Complete Database Data for Tool ID: 027811

images

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all_pricing_models

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active_pricing_model_names











seo

  • seo_id: 27811
    tool_id: 27811
    title: VLLM: High-Throughput Inference Serving for LLMs
    tldr:
    short_description: Serve LLMs efficiently with VLLM, a memory-optimized engine. Boost performance and scale your deployments.
    introduction_title: Large Language Models Take Flight with VLLM: The High-Throughput Inference Engine for Accelerated AI Deployments
    introduction_body: Large language models (LLMs) are transforming industries, but deploying them efficiently can be a challenge. Enter VLLM, a high-throughput, memory-efficient inference serving engine specifically designed to optimize the performance of LLMs. By effectively managing memory usage, VLLM enables faster response times without compromising performance integrity. This makes it ideal for diverse deployment environments, catering to both small startups and large enterprises. VLLM's support for multi-node configurations further enhances scalability, allowing seamless load management during peak request periods. With VLLM, businesses can harness the power of LLMs with increased speed and efficiency, unlocking new possibilities in AI applications.
    is_active: 1
    created_at: 2025-07-23T06:17:37.581901
    updated_at: 2025-07-27T08:11:20.221553

social_media

  • tool_id: 27811
    network_id: 9
    social_media_url: https://github.com/vllm-project/vllm
    is_active: 1
    created_at: 2025-07-01T18:37:39.554875
    id: 43160
    updated_at: 2025-07-27T08:14:10.033253

toolsets

  • tool_id: 27811
    toolset_id: 6
    weight: 1
    is_active: 1
    created_at: 2025-07-23T06:17:37.581901
    id: 132920
    updated_at: 2025-07-27T08:15:00.645841

  • tool_id: 27811
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    weight: 2
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    created_at: 2025-07-23T06:17:37.581901
    id: 132921
    updated_at: 2025-07-27T08:15:00.645841

  • tool_id: 27811
    toolset_id: 23
    weight: 3
    is_active: 1
    created_at: 2025-07-23T06:17:37.581901
    id: 132922
    updated_at: 2025-07-27T08:15:00.645841

  • tool_id: 27811
    toolset_id: 5
    weight: 4
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    created_at: 2025-07-23T06:17:37.581901
    id: 132923
    updated_at: 2025-07-27T08:15:00.645841

  • tool_id: 27811
    toolset_id: 35
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    created_at: 2025-07-23T06:17:37.581901
    id: 132924
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  • tool_id: 27811
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    created_at: 2025-07-23T06:17:37.581901
    id: 132925
    updated_at: 2025-07-27T08:15:00.645841

platforms

  • id: 19262
    tool_id: 27811
    platform_id: 1
    priority:
    platform_url: https://github.com/vllm-project/vllm
    platform_canonical_key:
    is_active:
    created_at: 2025-10-15T08:30:06.108305
    updated_at: 2025-10-15T08:30:06.108305
    company_domain: github.com

  • id: 4466
    tool_id: 27811
    platform_id: 16
    priority:
    platform_url: https://github.com/vllm-project/vllm
    platform_canonical_key: vllm-project/vllm
    is_active:
    created_at: 2025-10-15T06:22:32.190716
    updated_at: 2025-10-15T17:53:08.904325
    company_domain: github.com

VLLM: High-Throughput Inference Serving for LLMs

Serve LLMs efficiently with VLLM, a memory-optimized engine. Boost performance and scale your deployments.

Serve LLMs efficiently with VLLM, a memory-optimized engine. Boost performance and scale your deployments.

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Large language models (LLMs) are transforming industries, but deploying them efficiently can be a challenge. Enter VLLM, a high-throughput, memory-efficient inference serving engine specifically designed to optimize the performance of LLMs. By effectively managing memory usage, VLLM enables faster response times without compromising performance integrity. This makes it ideal for diverse deployment environments, catering to both small startups and large enterprises. VLLM's support for multi-node configurations further enhances scalability, allowing seamless load management during peak request periods. With VLLM, businesses can harness the power of LLMs with increased speed and efficiency, unlocking new possibilities in AI applications.

Pricing

Pricing:

Free
Freemium
Free Trial
Subscription
Pay-As-You-Go (PAYG)
One-Time Purchase
Credit or Token-Based
Custom Pricing
Performance-Based
Miscellaneous

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https://ageofai.tools/tools/vllm-027811/

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