Posts by Subhajit Dutta Chowdhury
Enabling Speculative Speculative Decoding on MI300X
- 29 May 2026
Speculative speculative decoding (SSD) [1] is a recently proposed speculative decoding (SD) algorithm that further accelerates large language model (LLM) inference beyond conventional SD. In standard SD, a small draft model proposes several future tokens, and a large target model verifies them in parallel. SD already reduces the cost of purely autoregressive decoding, but it still contains a sequential dependency: the next draft step cannot start until the current verification step finishes.
Optimizing LLM Workloads: AMD Instinct MI355X GPUs Drive Competitive Performance
- 02 December 2025
AI training workloads are pushing the limits of modern GPU architectures. With the release of AMD ROCm™ 7.0 software, AMD is raising the bar for high-performance training by delivering optimized support for LLM workloads across the JAX and PyTorch frameworks. The latest v25.9 Training Dockers demonstrate exceptional scaling efficiency for both single-node and multi-node setups, empowering researchers and developers to push model sizes and complexity further than ever.