Feb 28, 07:43 PM

Inception Labs Launches Mercury Coder on NVIDIA H100 GPUs, Achieving 10x Faster Text Generation at 1,000 Tokens/Second, 19x Faster Than GPT-4o Mini

Inception Labs has launched Mercury Coder, a new AI language model that employs diffusion techniques to achieve text generation speeds up to 10 times faster than existing models. Mercury Coder can generate over 1,000 tokens per second when running on NVIDIA H100 GPUs, representing a significant advancement in AI text generation capabilities. This model utilizes a parallel coarse-to-fine approach, enabling near-instant outputs while maintaining high-quality responses at lower costs. Mercury Coder is the first large-scale diffusion large language model (dLLM) to generate text in parallel, marking a notable shift in the efficiency and speed of AI language processing.

#Inception Labs #Mercury Coder

Written with ChatGPT (GPT-4o mini).

Sources

Morphware@MorphwareAI
2 years ago
What is $XMW? ✅ A platform that powers AI with NVIDIA GPUs ✅ The cheapest energy on the planet - 100% renewable from Paraguay ✅Mining BTC on the side for a stunning 23K per $BTC This is only the beginning: 🌍 Green energy at unbeatable costs 🤖 AI & crypto demand provides… https://t.co/etrCklITcU
Paolo Ardoino 🤖@paoloardoino
2 years ago
Up to 2023, 600 million people in Africa lacked access to electricity. Imagine a kiosk in Africa, with solar panels on top to recharge hundreds of high performance batteries, offering monthly subscription to the local community (payable in local currency, Bitcoin LN or USDt).…
SwissCognitive, AI Venture, Advisory & Research@SwissCognitive
2 years ago
Inception Labs' Mercury Coder uses #AI diffusion techniques to generate text 19x faster than GPT-4o Mini, achieving over 1,000 tokens per second—reshaping the speed paradigm in AI text generation🚀📝 #Technology #ArtificialIntelligence #AINews https://t.co/NsA8Gu5aac

Additional media

Image #1 for story inception-labs-launches-mercury-coder-on-nvidia-h100-gpus-achieving-10x-faster-d21ce413