Low stock

NVIDIA HGX B300: only 9 GPUs left at $4,899/mo, 25% below market.Only 9 B300 left at $4,899/mo

Configure B300

Enterprise

Enterprise GPU capacity without the lock-in.

Dedicated GPU servers with invoicing, a DPA, security documentation and a named engineer, at least 25% below the market median and renewed month by month.

  • Servers from $6,996/mo
  • At least 25% below market
  • Root access in < 60 s
The problem

What slows teams down today

01

Procurement friction

Long vendor onboarding for capacity you need this month.

02

Compliance questions

Security and data-processing terms must be clear before data moves.

03

Budget predictability

Usage-based GPU bills are hard to approve in advance.

How CoreGPU fits

Dedicated GPUs, a monthly price, no surprises

Every server is racked, tested and imaged before it goes on sale, so you get root access in under a minute and a bill you know in advance.

  • Invoices, purchase orders and bank wire
  • A DPA and security documentation
  • Dedicated hardware with secure erase between customers
  • A named engineer for onboarding and support
Recommended servers

Configurations our engineers recommend

Live stock and the monthly price of the whole server. Open a GPU page to configure it.

Recommended

8× H2001.13 TB HBM3e · Hopper

A standard 8-GPU node for internal LLM platforms.

$21,592 /mo34 available
Configure
Alternative

8× B2001.44 TB HBM3e · Blackwell

Training and fine-tuning throughput for model teams.

$35,592 /moBack Nov 20
Join waitlist
Alternative

4× MI300X768 GB HBM3 · CDNA 3

Cost-efficient serving of large open models.

$6,996 /mo41 available
Configure
FAQ

Enterprise: common questions

Another question? Our engineers answer within one business day.

Contact us
Do you support purchase orders?

Yes. Contact sales with your procurement requirements.

Where is our data processed?

On the dedicated servers you rent. See Data centers and our DPA.

Can you meet custom security requirements?

Tell us what you need; see Security for our baseline controls.

Other solutions

Tell us about your workload

Model size, context length, deadline and budget: we reply with the right GPU and server count within one business day.

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