Gradient Dissent: Conversations on AI Launching the Fastest AI Inference Solution with Cerebras Systems CEO Andrew Feldman
Aug 27, 2024
Andrew Feldman, CEO of Cerebras Systems, shares his insights on cutting-edge AI inference technology. He discusses the revolutionary wafer-scale chips that are redefining speed and efficiency in AI workloads. The conversation dives into the challenges of GPU memory bandwidth and the impact of innovative chip design on business applications. Andrew also explores the balance between open and closed-source strategies in AI. Hear about the historical context of technological integration and how it shapes productivity in today's work environments.
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Cerebras' Strength
- Cerebras Systems excels at distributing complex training workloads across large compute landscapes.
- Their large wafer-sized chips simplify distribution and accelerate training, especially for models too big for a single GPU.
Fastest Inference
- Cerebras' new inference product boasts the world's fastest inference speeds with top accuracy and lowest cost.
- It's significantly faster than Nvidia H100 on A100, especially for models like LLaMA.
Inference Bottleneck
- Generative AI inference is computationally intensive, requiring moving parameters from memory to compute for each token generation.
- Cerebras' large, on-chip memory overcomes the memory bandwidth bottleneck, enabling faster inference.