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Bright AI
Run DeepSeek 16B locally on only 4GB of GPU VRAM
Bright AI is a proprietary local inference system that runs DeepSeek-Coder-V2-Lite-Instruct 16B locally on an NVIDIA RTX 2050 with only 4GB of dedicated VRAM. It uses no CPU inference offloading, stores no model weights in system RAM, and does not use llama.cpp or Ollama. We are seeking technical validation, benchmarking, licensing, investment, and partnerships. View the demo on Hugging Face and support the Space with a like.
About Bright AI on Product Hunt
“Run DeepSeek 16B locally on only 4GB of GPU VRAM”
Bright AI was submitted on Product Hunt and earned 0 upvotes and 0 comments, placing #60 on the daily leaderboard. Bright AI is a proprietary local inference system that runs DeepSeek-Coder-V2-Lite-Instruct 16B locally on an NVIDIA RTX 2050 with only 4GB of dedicated VRAM. It uses no CPU inference offloading, stores no model weights in system RAM, and does not use llama.cpp or Ollama. We are seeking technical validation, benchmarking, licensing, investment, and partnerships. View the demo on Hugging Face and support the Space with a like.
On the analytics side, Bright AI competes within OpenAI Day — topics that collectively have 12 followers on Product Hunt. The dashboard above tracks how Bright AI performed against the three products that launched closest to it on the same day.
Who hunted Bright AI?
Bright AI was hunted by Grow_ToDo_List. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Bright AI including community comment highlights and product details, visit the product overview.