
94% savings over
Google Cloud
Google Cloud
No hourly rates,
no usage limits.
no usage limits.
100%
private
private
On-premises deployment keeps your data secure.
Up to 48GB
GPU RAM
GPU RAM
Train and run models with 1 or 2 cards RTX 4090D configuration.
Cloud bills vs EdgeAI.
Deploy once. Run thousands of models without watching the meter.
Your data stays in your loop.
Run AI workloads locally. No internet required. No data leaves your infrastructure.

Built for 24/7 AI training.
Ready for your most demanding workloads.
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Keep cards cool. 4 fans, 800 vents.

I/O for AI workflows.
1x USB-C 3.2 Gen 2x2
1x USB-C 3.2 Gen 2
8x USB-A 2.0
10G + 2.5G Ethernet
2x DisplayPort GPU
1x USB-C 3.2 Gen 2
8x USB-A 2.0
10G + 2.5G Ethernet
2x DisplayPort GPU
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Built to flow. Geometric pattern channels airflow like ancient pyramid ventilation. Each triangle houses your computational power.

RTX 4090D for the best performance per dollar.
Deliver over a petaflop of AI performance. It empowers your team with scalable inference, fine-tuned models, agent systems, and heavy compute tasks.
Up to
48 GB
GDDR6X VRAM memory
294 TFLOPS
F32 tensor performance
2016 GB/s
memory bandwidth
14,952
CUDA cores
512
Tensor cores
64 GB/s
PCle 4.0 x 16 bandwidth
And that's fast.
RTX 4090 is 3x faster than Apple M2 Ultra for demanding AI workloads.
Accelerated Development
Enhanced Productivity
Content Generation
Immersive Gaming
Relative Performance (tokens per second)
Model Training/Fine Tuning of BERT-Base-Cased, GeForce RTX 4090 using mixed precision | Code assist is Code llama 13B Int4 inference performance INSEQ=100, OUTSEQ=100 batch size 1
SourceNVIDIA
Run the models that matter.
Most popular models work out of the box. No vendor lock-in.

8B • 70B • 405B
Meta's flagship reasoning model

7B • 13B • 34B
Meta's flagship reasoning model

7B • 22B
Fast and efficient for production

9B • 27B
Google's lightweight powerhouse

7B • 14B • 32B
Strong multilingual performance

6.7B • 33B
Built specifically for developers
Choose your configuration.
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