Cerebras Systems has set a new benchmark in artificial intelligence (ai) with the launch of its revolutionary ai inference solution. The announcement delivers unprecedented speed and efficiency in processing large language models (LLMs). This new solution, called ai/press-release/cerebras-launches-the-worlds-fastest-ai-inference”>Brain InferenceIt is designed to meet the increasing and challenging demands of ai applications, particularly those requiring real-time responses and complex multi-step tasks.
Unmatched speed and efficiency
At the core of Cerebras Inference is the third-generation Wafer Scale Engine (WSE-3), which powers the fastest ai inference solution available today. This technology delivers a remarkable 1,800 tokens per second for the Llama3.1 8B models and 450 tokens per second for the Llama3.1 70B models. These speeds are approximately 20x faster than traditional GPU-based solutions in hyperscale cloud environments. This performance leap isn’t just about raw speed; it also comes at a fraction of the cost, with pricing set at just 10 cents per million tokens for the Llama 3.1 8B model and 60 cents per million tokens for the Llama 3.1 70B model.
The importance of this achievement cannot be understated. Inference, which involves running ai models to make predictions or generate text, is a fundamental component of many ai applications. Faster inference means that applications can provide answers in real time, making them more interactive and effective. This is particularly important for applications that rely on large language models, such as chatbots, virtual assistants, and ai-powered search engines.
Addressing the memory bandwidth problem
One of the main challenges in ai inference is the need for high memory bandwidth. Traditional GPU-based systems often need help, as they require large amounts of memory to process each token in a language model. For example, the Llama3.1-70B model, which has 70 billion parameters, requires 140 GB of memory to process a single token. To generate just ten tokens per second, a GPU would need 1.4 TB/s of memory bandwidth, which far exceeds the capabilities of current GPU systems.
Cerebras has overcome this hurdle by directly integrating a massive 44GB of SRAM onto the WSE-3 chip, thereby eliminating the need for external memory and significantly increasing memory bandwidth. The WSE-3 delivers an astonishing aggregate memory bandwidth of 21 petabytes per second – 7000 times more than the Nvidia H100 GPU. This advancement enables Cerebras Inference to easily handle large models, providing faster and more accurate inference.
Maintaining accuracy with 16-bit precision
Another key aspect of Cerebras Inference is its commitment to accuracy. Unlike some competitors that reduce weight precision to 8-bit to achieve faster speeds, Cerebras retains the original 16-bit precision throughout the inference process. This ensures that model results are as accurate as possible, which is crucial for tasks that require high levels of precision, such as mathematical calculations and complex reasoning tasks. According to Cerebras, its 16-bit models are up to 5% more accurate than their 8-bit counterparts, making them a superior choice for developers who need speed and reliability.
Strategic alliances and future expansion
Cerebras is not only focused on speed and efficiency, but is also building a strong ecosystem around its ai inference solution. It has partnered with leading companies in the ai industry, including Docker, LangChain, LlamaIndex, and Weights & Biases, to give developers the tools they need to build and deploy ai applications quickly and efficiently. These partnerships are crucial to accelerating ai development and ensuring that developers can access the best resources.
Cerebras plans to expand its support for even larger models, such as the Llama3-405B and Mistral Large models. This will cement Cerebras Inference as the go-to solution for developers working on cutting-edge ai applications. The company also offers its inference service in three tiers: free, developer, and enterprise, catering to a range of users from individual developers to large enterprises.
The impact on ai applications
The implications of Cerebras Inference’s high-speed performance extend far beyond traditional ai applications. By dramatically reducing processing times, Cerebras enables more complex ai workflows and improves real-time intelligence in LLMs. This could revolutionize ai-dependent industries, from healthcare to finance, by enabling faster and more accurate decision-making processes. For example, faster ai inference could lead to more timely diagnoses and treatment recommendations in the healthcare industry, potentially saving lives. It could enable real-time financial market data analysis, enabling faster and better-informed investment decisions. The possibilities are endless, and Cerebras Inference is poised to unleash new potential in ai applications across a number of fields.
Conclusion
Cerebras Systems’ launch of the world’s fastest ai inference solution represents a significant advancement in ai technology. Cerebras Inference is set to redefine what’s possible in ai by combining unparalleled speed, efficiency, and accuracy. Innovations like Cerebras Inference will play a crucial role in shaping the future of technology. Whether enabling real-time responses in complex ai applications or supporting the development of next-generation ai models, Cerebras is at the forefront of this exciting journey.
Take a look at the ai/blog/introducing-cerebras-inference-ai-at-instant-speed”>Details, ai/press-release/cerebras-launches-the-worlds-fastest-ai-inference”>Blog
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