Being a data scientist, we know, it’s hard work developing your learning models. As you know, rarely you get learning models right at first attempt. You need to test the model, address any underfitting and overfitting issues, and tune the hyperparameters to optimize the learning models.
For all this, you should be able to tap into faster and cheaper GPU-Accelerated computing. Because, more time taken for training your learning models implies that you might have to compromise on the quality of the model you develop, or you have to wait longer to deliver the next AI breakthrough.
As a data scientist, you design and develop the learning models, and E2E GPU Cloud delivers word-class GPU acceleration for your workloads and saves up to 70% costs when compared to other cloud GPU providers in the Indian region.
E2E GPU Cloud delivers GPU Instances based on Tesla V100 — the most advanced data center GPU ever built — and NVIDIA T4, which provides breakthrough AI inference performance. The best part is, even though the GPU Instances live in the Cloud, the GPU cards come dedicatedly attached to the Cloud Instances; that is, you can tap into the 100% performance of the GPU cards, leading to faster time to deliver.
Both NVIDIA T4 and Tesla V100 are equipped with Tensor Cores — a revolutionary technology that can accelerate matrix operations — the heart of AI and machine learning workloads — and perform mixed-precision matrix multiply and accumulate calculations in a single operation.
Your job as a data scientist gets even easier with NVIDIA GPU-Accelerated Containers (NGC Containers). NGC Containers deliver easy-to-use and powerful software for deep learning and machine learning and let you focus more on delivering optimal results and breakthrough innovations.
You can tap into E2E GPU Cloud by spending as low as ₹30 per hour for a GPU Instance based on NVIDIA T4. Maybe you can train your learning models over a weekend with just the cost of a pizza.
Click here for more details on the E2E GPU Cloud plans and pricing.