AI Cloud Instance
Our cloud service makes it easy to deploy container-based GPU instances in seconds, from either public or private repositories. This means that you can get started with GPU computing quickly and easily, without having to worry about managing your own hardware.
Cloud Computing
Mine anytime, anywhere with ease! We'll take care of the tedious processes so you can sit back and relax while enjoying the rewards. Start mining in just a few clicks!
Minerplus
Having trouble managing your data center? We are ready to assist with deploying one-stop management systems.
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Imagine the Universe
Elevate your creative pursuits with our revolutionary Image Generation tool. It's more than just manifesting your ideas; it's about reimagining what was once thought impossible. Whether you're a novice or an expert, our tool offers a range of customizable features that suit your requirements. Explore an unparalleled blend of user-friendly functionality and robust performance, meticulously crafted to serve creators of all backgrounds.
Advanced AI Chat
Harness the power of sophisticated search capabilities and seamless access to a wealth of knowledge and insights to enhance your research and decision-making processes.
Refine Expertise
Enhance your models by fine-tuning with our proprietary open-source or premium components. Tailor your model to perfection and achieve superior performance. With our product, you're not merely employing a tool; you become the authentic sorcerer of your masterpiece.
Open-source models available
| Name | Description | Size | Usage |
|---|---|---|---|
| ConvBERTbase | A Natural Language Processing (NLP) Model implemented in Transformer library, generally using the Python programming | 700GB | 100 |
| BART | A transformer encoder-decoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder | 699GB | 101 |
| SapBERT | A pretraining scheme that self-aligns the representation space of biomedical entities | 698GB | 102 |
| BART-base | A transformer encoder-decoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder | 697GB | 103 |
| UMLSBert_ENG | Knowledge infused cross-lingual medical term embedding for term normalization | 696GB | 104 |
| WavLM-Large | Large model pretrained on 16kHz sampled speech audio | 695GB | 105 |
Partnership with NVIDIA NGC
Accelerate your AI workloads with GPU-optimized Models
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