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I'm running a 120B local LLM on 24GB of VRAM, and now it powers my smart home
Paired with Whisper for quick voice to text transcription, we can transcribe text, ship the transcription to our local LLM, ...
This is no normal mini PC, as the price highlights, but the power and expansion options offer serious potential.
February 19, 2024 Add as a preferred source on Google Add as a preferred source on Google You don't need a cloud app to access these LLMs though—you can run them on your own computer too. You can ...
Chat With RTX works on Windows PCs equipped with NVIDIA GeForce RTX 30 or 40 Series GPUs with at least 8GB of VRAM. It uses a combination of retrieval-augmented generation (RAG), NVIDIA TensorRT-LLM ...
Have you ever wondered how to harness the power of advanced AI models on your home or work Mac or PC without relying on external servers or cloud-based solutions? For many, the idea of running large ...
Deploying a custom language model (LLM) can be a complex task that requires careful planning and execution. For those looking to serve a broad user base, the infrastructure you choose is critical.
For the last few years, the term “AI PC” has basically meant little more than “a lightweight portable laptop with a neural processing unit (NPU).” Today, two years after the glitzy launch of NPUs with ...
Dell has just unleashed its new PowerEdge XE9712 with NVIDIA GB200 NVL72 AI servers, with 30x faster real-time LLM performance over the H100 AI GPU. Dell Technologies' new AI Factory with NVIDIA sees ...
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A startup focused on customizing large language models for enterprises reveals its embrace of AMD’s Instinct MI200 GPUs and ROCm platform as the chip designer mounts its largest offensive yet against ...
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