RESEARCH SOLUTIONS

AI Cloud for Research at Scale

QumulusAI Cloud delivers supercompute optimized for academic and institutional research—with the control, performance, and transparency your projects require.

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Accelerate discovery with an AI cloud built for research.

From grant-backed projects to long-term labs and emerging innovation hubs, today’s research institutions need more than GPU access—they need supercompute infrastructure built to scale with evolving demands, cross-departmental users, and compliance protocols.

QumulusAI supports fast, focused innovation by offering:

  • Direct access to dedicated GPU resources

  • Consistent performance for multi-user environments

  • Predictable costs aligned to grant cycles and institutional budgets

  • Custom deployments for labs, departments, or full campuses

Purpose-built HPC for research that pulls the future forward.

Performance Without Overhead

Focus on the research with access to premium server configurations optimized for high-throughput training and low-latency inference.

Total Infrastructure Control

Your projects and data stay isolated, auditable, and accessible — with full-stack visibility and user-level customization.

Predictable, Transparent Pricing

No hidden fees, no variable billing. Our pricing model fits the expectations of academic institutions and publicly funded initiatives.

Why is QumulusAI Cloud the preferred solution for research?

Whether you’re operating a single lab or coordinating across multiple departments, our AI cloud enables research to happen faster—with fewer limitations, delays, or compromises.

Consistent Performance

Experiments get consistent runtime — critical for reproducibility and multi-phase projects.

Total Runtime Control

With bare metal clusters, you eliminate hypervisors and resource contention, while gaining full-stack visibility.

Guaranteed Availability

Secure priority access to infrastructure without waiting on vendor quotas or spot markets.

Aligned with Standards

Supports academic data governance, FERPA compliance, and customizable user permissions.

Use Cases We Power

Foundational
Research

  • Training or fine-tuning models across scientific domains

  • Cross-disciplinary AI initiatives

  • Infrastructure support for grant-funded labs

Applied
Innovation

  • Life sciences, materials research, and climate modeling

  • Social science applications of NLP and LLMs

  • Engineering and simulation-based design

Institutional
Scaling

  • Shared GPU resources across research clusters

  • AI centers supporting student/faculty innovation

  • Long-term infrastructure for university consortia

Let's talk tech specs.

Any GPU. Three Cloud Products. Single Integrated Platform.

  • QumulusAI Cloud: Shared GPU access for inference, fine-tuning, and experimentation. Scale elastically in single-GPU increments with transparent, usage-based pricing.

  • QumulusAI Cloud Pro: Dedicated 1:1 GPUs or multi-GPU nodes for model training, optimization, and continuous deployment. Perfect for startups or teams scaling production workloads.

  • QumulusAI Cloud Pure: Full bare-metal clusters for hyperscale training and enterprise-grade control. No virtualization, no contention—maximum performance and predictability.

  • GPUs Per Server: 8
    vRAM/GPU: 288 GB
    CPU Type: 2x Intel Xeon 6767P 64Cores/128Threads
    CPU Speed: 2.4 GHz (base) / 2.8 GHz (boost)
    vCPUs: 256
    RAM: 3072 GB
    Storage: 30 TB

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  • GPUs Per Server: 8
    vRAM/GPU: 192 GB
    CPU Type: 2x Intel Xeon Platinum 6960P (72 cores & 144 threads)
    CPU Speed: 2.0 GHz (base) / 3.8 GHz (boost)
    vCPUs: 144
    RAM: 3072 GB
    Storage: 30.72 TB

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  • GPUs Per Server: 8
    vRAM/GPU: 96 GB
    CPU Type: 2x Xeon Platinum 8562Y+ 32Cores/64Threads
    CPU Speed: 2.8 GHz (base) / 3.9 GHz (boost)
    vCPUs: 128
    RAM: 1152 GB

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  • GPUs Per Server: 8
    vRAM/GPU: 141 GB
    CPU Type: 2x Xeon Platinum 8568Y+ 48Core/96Threads
    CPU Speed: 2.7 GHz (base) / 3.9 GHz (boost)
    vCPUs: 192
    RAM: 3072 GB or 2048 GB
    RAM Speed: 4800Mhz
    Storage: 30 TB

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  • GPUs Per Server: 8
    vRAM/GPU: 80 GB
    CPU Type: 2x Intel Xeon Platinum 8468
    CPU Speed: 2.1 GHz (base) / 3.8 GHz (boost)
    vCPUs: 192
    RAM: 2048 GB
    RAM Speed: 4800Mhz
    Storage: 30 TB

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  • GPUs Per Server: 8
    vRAM/GPU: 94 GB
    CPU Type: 2x AMD EPYC 9374F
    CPU Speed: 3.85 GHz (base) / 4.3 GHz (boost)
    vCPUs: 128
    RAM: 1536 GB
    RAM Speed: 4800Mhz
    Storage: 30 TB

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  • GPUs Per Server: 8
    vRAM/GPU: 24 GB
    CPU Type: 2x AMD EPYC 9374F or 2x AMD EPYC 9174F
    CPU Speed: 3.85 GHz (base) / 4.3 GHz (boost)
    vCPUs: 128 or 64
    RAM: 768 GB or 348 GB
    Storage: 15.36 TB or 1.28 TB

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Let’s take this to the next level.

We understand the complexities of academic procurement and the pressure to deliver results with limited resources. That’s why we tailor every deployment to your research priorities, your budget, and your timeline.

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