RTX 4090 rental

Ada Lovelace GeForce for CUDA workloads, inference and GPU rendering.

$0.712/ hour
Specifications

Consider ASUS GX10 for LLMs

Choosing RTX 4090 to run a language model? Compare your workload with ASUS Ascent GX10 rental: NVIDIA GB10 and 128 GB of unified CPU and GPU memory on one node.

Request one ASUS system for inference and RAG, or a pair for parallel workloads. Compare model and context memory, ARM64 support and the time needed for a trial run. GX10 unified memory and dedicated VRAM have different trade-offs.

RTX 4090 or ASUS GX10 for LLMs

ASUS Ascent GX10

128 GB unified memory · NVIDIA GB10 · one system or a pair. Availability and software are agreed for your workload.

$5.07from$1.07/ hour“from” rate for rentals of 169 hours or more
Offer ends in—d—h—m—s
ASUS rates and specifications

Workloads for this GPU configuration

01

Single-GPU inference

Start with a model and context that fit within 24 GB together with runtime overhead.

02

Generative AI prototypes

Test image generation and data processing with a reproducible set of examples.

03

GPU rendering

Compare quality and frame time in a renderer that supports Ada Lovelace.

Software compatibility

  • The GPU has 24 GB of GDDR6X. Include runtime memory and working buffers in the total.
  • Long contexts and concurrent requests use memory beyond the model weights.
  • For batch processing, first measure peak memory use for one job.
What to include in a request

Rent RTX 4090

Provide your model, software environment and rental period. We will confirm the rate, availability and connection method before the rental starts.

$0.712/ hour

About this configuration

How much memory does RTX 4090 have?

The GPU has 24 GB of GDDR6X. Include runtime memory and working buffers in the total.

Can I fine-tune a model on RTX 4090?

It depends on the model, sequence length and training method. Specify full fine-tuning or adapters, precision and batch size; the weights file alone does not show training memory requirements.

How do I request this configuration?

This configuration is open for rental requests. Share your workload, preferred dates and duration. Hardware availability, pricing and access dates are confirmed individually; a request does not create a confirmed booking.