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

Solutions · Rendering

Render, simulate and generate on dedicated GPUs.

RTX PRO 6000 Blackwell and L40S servers with RT cores, large frame buffers and video engines, for rendering, VFX, digital twins and image or video generation.

  • Servers from $3,396/mo
  • At least 25% below market
  • Root access in < 60 s
The problem

What slows teams down today

01

Render farms billed per frame or hour

Costs are hard to predict across a production month.

02

Frame buffers too small

Large scenes and textures do not fit on consumer cards.

03

Shared nodes

Inconsistent performance when nodes are shared with other tenants.

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.

  • 96 GB (RTX PRO 6000) or 48 GB (L40S) per card
  • RT cores and hardware video encode/decode
  • Up to 8 cards per server, dedicated to you
  • A flat monthly price for the whole production
Recommended servers

Configurations our engineers recommend

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

Recommended

4× RTX PRO 6000384 GB GDDR7 · Blackwell

384 GB of GDDR7 across four Blackwell cards.

$4,796 /mo52 available
Configure
Alternative

8× RTX PRO 6000768 GB GDDR7 · Blackwell

A full 8-card render node.

$9,592 /mo52 available
Configure
Alternative

4× L40S192 GB GDDR6 · Ada Lovelace

The lowest monthly price for classic rendering and VFX.

$3,396 /mo38 available
Configure
FAQ

Rendering & simulation: common questions

Another question? Our engineers answer within one business day.

Contact us
Which renderers are supported?

Any GPU renderer that runs on Linux with NVIDIA drivers, such as Blender Cycles, OctaneRender or V-Ray GPU, subject to your own licences.

Can I use these GPUs for video generation?

Yes. RTX PRO 6000 adds FP4 Tensor Cores and 96 GB of memory, well suited to diffusion and video models.

Is there a remote desktop?

You get root SSH access; you can install the remote desktop or streaming tool of your choice.

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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