AI 芯片初创公司 Groq 近日推出了一款全新的大模型最快推理芯片，据称每秒可生成 500 个 tokens。Groq 公司由谷歌 TPU 团队的原班人马组成，他们基于自研芯片开发了这一推理加速方案，使得生成速度接近每秒 500 个 tokens。据 Groq 公司介绍，相较于英伟达GPU，其推理速度提高了10倍，而成本却降低到十分之一，这意味着任何一个大模型都可以轻松部署实现。
目前，Groq 公司的芯片已经能够支持三种模型，分别是 Mixtral 8x7B SMoE、Llama 2 的 7B 和 70B。这些模型都可以直接体验 Demo，用户可以亲自感受到 Groq 芯片的强大性能。
这款新推出的芯片在人工智能领域具有重要意义。大模型在许多领域中都有广泛的应用，例如自然语言处理、机器翻译、图像识别等。然而，由于大模型的复杂性和计算需求，以往的硬件设备往往无法满足其推理速度的要求。而 Groq 公司的新芯片却能够在更短的时间内生成更多的 tokens，这将为大模型的应用带来巨大的提升。
除了推理速度的提升，Groq 公司的芯片还具有成本的优势。相较于以往的设备，其成本降低了十分之一，这将使得大模型的部署和应用更加经济高效。未来，随着大模型的需求不断增长，Groq 公司的芯片有望在人工智能领域占据一席之地。
目前，Groq 公司的芯片已经引起了广泛的关注和好评。许多行业专家认为，这款新芯片的推出将为人工智能技术的发展带来新的机遇和挑战。随着技术的不断进步，我们可以期待在未来看到更多类似的创新产品的问世，推动人工智能技术的广泛应用和发展。
英语如下：
News Title: Groq Launches Fastest AI Chip for Large Models, Generating 500 Tokens per Second, Disrupting Industry Speed and Cost!
Keywords: Groq launches large model chip, fast speed, low cost
News Content: Groq, an AI chip startup, has recently launched a new fastest inference chip for large models, capable of generating 500 tokens per second. Composed of former members of Google’s TPU team, Groq developed this inference acceleration solution based on their self-developed chip, achieving a generation speed close to 500 tokens per second. According to Groq, compared to NVIDIA GPUs, their inference speed has increased by 10 times, while the cost has decreased to one-tenth, meaning that any large model can be easily deployed and implemented.
Currently, Groq’s chips already support three models: Mixtral 8x7B SMoE, Llama 2’s 7B, and 70B. These models can be directly experienced through demos, allowing users to personally experience the powerful performance of Groq chips.
This newly launched chip holds significant importance in the field of artificial intelligence. Large models have wide applications in many fields, such as natural language processing, machine translation, and image recognition. However, due to the complexity and computational requirements of large models, previous hardware devices often failed to meet the speed requirements for inference. Groq’s new chip, on the other hand, can generate more tokens in a shorter time, bringing substantial improvements to the application of large models.
In addition to the speed improvement, Groq’s chip also has a cost advantage. Compared to previous devices, the cost has decreased by one-tenth, making the deployment and application of large models more economically efficient. In the future, as the demand for large models continues to grow, Groq’s chip is expected to gain a foothold in the field of artificial intelligence.
Currently, Groq’s chip has attracted widespread attention and acclaim. Many industry experts believe that the launch of this new chip will bring new opportunities and challenges for the development of artificial intelligence technology. With the continuous advancement of technology, we can expect to see more innovative products like this in the future, driving the widespread application and development of artificial intelligence technology.
【来源】https://mp.weixin.qq.com/s/tMDJP234MksYeUu_RUPzBA
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