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Tools/TGI vs Beam
TGI

TGI

infrastructure
vs
Beam

Beam

infrastructure

TGI vs Beam — Comparison

Overview
What each tool does and who it's for

TGI

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

text-generation-inference documentation and get access to the augmented documentation experience text-generation-inference is now in maintenance mode. Going forward, we will accept pull requests for minor bug fixes, documentation improvements and lightweight maintenance tasks. Text Generation Inference (TGI) is a toolkit for deploying and serving Large Language Models (LLMs). TGI enables high-performance text generation for the most popular open-source LLMs, including Llama, Falcon, StarCoder, BLOOM, GPT-NeoX, and T5. Text Generation Inference implements many optimizations and features, such as: Text Generation Inference is used in production by multiple projects, such as:

Beam

Run sandboxes, inference, and training with ultrafast boot times, instant autoscaling, and a developer experience that just works.

Run sandboxes, inference, and training with ultrafast boot times, instant autoscaling, and a developer experience that just works.

Key Metrics
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Avg Rating
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0
Mentions (30d)
0
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GitHub Stars
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—
GitHub Forks
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npm Downloads/wk
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PyPI Downloads/mo
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Community Sentiment
How developers feel about each tool based on mentions and reviews

TGI

0% positive100% neutral0% negative

Beam

0% positive100% neutral0% negative
Pricing

TGI

tiered

Beam

Features

Only in TGI (9)

Simple launcher to serve most popular LLMsProduction ready (distributed tracing with Open Telemetry, Prometheus metrics)Tensor Parallelism for faster inference on multiple GPUsToken streaming using Server-Sent Events (SSE)Continuous batching of incoming requests for increased total throughputLogits warper (temperature scaling, top-p, top-k, repetition penalty)Stop sequencesLog probabilitiesFine-tuning Support: Utilize fine-tuned models for specific tasks to achieve higher accuracy and performance.
Developer Ecosystem
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GitHub Repos
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—
GitHub Followers
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20
npm Packages
20
40
HuggingFace Models
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—
SO Reputation
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Product Screenshots

TGI

TGI screenshot 1

Beam

Beam screenshot 1
Company Intel
information technology & services
Industry
information technology & services
690
Employees
4
$395.7M
Funding
$3.6M
Series D
Stage
Seed
Supported Languages & Categories

TGI

AI/MLDeveloper Tools

Beam

AImachine learningcloud computingGPUPython
View TGI Profile View Beam Profile