Dedicated GPU Hosting for AI Workloads
Your own 96 GB GPU on a flat monthly rate—no hourly meter, no noisy neighbors, no procurement cycle
Newbloom AI provisions dedicated AI compute for teams that have outgrown metered cloud GPUs: a modern NVIDIA RTX PRO 6000 Blackwell-class GPU with 96 GB of VRAM, reserved entirely for you, hosted in Minnesota on hardware that is never shared, oversubscribed, or preempted. From $895/month flat.
Reservations are how we keep it honest: we provision hardware against your signed reservation rather than overselling a shared pool—so your GPU is yours, full stop. Because we hold supply relationships locally, a signed reservation is typically live in days, not procurement cycles. Bring your own stack over SSH and containers, or have us stand up the serving layer (vLLM, model deployment, monitoring) for you.
If what you actually need is the outcome rather than the hardware—drafting, summarization, and document Q&A for a firm handling confidential data—our managed private AI service includes the dedicated GPU plus setup, models, and a named engineer, starting at $1,500/month. We'll tell you plainly which one fits.
Direct Procurement Contact
Aaron Newbloom, Operations Manager
What You Reserve
- Dedicated NVIDIA RTX PRO 6000 Blackwell-class GPU — 96 GB VRAM, ECC memory
- Single-tenant by design: no shared pool, no oversubscription, no preemption
- Modern multi-core CPU, high-bandwidth RAM, and fast NVMe storage
- Fiber connectivity from our Minnesota location
- Root/container access—run vLLM, PyTorch, fine-tuning, whatever you need
- From $895/month flat · no hourly meter · no egress fees
Why Reserved Beats Metered
- Predictable cost: heavy usage on metered clouds routinely exceeds $1,400/month per GPU
- 96 GB VRAM runs 70B-class models and serious fine-tuning without sharding gymnastics
- Your data stays on your dedicated machine in Minnesota—single tenant, defined retention
- Direct line to the engineer who runs your hardware—not a ticket queue
- Upgrade path to fully managed private AI when you want outcomes, not ops
- Veteran-owned Minnesota firm—meet the people who run your compute
Dedicated GPU hosting questions
What technical teams evaluating reserved GPU capacity ask us most.
Different product. Marketplaces and GPU clouds sell metered, often multi-tenant capacity that's excellent for burst and experimentation—if that's your workload, use them and we'll say so. We sell the opposite: a single-tenant machine reserved for you on a flat monthly rate, in Minnesota, with a named engineer. It's for sustained workloads where metered pricing gets expensive, preemption is unacceptable, or your data can't sit on a shared platform.
The reference configuration is an NVIDIA RTX PRO 6000 Blackwell-class GPU—96 GB of ECC VRAM, the practical sweet spot for 70B-class inference and LoRA fine-tuning—in a workstation-class chassis with a modern multi-core CPU, high-bandwidth RAM, and NVMe storage. Exact specifications are confirmed in your reservation quote, and we provision hardware against your signed reservation, so what you reserve is what you get: never a slice of an oversold pool.
Days, not procurement cycles. Because capacity is provisioned per reservation from locally available hardware, the timeline is: signed reservation, hardware provisioned and burned in, access handed over—typically within days. Compare that to enterprise cloud onboarding or an internal hardware purchase approval.
Yes, at three levels: bare access (you get root and run everything), serving-layer setup (we stand up vLLM or your inference server, then hand over), or fully managed private AI—where the GPU is included and we run models, monitoring, and support for a flat rate starting at $1,500/month. Most technical teams start bare; most firms without an ML engineer should look at managed first.
A simple monthly reservation agreement with terms quoted up front—reservation length, price, specifications, and support scope in writing before you commit. No hourly metering, no egress fees, no automatic overage charges. Planned maintenance windows are scheduled with you; we're honest that a dedicated single machine trades five-nines redundancy for price and privacy, and we design around it together.
Newbloom AI—a Minnesota-based, SBA-Certified Service-Disabled Veteran-Owned Small Business. Our founders operate Lot Lingo, a production AI platform that has processed over 500,000 items, and we work in the Department of Defense SBIR ecosystem. Your GPU is run by engineers who run production AI on the same class of hardware daily. Call (612) 314-5586 or email humans@newbloomai.com to talk through a reservation.
Ready to talk?
Direct line to Aaron Newbloom. No forms to fill out — call or email and you'll hear back within one business day.