Model Parallelism

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Scoured 17 posts in 6.7 ms

PCCL: Process Group-Aware Scalable and Generic Collective Algorithm Synthesizer

 🕸️Distributed Systems  Content type: Academic
arxiv.org·

Introduction to Collective Communications in AI Data Center Networking

 💾AI Hardware
networkphil.com·
Less-relevant results

harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.

 🚀LLM Serving  Content type: Code
github.com··Hacker News

Anatomy of a high-performance EP kernel

 🖥️GPU Computing  Content type: Blog
fergusfinn.com··Hacker News

Running LLM Inference on Kubernetes: What It Actually Takes

 ☸️Kubernetes  Content type: Blog
fairwinds.com·

From GPU to Token: The 8-Layer Observability Stack for AI Infrastructure

 💾AI Hardware  Content type: Blog
jimmysong.io·

How the UK Is Turning Sovereign AI Ambition Into Action With NVIDIA Technologies

 💾AI Hardware  Content type: Blog
blogs.nvidia.com·

2x GH200 for LLM inference, Part 2: vLLM, DeepSeek V4 Flash, and MTP

 💾AI Hardware  Content type: Blog
dnhkng.github.io·

Learned Subspace Compression for Communication-Efficient Pipeline Parallelism

 ⚙️ML Infrastructure  Content type: Academic
arxiv.org·

RATrain: A Resource-Aware Training Runtime for Large Language Models on Bandwidth-Constrained Heterogeneous Supercomputing Platforms

 🖥️GPU Computing  Content type: Academic
arxiv.org·

The AI supersystem shift: Why Arista’s 1.6T announcement is an Ethernet inflection point

 🖥️GPU Computing
siliconangle.com·

ASTRA-sim 3.0: Next-Level Distributed Machine Learning Simulations via High-Fidelity GPU and Infrastructure Modeling

 🖥️GPU Computing  Content type: Academic
arxiv.org·

Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism

 ⚙️ML Infrastructure  Content type: Academic
arxiv.org·

Nvidia DGX Spark GB10 – AI Models and Guide with vLLM and Autonomous Script

 🚀LLM Serving  Content type: Code
github.com··Hacker News

Resource-aware Computation-Communication Overlap for multi-GPU ML Workloads

 🖥️GPU Computing  Content type: Academic
arxiv.org·

Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency

 ⚙️ML Infrastructure  Content type: Academic
arxiv.org·

Does anyone know what PCIe mode was used for these benchmarks?

 🚀LLM Serving  Content type: Code
github.com··r/LocalLLaMA

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