Show HN: Llmspeed – feel how fast a local LLM runs before you buy the hardware
Considering a new GPU for your local AI adventures? llmspeed.dev is here to save you from buyer's remorse, offering a practical way to "feel" how different hardware configurations handle various LLMs. This Show HN resonates with the growing crowd experimenting with local models, providing a valuable pre-purchase performance preview.
The Lowdown
Tired of guessing how your next hardware upgrade will perform with large language models? llmspeed.dev offers a straightforward solution, letting users simulate and visualize the speed of local LLMs on various hardware setups before making a purchase.
- The platform allows users to select specific hardware components and LLM models.
- It then estimates key performance metrics, such as tokens per second (tok/s) and Time To First Token (TTFT).
- The primary goal is to provide a tangible sense of the model's responsiveness, helping users understand the "feel" of its speed rather than just raw numbers.
- This interactive preview aims to inform purchasing decisions, ensuring that investments in new hardware align with desired LLM performance expectations.
In essence, llmspeed.dev acts as a virtual test drive for your future AI rig, making the complex decision of hardware compatibility and performance for local LLMs much more accessible.