|
| 1 | +--- |
| 2 | +draft: false |
| 3 | +title: Tei fully managed open source service | OctaByte.io |
| 4 | +meta: |
| 5 | + cover: /images/applications/ai-gpu/tei/screenshot-1.png |
| 6 | + description: TEI is a high-performance inference engine for text embeddings, delivering ultra-fast results with dynamic batching, optimized transformers, and production-ready observability. |
| 7 | + keywords: text embeddings inference, TEI, fast NLP inference, Flash Attention, Candle, cuBLASLt, dynamic batching, Safetensors, OpenTelemetry, Prometheus, production-ready inference, open-source embeddings engine, BAAI bge-base-en-v1.5, NLP optimization, AI infrastructure |
| 8 | + breadcrumb: |
| 9 | + - name: Home |
| 10 | + url: / |
| 11 | + - name: Software Catalog |
| 12 | + url: /fully-managed-open-source-services |
| 13 | + - name: Applications |
| 14 | + url: /fully-managed-open-source-services/applications |
| 15 | + - name: AI/GPU |
| 16 | + url: /fully-managed-open-source-services/applications/ai-gpu |
| 17 | + - name: Tei |
| 18 | + url: /fully-managed-open-source-services/applications/ai-gpu/tei |
| 19 | +content: |
| 20 | + id: tei |
| 21 | + name: Tei |
| 22 | + title: Lightning-Fast Text Embeddings Inference for Production-Ready AI Applications |
| 23 | + logo: /images/applications/ai-gpu/tei/logo.png |
| 24 | + website: https://huggingface.co/docs/text-embeddings-inference/quick_tour |
| 25 | + iframe_website: https://huggingface.co/docs/text-embeddings-inference/quick_tour |
| 26 | + screenshots: |
| 27 | + - /images/applications/ai-gpu/tei/screenshot-1.png |
| 28 | + - /images/applications/ai-gpu/tei/screenshot-2.png |
| 29 | +--- |
| 30 | + |
| 31 | +## Overview |
| 32 | + |
| 33 | +TEI (Text Embeddings Inference) is an open-source, blazing-fast inference solution designed specifically for generating text embeddings with unmatched performance and efficiency. Built for real-time and production environments, TEI benchmarks impressively on models like BAAI/bge-base-en-v1.5, achieving exceptional speeds on GPUs such as the Nvidia A10 with sequences up to 512 tokens. |
| 34 | + |
| 35 | +Under the hood, TEI employs advanced technologies like Flash Attention, Candle, and cuBLASLt to power its inference engine. It dynamically adapts to workloads through token-based batching, reducing latency and maximizing GPU utilization. With support for Safetensors weight loading, TEI significantly improves initialization times, ensuring rapid deployment. |
| 36 | + |
| 37 | +TEI is also engineered for scalable, observable, and production-grade usage. It includes built-in support for distributed tracing via OpenTelemetry and exposes Prometheus metrics for effortless monitoring. Whether you're building AI-powered applications, search engines, or NLP pipelines, TEI offers the speed, efficiency, and reliability needed to run large-scale inference workloads. |
| 38 | + |
| 39 | +## Features |
| 40 | + |
| 41 | +- ### Dynamic Batching |
| 42 | + |
| 43 | + TEI utilizes token-based dynamic batching to intelligently manage GPU resources and minimize idle time, leading to improved inference throughput. |
| 44 | + |
| 45 | +- ### Optimized Inference Engine |
| 46 | + |
| 47 | + Built using cutting-edge components like Flash Attention, Candle, and cuBLASLt, TEI ensures highly optimized transformer model execution with minimal latency. |
| 48 | + |
| 49 | +- ### Fast Model Loading with Safetensors |
| 50 | + |
| 51 | + TEI supports Safetensors weight loading for dramatically faster startup times, enabling rapid scaling and reloading of models in production. |
| 52 | + |
| 53 | +- ### Production-Grade Observability |
| 54 | + |
| 55 | + Integrated with OpenTelemetry for distributed tracing and Prometheus for metrics export, TEI is fully equipped for monitoring and diagnostics in real-world deployments. |
| 56 | + |
| 57 | +- ### High Performance on Modern GPUs |
| 58 | + |
| 59 | + TEI is benchmarked on advanced GPUs like the Nvidia A10, delivering low-latency inference even with long sequences of up to 512 tokens. |
| 60 | + |
| 61 | +- ### Open Source and Extensible |
| 62 | + |
| 63 | + As an open-source solution, TEI is customizable and extendable to fit specific NLP workflows, making it an ideal choice for developers and ML engineers. |
0 commit comments