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GPU

Fine-Tuning Open Source LLMs: Complete Infrastructure Guide 2024

Master LLM fine-tuning infrastructure with Kubernetes, GPU optimization, and distributed training. Includes YAML configs, troubleshooting, and cost optimization.
Collabnix Team
5 min read

From Prototype to Production: Scaling LLM Applications in Kubernetes

Learn to scale LLM applications from prototype to production with Kubernetes, vLLM, and best practices for GPU resource management and cost...
Collabnix Team
5 min read

Kubernetes Autoscaling for LLM Inference: Complete Guide (2024)

Master Kubernetes autoscaling for LLM inference workloads. Learn HPA, KEDA, VPA configuration with practical examples for efficient GPU utilization.
Collabnix Team
5 min read

Is NPU better than GPU?

When discussing hardware acceleration for AI workloads, both Neural Processing Units (NPUs) and Graphics Processing Units (GPUs) are leading technologies. However,...
Adesoji Alu
4 min read

Using Docker GenAI Stack with GPU for Generative AI Models

Introducing the Docker GenAI Stack, a set of open-source tools that simplify the development and deployment of Generative AI applications. With...
Ajeet Raina
5 min read

Docker, Prometheus & Pushgateway for NVIDIA GPU Metrics & Monitoring

In my last blog post, I talked about how to get started with NVIDIA docker & interaction with NVIDIA GPU system. I...
Ajeet Raina
3 min read
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