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61.

Loading Llama-2 70B 20x faster with Anyscale Endpoints

3 years ago

1 points

62.

Cross-language, distributed model inference framework: Serve with Java API

4 years ago

1 points

63.

Building Highly Available and Scalable Online Applications on Ray at Ant Group

5 years ago

robertnishihara

1 points

64.

LLM Inference with Ray: Expert parallelism and prefill/decode disaggregation

7 months ago

1 points

65.

LLM Engine Orchestration for Performance

9 months ago

1 points

66.

Deploy DeepSeek‑R1 with VLLM and Ray Serve on Kubernetes

10 months ago

robertnishihara

1 points

67.

An Open Source Stack for AI Compute: Kubernetes and Ray and PyTorch and VLLM

a year ago

robertnishihara

1 points

68.

Open Source RL Libraries for LLMs

a year ago

robertnishihara

1 points

69.

An Open Source Stack for AI Compute: Kubernetes and Ray and PyTorch and VLLM

a year ago

robertnishihara

1 points

70.

Uv and Ray: Pain-Free Python Dependencies in Clusters

a year ago

robertnishihara

1 points

71.

Direct Preference Optimization with Synthetic Data on Anyscale

2 years ago

robertnishihara

1 points

72.

Building an LLM Router for High-Quality and Cost-Effective Responses

2 years ago

robertnishihara

1 points

73.

End-to-End LLM Workflows Guide

2 years ago

1 points

74.

Fine-tuning LLMs for longer context and better RAG systems

2 years ago

robertnishihara

1 points

75.

RAG at Scale: 10x Cheaper Embedding Computations with Anyscale and Pinecone

2 years ago

robertnishihara

1 points

76.

Anyscale Endpoints: JSON Mode and Function Calling Features

3 years ago

1 points

77.

LLM summarization: A case study of human, Llama-2, & GPT-4 summarization quality

3 years ago

robertnishihara

1 points

78.

Building Rag-Based LLM Applications for Production

3 years ago

1 points

79.

Anyscale Endpoints: LLM inference and fine-tuning

docs.endpoints.anyscale.com

3 years ago

robertnishihara

1 points

80.

ByteDance Scales Offline Inference with Multi-Modal LLMs to 200 TB Data

3 years ago

1 points

81.

Ray solves common production challenges for generative AI infrastructure

3 years ago

1 points

82.

Training One Million Machine Learning Models in Record Time with Ray

4 years ago

robertnishihara

1 points

83.

Gang Scheduling Ray Clusters on K8s with Multi-Cluster-App-Dispatcher (MCAD)

4 years ago

1 points

84.

Redis in Ray: Past and Future

4 years ago

1 points

85.

Ray 1.11 Released

4 years ago

1 points

86.

Introducing Anyscale: The Future Is Distributed

5 years ago

robertnishihara

1 points

87.

Analyzing memory management and performance in Dask-on-Ray

5 years ago

robertnishihara

1 points

88.

Parallelizing Python Code

5 years ago

1 points

89.

Ant Group's Resource Allocation System has scaled over 6000 cores

5 years ago

1 points

90.

Ask HN: Is PySPark a Dead-End?

5 years ago

9 points