AI STARTUP SOLUTIONSAI Cloud for the Startup Ecosystem
QumulusAI Cloud delivers supercompute designed for the speed, flexibility, and control AI startups need—without the lock-ins, waitlists, or guesswork.
Build better (and faster) with an AI cloud that scales with you.
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 infrastructure shouldn't be either.
Performance Without Overhead
QumulusAI Cloud access means no surprises, reduced latency, and no compromised runs — just high 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 QumulusAI Cloud 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.
Cost Scaling
Choose from a shared AI cloud environment, dedicated GPUs, or reserved bare metal clusters to meet your budget.
No Vendor Lock-in
Run your jobs when and how you want. No queues. No resource contention.
Flexible Access
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.
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.
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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 -
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 -
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 -
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 -
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 -
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 -
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
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.