ENTERPRISE SOLUTIONS

AI Cloud for Enterprise at Scale

QumulusAI delivers shared GPUs, dedicated GPUs, and bare metal clusters optimized for enterprise-grade AI workloads—with the control, performance, and transparency hyperscalers can’t match.

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Your AI cloud is a strategic asset. Deploy it like one.

Enterprise AI moves fast—launching models, building internal tools, and developing at scale. You require more than HPC; you need infrastructure designed for performance, control, and long-term adaptability.

Our fully integrated solution offers enterprise AI teams:

  • Direct access to premium, dedicated GPU resources

  • Consistent performance at scale

  • Predictable cost structure with zero hidden fees

  • Custom deployment plans aligned with your roadmap

We deliver HPC optimized for developers (and their C-suites).

Performance Without Overhead

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

Total Infrastructure Control

Your environment is yours alone. Reserved instances eliminate resource contention and offer full visibility into performance, tuning, and usage.

Predictable, Transparent Pricing

Benefit from a pricing model with no hidden fees — allowing you to budget confidently and avoid surprises for one month, one year, or beyond.

Why is QumulusAI Cloud the preferred solution for enterprise?

Glad you asked. Our AI cloud unlocks a level of performance, reliability, and control that shared and virtualized environments can’t match—especially at scale.

Peak Performance

Run large batch training jobs, high-throughput inferencing, and multi-modal workloads without compromise.

Total Runtime Control

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

Security & Compliance

Dedicated resources offer improved isolation, traceability, and security posture aligned with governance requirements.

Guaranteed Availability

Reserved infrastructure means you can plan confidently — and execute without surprise delays.

Use Cases We Power

Model Training
& Tuning

  • Large language model development

  • Vision-language systems

  • Fine-tuning on proprietary data

Inference
& Deployment

  • Low-latency inferencing for customer-facing products

  • Internal enterprise tools powered by foundation models

Industry
Applications

  • Predictive analytics in finance, healthcare, and logistics

  • Simulation-driven R&D in biotech, pharma, and manufacturing

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

Our enterprise deployments start with a conversation—not a pricing calculator. We know every AI workflow is unique, and we think your infrastructure should be, too.

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