# Replicate AI visibility in LLM Inference & Serverless GPU

Canonical: https://devtune.ai/verticals/llm-inference-serverless-gpu/replicate

[Website](https://replicate.com/)

Latest AI responses: 2026-11-02
Prompts: 25
Runs: 5


## Platforms

- bing-copilot-search
- google-ai-mode
- chatgpt-search
- perplexity
- google-ai

Rank: 7
Total brands: 10
Measured responses: 125
Presence percent: 8
Share of voice percent: 7.118644067796611
Average position: 12.761904761904763
Docs presence percent: 8
Blog presence percent: 0
Brand mention percent: 22.400000000000002


## Profile

Overview: Replicate is a San Francisco-based serverless GPU cloud platform that enables software developers to run, fine-tune, and deploy machine learning models via a simple API, without managing infrastructure. Founded in 2019 by Ben Firshman and Andreas Jansson, the platform hosts 50,000+ production-ready models spanning image, video, audio, and language AI, alongside Cog—an open-source tool for packaging custom models into reproducible containers. Its pure pay-per-second billing automatically scales from zero, appealing to individual developers, startups, and enterprises. Customers include BuzzFeed, Unsplash, Character.ai, and PhotoAI. Backed by Andreessen Horowitz, Sequoia Capital, Nvidia, and Y Combinator with $57.8M raised, Replicate was acquired by Cloudflare (NYSE: NET) in December 2025 and continues operating as a distinct brand within Cloudflare's developer platform.
Product summary: Replicate is a serverless AI model platform that lets developers run, fine-tune, and deploy machine learning models—including 50,000+ community and official models—through a single line of Python or JavaScript code. Its open-source Cog tool standardizes custom model packaging into containers, while its auto-scaling cloud infrastructure handles GPU provisioning, inference serving, model versioning, and billing automatically, with pay-per-second pricing that scales to zero when idle.


### Key capabilities

- 50,000+ public models accessible via a single API call (image, video, audio, LLM)
- Cog open-source CLI for packaging custom ML models into reproducible containers
- Serverless auto-scaling with scale-to-zero (no idle charges for public models)
- Fine-tuning API for image and language models with LoRA support
- Deployments API for dedicated, always-on private model hosting with configurable scaling
- Pay-per-second GPU billing across T4, L40S, A100 (80GB), and H100 hardware tiers
- Model versioning and full version history
- Webhooks and streaming output for asynchronous inference workflows
- Python, Node.js, and HTTP client libraries with code snippets per model page
- MCP server support and OpenAPI schema for third-party tooling



### Target users

- Software developers building AI-powered applications and products
- ML engineers deploying and serving custom or fine-tuned models
- Startups needing scalable, cost-efficient AI inference without infrastructure overhead
- Product teams integrating generative AI (image, video, audio, LLM) features
- Content creators and creative technologists automating generative workflows
- Researchers and academics exploring open-source AI models



### Key use cases

- Text-to-image generation (FLUX, Stable Diffusion, Ideogram, GPT-Image, and others)
- LLM inference (Llama, DeepSeek, Claude, GPT via unified API)
- Text-to-video and image-to-video generation
- Text-to-speech and audio generation
- Fine-tuning image models on custom datasets (product photos, brand styles, faces)
- Deploying and serving custom or private ML models at production scale
- Rapid AI feature prototyping for web and mobile applications
- Research and experimentation with open-source models without GPU setup

