Published inByte-Sized AI[Memory] Ramulator 2.0: A Modern, Modular, and Extensible DRAM SimulatorRamulator 2.0 is a highly modular and extensible DRAM simulator designed to enable rapid and agile implementation and evaluation of design…12h ago12h ago
Published inByte-Sized AI[GPU] Accel-Sim: An Extensible Simulation Framework for Validated GPU ModelingAccel-Sim is a simulation framework designed to simplify modeling and validating future GPUs. It features a flexible frontend that switches…5d ago5d ago
Published inByte-Sized AI[Inference Compute Scaling ] Large Language Monkeys: Scaling Inference Compute with Repeated…[Inference Compute Scaling ] Large Language Monkeys: Scaling Inference Compute with Repeated SamplingJan 8Jan 8
Published inByte-Sized AI[AI Agents] Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsIn this blog post series on AI agents, we review the paper Chain-of-Thought Prompting Elicits Reasoning in Large Language Models, a…Dec 31, 2024Dec 31, 2024
Published inByte-Sized AI[vLLM — Prefix KV Caching] vLLM’s Automatic Prefix Caching vs ChunkAttentionChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase PartitionDec 25, 2024Dec 25, 2024
Published inByte-Sized AIAMD MI300X vs. Nvidia H100/H200 — Training Performance ComparisonH100/H200 offers higher training performance at lower costs than MI300XDec 24, 2024Dec 24, 2024
Published inByte-Sized AIvLLM Joins the PyTorch EcosystemvLLM Joins the PyTorch Ecosystem and supports Amazon Rufus AI Shopping AssistantDec 21, 2024Dec 21, 2024
Published inByte-Sized AIMarvell’s Custom HBM Architecture, China Counters Trade Restrictions, and Microsoft Expands…AI News Brief — 2024/12/18Dec 18, 2024Dec 18, 2024
Published inByte-Sized AIGoogle Launches Trillium TPU, Gemini 2.0, Apple’s Custom AI Chip, and Samsung’s HBM3E DelaysAI News Brief — 12/12/2024Dec 15, 2024Dec 15, 2024
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![[Memory] Ramulator 2.0: A Modern, Modular, and Extensible DRAM Simulator](https://miro.medium.com/v2/resize:fill:320:214/1*OcCB3K87aWcnV-RSoD-WnA.png)
![[GPU] Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling](https://miro.medium.com/v2/resize:fill:160:106/1*-Jr4dZfHJcuPYiwEk-sr3Q.png)
![[GPU] Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling](https://miro.medium.com/v2/resize:fill:320:214/1*-Jr4dZfHJcuPYiwEk-sr3Q.png)
![[Inference Compute Scaling ] Large Language Monkeys: Scaling Inference Compute with Repeated…](https://miro.medium.com/v2/resize:fill:160:106/1*189u9LR4pNIRFksgh4X7QQ.png)
![[Inference Compute Scaling ] Large Language Monkeys: Scaling Inference Compute with Repeated…](https://miro.medium.com/v2/resize:fill:320:214/1*189u9LR4pNIRFksgh4X7QQ.png)
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![[AI Agents] SELF-REFINE: Iterative Refinement with Self-Feedback](https://miro.medium.com/v2/resize:fill:320:214/1*j_N9pFp9YMiCjs9ixALT4A.png)
![[AI Agents] Chain-of-Thought Prompting Elicits Reasoning in Large Language Models](https://miro.medium.com/v2/resize:fill:160:106/1*pBzobeNAaQefrqr7bS7OZw.png)
![[AI Agents] Chain-of-Thought Prompting Elicits Reasoning in Large Language Models](https://miro.medium.com/v2/resize:fill:320:214/1*pBzobeNAaQefrqr7bS7OZw.png)
![[vLLM — Prefix KV Caching] vLLM’s Automatic Prefix Caching vs ChunkAttention](https://miro.medium.com/v2/resize:fill:160:106/0*9Fsj4uI4JdMwptGY.png)
![[vLLM — Prefix KV Caching] vLLM’s Automatic Prefix Caching vs ChunkAttention](https://miro.medium.com/v2/resize:fill:320:214/0*9Fsj4uI4JdMwptGY.png)
