Superior Performance

V100 accelerator delivers outstanding performance for HPC and AI, making it ideal for demanding inference jobs.

Advanced Architecture

Built on NVIDIA's Volta architecture, it integrates Tensor Cores for accelerated AI processing, delivering unmatched performance for machine learning tasks

H100 Specification

• GPU: 2x Nvidia H100 80GB

• CPU: 2 x AMD Epyc 7542

• RAM: 64GB per GPU

• Storage: 1TB NVMe SSD

• Network: up to 15 Gbps

• Location: Amsterdam, Netherlands

In partnership with

NovoServe is an Infrastructure-as-a-Service (IaaS) hosting provider, with Tier 3 data centers in the Netherlands.

• Enterprise-grade HPE G9 and G10 systems

• Custom SuperMicro servers for GPU or storage needs

• Up 1 PetaByte storage capacity

• Cutting-edge NVME storage up to 30TB per drive

• Dual 10 or 25Gbit server connectivity, upgradable to 50Gbps

• Guaranteed server availability with ample stock

Hardware

• No egress fees

• 800Gbps top-of-rack switch connectivity for high throughput

• Multiple Amsterdam PoP connections for Internet stability

• Extensive peering with 15+ Tbit/s uplink capacity

• Largest AMS-IX connection at 1.6 Tbit/s and direct links to China's main carriers

• ISO 27001 certification for enhanced data protection

• Integrated Apolo security features

• Comprehensive SLA with transparency

• Full customer access to server settings and BIOS via secure interfaces only

Network

Security

• All server operations powered by green, renewable wind and solar energy

• Commitment to eco-friendly practices in the Netherlands

• Strategic partnerships for sustainable technology use

Sustainability

• Quick replacement with minimal downtime in the event of hardware failure

• Automated OS installation with custom setup options

• Proactive hardware health monitoring for preventative maintenance

• Clear and concise SLA with no hidden clauses

• Responsive, personalized support from dedicated teams

• Expert advice on optimal configurations for specific tasks

Reliability

Support

Transparent and fair pricing

H100 GPU

1-6 Months

7-12 Months

12+ Months

$6.08 / hour

No "bait-and-switch" tactics, no ingress fees. Just simple all-in-one prices for dedicated high-end GPU resources from a dependable data center, with integrated AI development tools and MLOps support.

$5.65 / hour

$5.35 / hour

Every plan includes preinstalled out-of-the-box AI development tools within Apolo Ecosystem

• Transparent budgeting & control of AI development costs

• Resource agnosticism: mix and match Nvidia and AMD cards in one cluster

• Simple scaling

• Interoperability with best-in-breed ML/DL tools, libraries, and SDKs

• A unified environment with
  CLI, API, and web interfaces

• Remote Collaboration

• Reduction of the CO2 footprint of your AI development

H100 GPUs

Training Use Cases

Computer Vision Model Training for Autonomous Vehicles: Demonstrate the training of advanced computer vision models for autonomous vehicles using the NVIDIA H100. Leverage its high-performance computing capabilities to process complex visual data and train deep learning algorithms for tasks like object detection, lane detection, and pedestrian recognition. Highlight how the H100 accelerates the development of reliable and safe autonomous driving systems through faster iteration cycles and enhanced model accuracy.

Natural Language Processing (NLP) Model Training: Train a state-of-the-art natural language processing model using the NVIDIA H100. Utilize its powerful capabilities to process large volumes of text data, enabling faster training times and higher model accuracy. Showcase how the H100 accelerates the training process, leading to more efficient NLP solutions for various applications such as sentiment analysis, language translation, and text summarization.

Drug Discovery and Molecular Simulation: Illustrate the use of the NVIDIA H100 for accelerating drug discovery and molecular simulation tasks. Showcase its ability to handle massive datasets and perform complex calculations required for molecular dynamics simulations, protein folding predictions, and virtual screening of drug candidates. Highlight how the H100 enables researchers to expedite the drug discovery process, leading to the development of new therapeutics and treatments for various diseases.

Deep Learning Training for Healthcare Diagnostics: Showcase the application of the NVIDIA H100 in training deep learning models for healthcare diagnostics. Highlight its role in processing medical imaging data such as MRI scans, CT scans, and X-rays to facilitate disease detection and diagnosis. Emphasize how the H100 accelerates the training of convolutional neural networks (CNNs) and other deep learning architectures, empowering healthcare professionals with faster and more accurate diagnostic tools for conditions ranging from cancer detection to neurological disorders.

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