The Large Model Systems Organization develops large models and systems that are open, accessible, and scalable.
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Bringing DeepSeek-V4 Flash RL Training to AMD Instinct MI355X GPUs with Miles
DeepSeek-V4 RL is now supported in Miles on AMD Instinct™ MI355X GPUs with ROCm™! RL requires SGLang rollout and Megatron training to implement the same policy closely enough that token probabilities ...
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...
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