How much GPU memory does ESG-BERT need?

About 1.8 GB: 0.22 GB of weights and the runtime's own memory.

What is the cheapest GPU to run ESG-BERT?

Right now one RTX 3060 at $0.09 an hour; RTX 5090 at $0.57 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.

Can ESG-BERT run on an RTX 4090?

Yes: it needs about 1.8 GB and an RTX 4090 has 24 GB.

How do I deploy ESG-BERT as an API?

Pick a machine on its GridPup page and press Deploy: GridPup rents the GPU, downloads the model from Hugging Face and serves it at an https address with keys, billed by the hour.

Models / ESG-BERT

nbroad/ESG-BERT

Classification · served with vLLM · ↓ 3.2K downloads a month · View on Hugging Face

nbroad/ESG-BERT needs about 1.8 GB of GPU memory. It runs on one RTX 3060 from $0.09/h right now; best value: RTX 5090 at $0.57/h.

Weights: 220 MB
GPU memory needed: about 1.8 GB
Model allows: 512 tokens
Memory · disk: 8 GB · 41 GB
Architecture: BertForSequenceClassification
Licence: not stated

Hardware and deploy

Endpoint name

$0.57/h from your balance while it runs, billed by the hour; stop it from its page. GridPup rents the machine, which downloads the model from Hugging Face (usually ready in 10 to 15 minutes), and gives you an https address, keys and a Playground.

Questions

How much GPU memory does ESG-BERT need?: About 1.8 GB: 0.22 GB of weights and the runtime's own memory.
What is the cheapest GPU to run ESG-BERT?: Right now one RTX 3060 at $0.09 an hour; RTX 5090 at $0.57 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can ESG-BERT run on an RTX 4090?: Yes: it needs about 1.8 GB and an RTX 4090 has 24 GB.
How do I deploy ESG-BERT as an API?: Pick a machine on its GridPup page and press Deploy: GridPup rents the GPU, downloads the model from Hugging Face and serves it at an https address with keys, billed by the hour.

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