Tag: GPU

Compute without Constraints: Serverless GPU + LLM = Endless Possibilities

For developers working with large language models, the constraints of hardware can often hold back the boundaries of what’s possible. In fact securing access to GPUs requires a lot of upfront investment and technical overhead. For developers working with large language models, the constrain...

Train Instruct LLMs On Your GPU with DeepSpeed Chat — Step #1: Supervised Fine-tuning

Instruct large language models (LLMs) have become extremely popular since the release of ChatGPT by OpenAI. We can now find online many chat models mimicking the behavior of ChatGPT (since many of them are actually trained on ChatGPT’s outputs) and fine-tuned for different domains. OpenAI d...

Databricks introduces a public preview of GPU and LLM optimization support for Databricks Model Serving

Main AI News: Databricks has unveiled its latest innovation: the public preview of GPU and LLM optimization support for Databricks Model Serving. This transformative feature empowers users to effortlessly deploy a diverse array of AI models, including LLMs and Vision models, directly onto the Lak...

Utilizing NVIDIA GPU for Specific Applications on Linux: A Simple Script Approach

In a typical Linux setup, especially on systems with both integrated and dedicated GPUs, it’s common to have applications use the integrated GPU by default to save power. However, there are scenarios where the power of a dedicated NVIDIA GPU is required to run graphic-intensive applications. F...