ENTERPRISE SOLUTIONS

AI Infrastructure for Enterprise at Scale

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

AI compute 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 the Overhead

Focus on the work with bare metal 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 bare metal the preferred solution for enterprise?

Glad you asked. Bare metal access 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

No hypervisors. No resource contention.
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.

With QumulusAI, You Get

  • Bare Metal NVIDIA Server Access (Including H200)

  • Priority Access to Next-Gen GPUs as They Release

  • 2x AMD EPYC or Intel Xeon CPUs Per Node

  • Up to 3072 GB RAM and 30 TB All-NVMe Storage

  • Predictable Reserved Pricing with No Hidden Fees

  • Included Expert Support from Day One

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

    → Click for more information.

  • GPUs Per Server: 8
    vRAM/GPU: 141 GB
    CPU Type: 2x Intel Xeon Platinum 8568Y or 2x AMD EPYC 9454
    vCPUs: 192
    RAM: 3072 GB or 2048 GB
    Storage: 30 TB
    Pricing: Custom

    → Click for more information.

  • GPUs Per Server: 8
    vRAM/GPU: 80 GB
    CPU Type: 2x Intel Xeon Platinum 8468
    vCPUs: 192
    RAM: 2048 GB
    Storage: 30 TB
    Pricing: Custom

    → Click for more information.

  • GPUs Per Server: 8
    vRAM/GPU: 94 GB
    CPU Type: 2x AMD EPYC 9374F
    vCPUs: 128
    RAM: 1536 GB
    Storage: 30 TB
    Pricing: Custom

    → Click for more information.

  • GPUs Per Server: 8
    vRAM/GPU: 24 GB
    CPU Type: 2x AMD EPYC 9374F or 2x AMD EPYC 9174F
    vCPUs: 128 or 64
    RAM: 768 GB or 348 GB
    Storage: 15.36 TB or 1.28 TB
    Pricing: Custom

    → Click for more information.

  • GPUs Per Server: 8
    vRAM/GPU: 16 GB
    CPU Type: Varies (16-24 Cores)
    vCPUs: 64
    RAM: 256 GB
    Storage: 3.84TB
    Pricing: Custom

    → Click for more information.

  • GPU Types: A5000, 4000 Ada, and A4000
    GPUs Per Server: 4-10
    vRAM/GPU: 16-24
    CPU Type: Varies (16-24 Cores)
    vCPUs: 40-64
    RAM: 128 GB - 512 GB
    Storage: 1.8 TB - 7.68 TB
    Pricing: Custom

    → Click for more information.

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.