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🚀 Excited to announce #OpenLLM 0.6! 🚀 So, what's new specifically? 🚂 Support a wide range of #LLMs, including #Llama3, #Qwen, #Gemma, #Mixtral, and more! ⛓️ Serve your LLMs as #OpenAI-compatible APIs 🔥 Accelerate LLM decoding powered by the state-of-the-art inference backend… https://t.co/f60soGmbiD
Are you looking to unlock lightning-fast inferencing speed at 1000+ tokens/sec on your own custom Llama3? Introducing SambaNova Fast API, available today with free token-based credits to make it easier to build AI apps like chatbots and more. Bring your own custom checkpoint for… https://t.co/QpcJKmWI20
🚀 OpenLLM 0.6 is out providing fast inference speed! Check out our video comparing #OpenLLM and #Ollama handling concurrent requests on the Llama 3 8B model. Ollama is ideal for local LLM deployment, but it is not designed for high concurrency scenarios essential for deployments… https://t.co/4DEWiPapAK
Companies like AbacusAI, NVIDIAAIDev, and BentoML are introducing new tools and APIs to enhance the performance and affordability of Large Language Models (LLMs). AbacusAI's 'LLM Fine-Tunes' inference API promises to exceed GPT4o performance at a lower cost. NVIDIAAIDev offers the Triton Inference Server Command Line Interface to streamline the creation, deployment, and profiling of LLM models like Llama 3, Falcon, and Mixtral. BentoML's OpenLLM 0.6 release focuses on fast inference speed, supporting various LLMs and enabling OpenAI-compatible APIs for accelerated LLM decoding.