We’ve developed our own inference engine ROSE
TL;DR · AI Summary
Perplexity has launched its in-house inference engine ROSE, enabling efficient serving from embedding models to trillion-parameter LLMs, with CuTeDSL integration for faster GPU kernel customization.
Key Takeaways
- Perplexity has developed its own inference engine ROSE to improve large model se
- ROSE supports full-stack inference needs from embedding models to trillion-param
- Integration of CuTeDSL enables rapid development of specialized GPU kernels opti
Outline
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Perplexity 宣布开发 Runtime-Optimized Serving Engine (ROSE)。
支持从小模型到万亿参数 LLM 的统一推理服务。
通过领域特定语言加速 GPU 内核开发与部署。
针对 NVIDIA Hopper 和 Blackwell 架构进行峰值性能调优。
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- ROSE 推理引擎
- 多规模模型支持
- 嵌入模型
- 万亿参数 LLM
- 关键技术集成
- CuTeDSL
- GPU 内核加速
- 硬件优化目标
- NVIDIA Hopper
- NVIDIA Blackwell
Highlights
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We’ve developed our own inference engine Runtime-Optimized Serving Engine (ROSE) to serve models ranging from embeddings to trillion-parameter LLMs.
With CuTeDSL integrated into our inference engine, Perplexity can build the specialized GPU kernels faster...
to bring models up to peak performance on NVIDIA Hopper and Blackwell GPUs.
With CuTeDSL integrated into our inference engine, Perplexity can build the specialized GPU kernels faster to bring models up to https://t.co/5o4gEh5yGf" / X
Perplexity on X: "We’ve developed our own inference engine Runtime-Optimized Serving Engine (ROSE) to serve models ranging from embeddings to trillion-parameter LLMs. With CuTeDSL integrated into our inference engine, Perplexity can build the specialized GPU kernels faster to bring models up to https://t.co/5o4gEh5yGf" / X
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We’ve developed our own inference engine Runtime-Optimized Serving Engine (ROSE) to serve models ranging from embeddings to trillion-parameter LLMs. With CuTeDSL integrated into our inference engine, Perplexity can build the specialized GPU kernels faster to bring models up to peak performance on NVIDIA Hopper and Blackwell GPUs.
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