Right-Size GPU and CPU Resources Using Kubernetes – DZone

The rapid rise of AI services has created a massive demand for computing resources, making efficient management of those resources a critical challenge. While running AI workloads with Kubernetes has come a long way, optimizing scheduling based on dynamic demand...

October 25, 2024

Nebius is tripling Nvidia GPU capacity at its AI data centre in Finland

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Nebius is tripling Nvidia GPU capacity at its AI data centre in Finland

“Welcome on board. I have been tasked with taking you to Mäntsälä — in the middle of nowhere,” the minivan driver greets us in the characteristic clear and unhurried intonations of a Finnish native speaker. Mäntsälä is, indeed, in the...

October 8, 2024

Hammerspace Empowers GPU Computing – DZone

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Hammerspace Empowers GPU Computing – DZone

Hammerspace Tackles the Challenges of GPU Computing Hammerspace, a pioneer in data orchestration, recently announced a significant advancement in its Global Data Platform during the 56th IT Press Tour. With the addition of the S3 interface, Hammerspace now enables S3...

June 27, 2024

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Run AI Models Offline: No GPU Required

In recent years, the tech world has been buzzing with discussions about artificial intelligence (AI). AI is revolutionizing various industries, much like how the internet transformed our lives. Among the many AI tools available, GPT4ALL stands out as a free,...

June 24, 2024

Azure Monitoring Tools for GPU Usage and Cost Optimization

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Azure Monitoring Tools for GPU Usage and Cost Optimization

Introduction Azure GPU (Graphics Processing Unit) is a type of specialized computing resource available on the Microsoft Azure cloud platform. It offers high performance computing power for a variety of tasks, ranging from artificial intelligence and deep learning to high-end...

April 14, 2024

More expansive GPU doesn’t mean better always actually in many case in AI. Here a great example.

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More expansive GPU doesn’t mean better always actually in many case in AI. Here a great example.

More expansive GPU doesn’t mean better always actually in many case in AI. Here a great example. When using our state of the art SUPIR upscaler look at the cheap L40S vs RTX A6000 Ada I have used RunPod for...

April 9, 2024

Fine-tuning LLM on your laptop: VRAM vs Shared Memory vs GPU Load, Performance Considerations

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Fine-tuning LLM on your laptop: VRAM vs Shared Memory vs GPU Load, Performance Considerations

I have been playing with Supervised Fine Tuning and LORA using my laptop with NVIDIA RTX 4060 8GB. The subject of SFT is vast, picking the correct training hyperparams is more magic than science, and there’s a good deal of...

April 8, 2024

Setup LiveBook/Elixir to run Nx lib with Torchx (with GPU) on Macbook(Apple Silicon)

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Setup LiveBook/Elixir to run Nx lib with Torchx (with GPU) on Macbook(Apple Silicon)

If you want to run Elixir Nx library for machine learning on Macbook/Mac Mini/Mac Studio with Metal (GPU) for Apple Silicon you can simple follow steps. Setup and config Pytorch. Install asdf if you don’t have one. Follow below script...

March 23, 2024

Better GPU Cluster Scheduling with Runhouse

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Better GPU Cluster Scheduling with Runhouse

The simple act of “send my code to my cluster and run it” is surprisingly challenging for most AI teams. Numerous AI deployment systems have been built around model checkpoints or containerized pipelines, but if you just have some Python...

March 15, 2024

Running Local LLMs, CPU vs. GPU – a Quick Speed Test

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Running Local LLMs, CPU vs. GPU – a Quick Speed Test

Today, tools like LM Studio make it easy to find, download, and run large language models on consumer-grade hardware. A typical quantized 7B model (a model with 7 billion parameters which are squeezed into 8 bits each or even smaller)...

March 11, 2024