New calculator accurately estimates LLM GPU memory needs

A new calculator called the StudioTV LLM VRAM Calculator has been developed to accurately estimate the GPU memory required to run large language models. Unlike previous methods that often overestimated memory needs, this tool accounts for the complex KV cache allocation specific to various modern model architectures, such as sliding-window, linear, latent, and compressed attention. The calculator supports numerous models from Hugging Face, various GPU configurations, and different inference engines, providing detailed insights into memory usage, speed, and cost-effectiveness compared to API services. AI

IMPACT Enables users to more accurately determine hardware needs for running LLMs, potentially lowering adoption barriers.

RANK_REASON The item describes a new software tool that helps users estimate hardware requirements for running LLMs.

Read on dev.to — LLM tag →

• DeepSeek-R1
• DeepSeek-V4 Flash
• Gemma 4.31B
• Hugging Face
• llama
• llama.cpp
• LM Studio
• Ollama
• Qwen3.6 35B-A3B
• RTX 5090
• SGLang
• StudioTV LLM VRAM Calculator
• TensorRT-LLM
• vLLM

• infra
• product

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