuss your requirements or consider a provider with the necessary certifications.
Can I use NVIDIA H100 PCIe with Kubernetes on QuantaCloud?▾
QuantaCloud does not prominently advertise native Kubernetes support. You may need to manage your own Kubernetes cluster or use alternative orchestration methods. Check their documentation for the latest information on container orchestration options.
What are the specifications of the NVIDIA H100 PCIe?▾
The NVIDIA H100 PCIe features 80GB of high-bandwidth memory, built on NVIDIA's Hopper architecture. As an enterprise-tier GPU, it's designed for large-scale AI training, inference at scale, and demanding HPC workloads. The substantial VRAM capacity supports large language models, complex neural networks, and multi-model deployments.
What workloads is NVIDIA H100 PCIe on QuantaCloud best suited for?▾
The NVIDIA H100 PCIe on QuantaCloud is well-suited for large-scale AI/ML training, LLM fine-tuning, batch inference at scale, and high-performance computing workloads. Consider your model size, training data volume, and latency requirements when evaluating this combination for your specific use case.
How do I get started with NVIDIA H100 PCIe on QuantaCloud?▾
To get started with NVIDIA H100 PCIe on QuantaCloud, visit https://quantacloud.net to create an account. Most providers offer a straightforward signup process, and some provide initial credits for new users. Once registered, you can typically launch a NVIDIA H100 PCIe instance within minutes through their dashboard or API. We recommend starting with a small experiment to familiarize yourself with the platform before scaling up to larger workloads.
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