Breaking AI’s Biggest Barriers

QumulusAI provides on-demand and bare metal GPU compute for breakthrough performance and reliability in large-scale AI workloads. Train massive models, deploy production inference, and streamline complex AI pipelines on enterprise-grade GPU infrastructure.

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This isn’t hyperscale as you know it. It’s hyperspeed.

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This isn’t hyperscale as you know it. It’s hyperspeed. //

Hyperscale AI clouds are built for headlines. Our hyperspeed AI cloud is built for you.

From single GPU instances to bare metal clusters, the QumulusAI Cloud product suite removes the constraints of legacy HPC and delivers a flexible, cost efficient platform for today’s AI workloads. And tomorrow’s too.


Shared GPUs

Flexible GPU access for inference, prototyping, and fine-tuning—delivering significant cost savings over traditional clouds.

  • Subscription-based GPU pool

  • Scale in single-GPU increments

  • On-demand or reserved options

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Dedicated GPUs

Dedicated compute for training and advanced workloads with guaranteed access and flexible scaling.

  • Guaranteed 1:1 GPUs

  • Choose 2, 4, or 8 GPU increments

  • On-demand or reserved options

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Bare Metal Clusters

Maximize performance and control by eliminating the hypervisor layer for large-scale model training and fine-tuning.

  • Exclusive 1:1 nodes

  • Deploy in single or multi-node increments

  • Reservations beginning at one month

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Train faster, deploy smarter, and push limits further on the only platform for every AI workload.

Networking

Ultra-low latency networking with InfiniBand connectivity for distributed training.

Storage Solutions

High-performance distributed storage optimized for every AI workload.

Support

Our AI infrastructure specialists are ready to help optimize your workloads.

Half the cost. Double the performance.

QumulusAI delivers purpose-built HPC with all-inclusive pricing and premium care—no surprises, no hidden costs. You’ll finally be able to focus on your workloads without blowing your budget.

Crystal Clear Transparent Pricing

QumulusAI only offers straightforward, all-inclusive pricing—so you know exactly what you’re paying for. Low headline rates that hide ingress/egress fees, storage costs, and premium support upcharges always end up costing more, not less.

Custom Quotes for Custom Compute

We customize pricing based on volume, reservation length, and wholesale partnerships, delivering unmatched cost efficiency for your AI workloads. Your compute needs aren’t one-size-fits-all—your pricing shouldn’t be either.

Predictable Costs for Forecasting

QumulusAI’s transparent, all-inclusive pricing keeps AI infrastructure costs low and makes long-term planning effortless — both for the immediate future and the out years. Work with the peace of mind that your projects are fully supported.

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Integrated infrastructure. Infinite scalability.

We run the entire stack. That means better performance, greater control, and more predictable costs than with other providers reliant on third-party vendors.


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GPU Cloud

Shared, dedicated, and bare metal access to the latest NVIDIA GPUs, engineered for data-intensive AI training and inference workloads.

  • Ultra-low latency networking: Optimized for high-speed, high-throughput workloads.

  • High-bandwidth NVMe storage: Seamless dataset access for uninterrupted processing.

  • No virtualization overhead: Direct control over compute resources for peak efficiency.


Icon of three stacked HPC servers

Data Centers

QumulusAI operates AI-first facilities with technology forecasting that keeps you ahead of the market with next generation HPC.

  • Tier 3+ data centers: Maximum uptime, optimized for sustained AI operations without interruption.

  • Liquid & air-cooled systems: Prevent performance throttling under extreme loads targeting sub 1.1 PUE.

  • Strategically designed: Sub-50MW data factories built for the future of HPC.


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Power Gen

QumulusAI accesses power at its source—balancing on-grid stability with off-grid resilience, while legacy clouds remain dependent on energy markets.

  • On- & Off-Grid Flexibility: Our energy agreements and off-grid capabilities ensure uninterrupted HPC availability.

  • Natural Gas-Powered Compute: 10+ year fixed agreements lock in low-cost power for predictable pricing.

  • Reduced Third-Party Dependencies: Direct control over power eliminates market volatility.

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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)
    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: 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: 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: 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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  • 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

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

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