The Large Model Systems Organization develops large models and systems that are open, accessible, and scalable.
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Accelerating SGLang HiCache with Netpreme X-Mem™ MPU
Netpreme X-Mem™ Memory Processing Unit (MPU) makes SGLang HiCache faster and more scalable by augmenting the slower Host DRAM offload tier with a purpose-built high-bandwidth KV memory tier. - Pr...
DSpark in SGLang: Speculative Decoding with Confidence-Driven, Variable-Length Verification
Speculative decoding trades extra compute for fewer decode steps, and the trade sours as load grows: at batch size B with K speculative tokens the target verifies B K tokens every step, and past a po...
Agent-Assisted SGLang Development: An Initial Exploration
SGLang development increasingly goes beyond isolated code changes. The same repository now spans LLM serving, distributed runtime, GPU kernels, diffusion pipelines, model-specific execution paths, and...
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