AI STARTUP SOLUTIONS

AI Infrastructure for Startups, VCs, and Accelerators

QumulusAI delivers bare metal supercompute designed for the speed, flexibility, and control AI startups need—without the lock-ins, waitlists, or guesswork.

Build better (and faster) with AI infrastructure that scales.

AI startups need to move fast, train aggressively, and scale without getting boxed in by generic clouds or rigid credit programs. Whether you’re preparing your first demo or fine-tuning a production model, your infrastructure should match your ambition.

QumulusAI offers startup deployments that prioritize:

  • Immediate access to high-performance, dedicated GPUs

  • Reserved capacity that supports consistent iteration

  • Transparent pricing aligned with your runway

  • Flexible deployments for individual teams or full cohorts

Your vision isn't small. Your infrastrucutre shouldn't be either.

Performance Without the Overhead

Bare metal access means no surprises, no shared latency, and no compromised runs — just raw performance tailored to your training and inference needs.

Total Infrastructure Control

Deploy, monitor, and tune your environment without vendor constraints. Run what you want, how you want, with no pre-imposed stack limitations.

Predictable, Transparent Pricing

Plan your burn rate without guessing. No surprise fees, no complex billing tiers, no overages you didn’t see coming.

Why is bare metal the preferred solution for startups?

When you’re trying to get to market, raise capital, or scale a technical team—you can’t afford infrastructure friction and unpredictability.

No Shared Resources

What you reserve is what you get. Full-stack control removes uncertainty.

No Vendor Lock-in

Run your jobs when and how you want. No queues. No resource contention.

Scales With You

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

Works for Portfolios, Too

Accelerators, and VCs can centralize infrastructure access for their entire cohort — with shared oversight.

Use Cases We Power

Early Stage
Startups

  • Foundational model training and fine-tuning

  • Preparing investor demos with high-performance inference

  • Building internal tools using LLMs or multi-modal AI

Accelerators &
Incubators

  • Shared infrastructure for startup cohorts

  • Centralized compute access with flexible resource assignment

  • Support for diverse workloads and tech stacks

Venture Capital
Portfolios

  • Enable faster GTM timelines by solving compute bottlenecks

  • Custom deployment plans across multiple companies

  • Optional long-term reserved infrastructure as strategic support

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

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  • 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

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

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  • 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

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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
    Pricing: Custom

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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
    Pricing: Custom

    → Click for more information.

Let's take this to the next level.

We’ve built our platform to support visionaries — whether you’re in week one or year three. Let’s talk about how we can help your team scale smarter and faster.