Neural Magic Releases 2:4 Sparse Llama 3.1 8B: Smaller Models for Efficient GPU Inference
The rapid growth in the size of ai models has brought with it significant computational and environmental challenges. Deep learning ...
Tag: inference
Amazon SageMaker Inference now supports G6e instances
As demand for generative ai continues to grow, developers and enterprises are looking for more flexible, cost-effective, and powerful accelerators ...
Towards Low-Bit Communication for Parallel Tensor LLM Inference
This paper was accepted into the Efficient Natural Speech and Language Processing (ENLSP) Workshop at NeurIPS 2024. Tensor parallelism provides ...
This UC Berkeley AI article presents Pie: a machine learning framework for transparent performance sharing and adaptive expansion in LLM inference
The use of large language models (LLM) has revolutionized artificial intelligence applications, enabling advances in natural language processing tasks such ...
Snowflake and CMU researchers present SuffixDecoding: a new model-free approach to accelerate large language model (LLM) inference using speculative decoding
Large Language Models (LLM) have quickly become a critical component of today's consumer and enterprise applications. However, the need for ...
Fine-tune Meta Llama 3.2 text generation models for generative AI inference using Amazon SageMaker JumpStart
Generative ai models have seen tremendous growth, offering cutting-edge solutions for text generation, summarization, code generation, and question answering. Despite ...
Cerebras Systems revolutionizes AI inference: 3x faster with Llama 3.1-70B at 2100 tokens per second
artificial intelligence (ai) continues to evolve rapidly, but with that evolution comes a number of technical challenges that must be ...
How Zalando optimized large-scale inference and streamlined ML operations on Amazon SageMaker
This post is cowritten with Mones Raslan, Ravi Sharma and Adele Gouttes from Zalando. Zalando SE is one of Europe’s largest ...
ShadowKV: A high-performance inference system for long-context LLM inference
Large language models (LLMs) are getting better at scaling and handling long contexts. Since they are used on a large ...
Automate Amazon Bedrock Batch Inference – Building a Scalable and Efficient Pipeline
amazon Bedrock is a fully managed service that offers a selection of high-performance foundation models (FM) from leading ai companies ...
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