Tessera: Unlocking Heterogeneous GPUs through Kernel-Granularity Disaggregation
cs.DC, cs.LG
Submitted: 2026-04-11
Updated: 2026-09-19
Code: https://github.com/pytorch/pytorch
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding
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- Attention Is All You Need
- Rearchitecting Datacenter Lifecycle for AI: A TCO-Driven Framework
- The Cost of Dynamic Reasoning: Demystifying AI Agents and Test-Time Scaling from an AI Infrastructure Perspective
- Autellix: An Efficient Serving Engine for LLM Agents as General Programs
- Cronus: Efficient LLM inference on Heterogeneous GPU Clusters via Partially Disaggregated Prefill
- gpt-oss-120b & gpt-oss-20b Model Card
- Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
- Microsoft COCO Captions: Data Collection and Evaluation Server
- Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
- Qwen3 Technical Report
- DeepSeek-V3 Technical Report
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