// RUN ON DATACENTER GPU

Run ETCHR on Datacenter GPU hardware

13 options with enough VRAM (FP16), ranked by headroom.

HardwareVRAMFits FP16?Headroom~Price
AMD Instinct MI325X → 256 GB yes ~216 GB
NVIDIA B200 → 192 GB yes ~157.1 GB
AMD Instinct MI300X 192GB → 192 GB yes ~157.1 GB ~$15,000
NVIDIA H200 → 141 GB yes ~110.2 GB
Intel Gaudi 3 → 128 GB yes ~98.3 GB
NVIDIA RTX PRO 6000 Blackwell → 96 GB yes ~68.8 GB ~$8,500
NVIDIA H100 SXM5 80GB → 80 GB yes ~54.1 GB ~$30,000
NVIDIA A100 SXM4 80GB → 80 GB yes ~54.1 GB ~$15,000
NVIDIA H100 PCIe 80GB → 80 GB yes ~54.1 GB ~$25,000
NVIDIA A100 PCIe 80GB → 80 GB yes ~54.1 GB ~$12,000
NVIDIA RTX 6000 Ada 48GB → 48 GB yes ~24.7 GB ~$6,800
AMD Radeon Pro W7900 48GB → 48 GB yes ~24.7 GB ~$3,999
NVIDIA L40S 48GB → 48 GB yes ~24.7 GB ~$10,000

VRAM fit at FP16 (lower precision needs less). We don't estimate generation speed for image/video/audio — it depends on tool, resolution and steps.

FAQ

What Datacenter GPU hardware can run ETCHR?

On GenAIList, 13 Datacenter GPU GPUs have enough VRAM to hold ETCHR at FP16 — the most headroom is on the AMD Instinct MI325X (256 GB).

How fast is ETCHR on Datacenter GPU hardware?

We don't estimate generation speed for image/video/audio models — it depends on the tool, resolution and step count. This page ranks by which hardware fits the model in memory.