Flexible Resource Scaling

Our dynamic resource allocation system allows you to scale computing power as your research needs evolve, from initial experimentation to massive parallel workloads.

NVIDIA A100 GPU cluster with cooling architecture

Scaling Philosophy

Beyond Traditional Cloud Models

Unlike conventional cloud services with unpredictable pricing based on minute-by-minute usage, Quantum Oasis employs a reservation model that aligns with academic research workflows and funding structures.

Reserve precisely the computing resources you need – from a single GPU for prototype development to entire clusters for large-scale experiments – with predictable costs that can be budgeted in advance.

Resource allocation approach

Research-Centric Design

Our infrastructure is built specifically for scientific computing workloads, with specialized hardware configurations, optimized interconnects, and software environments tailored to research applications.

Each resource allocation includes access to our team of data scientists who understand both the technical aspects of high-performance computing and the domain-specific challenges of academic research.

Specialized infrastructure

GPU Computing Resources

NVIDIA A100 GPU Clusters

Our state-of-the-art GPU clusters feature the latest NVIDIA A100 Tensor Core GPUs, specifically designed for AI training and inference workloads. Each A100 GPU delivers exceptional performance for deep learning, data analytics, and scientific computing applications.

Key specifications:

Up to 312 teraFLOPS of TF32 performance per GPU
40GB or 80GB HBM2e memory options
Multi-instance GPU (MIG) technology for partitioning
NVLink high-speed interconnects
Optimized for major AI frameworks (TensorFlow, PyTorch, etc.)
Docker and Kubernetes integration

Our GPU clusters are configured for both single-node performance and distributed training across multiple nodes, giving researchers the flexibility to scale their workloads as needed.

CPU Computing Resources

Modern server room with high-performance computing racks

High-Performance CPU Nodes

Our CPU clusters provide massive parallel computing power for simulations, data processing, and applications that benefit from high core counts and large memory configurations.

Key specifications:

Latest AMD EPYC and Intel Xeon processors
Up to 128 cores per node
Memory configurations from 256GB to 4TB per node
High-performance local NVMe storage
Low-latency InfiniBand networking
Optimized for MPI and OpenMP workloads
Containerized environments for reproducible research

Our CPU infrastructure is designed for exceptional performance across a wide range of scientific applications, from computational fluid dynamics to genomics and beyond.

Flexible Reservation Options

Hourly Reservations

Perfect for exploratory research, testing, and development work. Reserve computing resources for as little as one hour, with the ability to extend your reservation if needed.

Hourly reservations provide maximum flexibility for researchers who need immediate access to computing power without long-term commitments.

Short-term flexibility

Weekly Allocations

Ideal for intensive research sprints and time-sensitive projects. Weekly reservations offer a balance between flexibility and cost efficiency for medium-duration workloads.

Schedule your resources in advance to ensure availability during critical research phases, with priority access and dedicated support.

Medium-term projects

Monthly Commitments

Our most cost-effective option for ongoing research programs and large-scale projects. Lock in significant discounts with monthly reservations while maintaining the flexibility to adjust your resource allocation as needed.

Monthly commitments include enhanced support, dedicated storage resources, and custom software environment configuration.

Long-term research

Grant-Aligned Packages

We understand the unique constraints of grant funding cycles. Our grant-aligned packages allow you to match your computing resource allocation to your grant budget and timeline.

Academic and technical professionals in a meeting room

We provide all the documentation needed for grant applications and reporting, making it easy to include high-performance computing resources in your research proposals.

Academic funding alignment

Scaling Use Cases

AI Model Training

Start with a single GPU for model development and prototyping, then scale to multiple GPUs or entire clusters for training large neural networks. Our infrastructure supports seamless scaling for deep learning workloads, with optimized frameworks and efficient data pipelines.

Data Analysis

Process everything from gigabyte-scale datasets on a single node to petabyte-scale data across distributed clusters. Our flexible scaling allows researchers to match computing resources to their data volume, with specialized configurations for data-intensive applications.

Simulation Workloads

Run complex simulations across multiple CPU nodes with high-speed interconnects for efficient parallel processing. Scale from small-scale test simulations to massive production runs with consistent environments and predictable performance.

Resource Management

User-Friendly Portal

Our intuitive management portal makes it easy to reserve, monitor, and adjust your computing resources. Track usage, manage jobs, and access performance metrics through a single interface designed specifically for researchers.

The portal provides real-time visibility into resource utilization and job status, helping you optimize your workflow and maximize the value of your computing allocation.

Control interface

Expert Support

Our team of data scientists and HPC specialists is available to help you optimize your workloads, troubleshoot issues, and make the most effective use of your computing resources.

From software environment configuration to workflow optimization, our experts provide guidance at every stage of your research project, ensuring you achieve maximum performance and efficiency.

Technical assistance

Custom Environments

We provide containerized environments that can be customized to your specific research requirements, ensuring reproducibility and consistent performance across scaling operations.

Our infrastructure supports Docker and Singularity containers, allowing you to bring your own environment or work with our team to create optimized configurations for your workloads.

Workflow consistency

Ready to Scale Your Research?

Contact our team to discuss your specific computing requirements and develop a customized scaling plan for your research project.

Get in Touch