Generative AI Acceleration
Autoregressive Model
AI Synthesis & Market Narrative
Large-scale autoregressive models are advancing generative AI, particularly in Text-to-Speech, necessitating specialized hardware optimization and on-premise deployment strategies due to data sovereignty and lock-in concerns.
Correlated Linguistic Patterns
["fully continuous autoregressive TTS system"
"2B-parameter"
"LLM"
"DiffusionGemma"
"streaming inference kernels"
"H100s"]
Driving Media Context
dots.tts 0.3.0
dots.tts: a fully continuous autoregressive TTS system with SOAR alignment and CFG-aware MeanFlow distillation.
Show HN: The Annotated DiffusionGemma
Article URL: https://mlberkeley.substack.com/p/the-annotated-diffusiongemma
Comments URL: https://news.ycombinator.com/item?id=49251307
Points: 1
# Comments: 0
Show HN: Where a hand-written GPU kernel beats the library, and where it can't
I've been building streaming inference kernels for Zonos, the open SSM-based (Mamba2) TTS model, on an A10G. This post is two hand-written CuTeDSL kernels in...
The Tokens You Can’t Wait For
Somewhere in a Singapore data center, a bank is paying for eight H100s that spend most of the night waiting. The cluster was bought for good reasons (discomf...
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