Demo Mode — all data is illustrative. No real GPUs are deployed, no payments are processed, and no API keys are issued.
Choose an NVIDIA data-center GPU and deploy it through a supported provider.
Architecture
Workload
Minimum VRAM
5 GPU models
NVIDIA · Ada Lovelace
24
GB VRAM
Energy-efficient inference for small and mid-size models, video and vision workloads.
NVIDIA · Ada Lovelace
48
GB VRAM
Versatile GPU for LLM inference, fine-tuning, generative image models and 3D rendering.
NVIDIA · Ampere
80
GB VRAM
Proven data-center workhorse for distributed training and large-batch inference.
NVIDIA · Hopper
80
GB VRAM
Transformer Engine with FP8 support for frontier-scale training and high-throughput serving.
NVIDIA · Hopper
141
GB VRAM
Largest memory footprint in the Hopper family for long-context LLMs and memory-bound workloads.