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Prices come straight from each cloud and update every 15 minutes. Prices are per GPU per hour in US dollars; a month is 720 hours.

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jina-clip-v2: GPU requirements and price to run | GridPup

Models / xlm-roberta-flash-implementation

jinaai/jina-clip-v2

Embeddings (features) · served with ONNX Runtime · ↓ 65K downloads a month · View on Hugging Face

Weights: 3.5 GB
GPU memory needed: about 6.2 GB
Memory · disk: 10.9 GB · 32 GB
Licence: cc-by-nc-4.0

Versions

Smaller versions (8-bit, 4-bit) need less GPU memory and answer a little less precisely.

full precisiononnx/model.onnx3.5 GB · 6.2 GB GPU 4-bit (bnb)onnx/model_bnb4.onnx1.4 GB · 3.1 GB GPU float16onnx/model_fp16.onnx1.7 GB · 3.6 GB GPU 8-bitonnx/model_int8.onnx870 MB · 2.3 GB GPU 4-bitonnx/model_q4.onnx1.4 GB · 3.1 GB GPU 4-bit, float16onnx/model_q4f16.onnx860 MB · 2.3 GB GPU 8-bitonnx/model_quantized.onnx870 MB · 2.3 GB GPU 8-bitonnx/model_uint8.onnx870 MB · 2.3 GB GPU

Hardware and deploy

Deploying ONNX models from the catalog is coming soon. Today, download the files from Hugging Face and upload them in Inference.

Prices are per hour for the whole machine and its disk, right now. Speed is Vast's DLPerf score of the machine, relative to the cheapest. Best value: the most speed per dollar. Only machines with a Vast reliability above 95% that download at 400 Mbit/s or more are offered: the machine fetches the model itself.