QuantaCloud80GB VRAMHopperenterprise

H100 PCIe on QuantaCloud

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QuantaCloud 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

9 listed, none in stock
QuantaCloud
QuantaCloud
Midwest
Sold Out
NVIDIA H100 PCIe
80GB VRAM
20 vCPU
128GB RAM
1250GB Storage
$2.59/GPU/hr
QuantaCloud
QuantaCloud
🌍global
Sold Out
NVIDIA H100 PCIe8x
80GB VRAM
126 vCPU
768GB RAM
10000GB Storage
$2.59/GPU/hr
$20.72/hr total (8×)
QuantaCloud
QuantaCloud
Midwest
Sold Out
NVIDIA H100 PCIe4x
80GB VRAM
64 vCPU
512GB RAM
5000GB Storage
$2.59/GPU/hr
$10.36/hr total (4×)
QuantaCloud
QuantaCloud
Midwest
Sold Out
NVIDIA H100 PCIe2x
80GB VRAM
40 vCPU
256GB RAM
2500GB Storage
$2.59/GPU/hr
$5.18/hr total (2×)
QuantaCloud
QuantaCloud
🌍global
Sold Out
NVIDIA H100 PCIe4x
80GB VRAM
64 vCPU
512GB RAM
5000GB Storage
$2.59/GPU/hr
$10.36/hr total (4×)

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.

About QuantaCloud

NVIDIA H100 PCIe Specs

VRAM

80GB

Architecture

Hopper

Tier

enterprise

Platform Features

Access Methods
SSH
Jupyter Notebooks
Web Terminal
API
Kubernetes
Containers
Billing Options
Incrementunknown
Spot Instances
Reserved Instances
Prepaid Credits
Compliance
SOC 2
HIPAA
GDPR
ISO 27001

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

  1. 1Visit https://quantacloud.net and create an account
  2. 2Complete account verification and add a payment method
  3. 3Browse available GPU instances and select NVIDIA H100 PCIe
  4. 4Configure your instance (OS, storage, networking)
  5. 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.

Related Pages

Compare H100 PCIe Across Providers

The H100 PCIe is available from 13 providers on GPUPerHour. Here is how other providers compare:

For a full comparison across all providers, see the H100 PCIe rental page. See all GPUs on QuantaCloud.