Integrations ecosystem: Replicate provides official client libraries for Python and Node.js/JavaScript, plus a REST HTTP API and published OpenAPI schema. Cog, the open-source CLI tool, packages custom models with all dependencies into reproducible containers that auto-deploy as HTTPS endpoints. Documented integrations and guides include GitHub Actions (CI/CD model publishing), Google Colab, Next.js, SwiftUI, ComfyUI (Stable Diffusion pipelines), Val Town (webhook handling), Cloudflare Workers (post-acquisition roadmap), and Brev/Lambda Labs for GPU development environments. The platform supports webhooks for async predictions, streaming output, LoRA fine-tuning workflows, an MCP server, a Deployments API for dedicated hardware with configurable scaling, and a model versioning system.
Pricing summary: Replicate uses pure pay-as-you-go billing with no free tier. Public models are billed by the second based on GPU hardware: Nvidia T4 at $0.000225/sec ($0.81/hr), L40S at $0.000975/sec ($3.51/hr), A100 80GB at $0.001400/sec ($5.04/hr), and H100 at $0.001525/sec ($5.49/hr). Multi-GPU configurations up to 8×H100 are available via committed-spend contracts. Some models use per-output pricing (e.g., FLUX Schnell at $3.00/1,000 images; FLUX Dev at $0.025/image). LLM models use per-token rates (e.g., DeepSeek-R1 at $3.75/million input tokens). Private custom models run on dedicated hardware and accrue idle-time charges. Enterprise plans add a dedicated account manager, priority support, higher GPU limits, performance SLAs, and volume discounts.
Review summary: Developer sentiment across forums and third-party review aggregators is broadly positive, with consistent praise for API simplicity, the depth and variety of the model catalog, pay-as-you-go flexibility, and zero infrastructure overhead. Capterra reviewers note that inference on available models is straightforward to integrate into backend code. Common criticisms include cold start latency on shared-queue models, the absence of a free trial tier (billing starts immediately), unpredictable costs under dynamic traffic, and higher effective per-GPU rates compared to raw hourly GPU rental for sustained workloads. Some international users report payment gateway friction. No verified platform-specific G2 or Capterra aggregate scores were found for Replicate's ML inference product at the time of research.
Competitive positioning: Replicate positions itself as the developer-first, 'one line of code' AI model platform, differentiating on the breadth of its 50,000+ model catalog, its open-source Cog packaging tool that standardizes model deployment, and a pure pay-per-second serverless model that scales to zero. Unlike specialist LLM inference providers (Fireworks AI, Together AI, Baseten), Replicate targets the full generative AI stack—image, video, audio, and language—for developers who want to discover and run any model without infrastructure setup. Its December 2025 acquisition by Cloudflare (NYSE: NET) gives it a network and edge-compute distribution advantage unavailable to standalone peers, positioning it as the model layer within Cloudflare's full-stack developer platform.
Limitations: Replicate offers no free tier or trial credits—billing begins from the first API call, raising the experimentation barrier versus competitors offering free credits. Cold start latency on shared-queue public models can be significant for latency-sensitive production workloads. Dynamic pay-per-second billing creates cost unpredictability under variable or bursty traffic. The platform is less cost-efficient than hourly GPU rental for sustained, continuous training workloads. Enterprise governance features such as SOC-2 compliance, VPC peering, and regional data residency are limited, restricting adoption in regulated industries. International payment gateway support is inconsistent (user-reported issues with Indian debit cards). Deploying custom models requires familiarity with the Cog toolchain.


### Source urls

- https://replicate.com/
- https://replicate.com/pricing
- https://replicate.com/about
- https://replicate.com/docs
- https://blog.cloudflare.com/replicate-joins-cloudflare/
- https://blog.cloudflare.com/why-replicate-joining-cloudflare/
- https://www.cloudflare.com/press/press-releases/2025/cloudflare-to-acquire-replicate-to-build-the-most-seamless-ai-cloud-for-developers/
- https://sacra.com/c/replicate/
- https://mlq.ai/startups/replicate/
- https://getdeploying.com/replicate
- https://getlatka.com/companies/replicate.com
- https://www.siliconrepublic.com/business/cloudflare-acquires-replicate-ai-deployment-artificial-intelligence-2025

Research approved: 2026-05-06T17:53:54.202+00:00


### Customer outcomes





### Reviews breakdown





### Review themes



#### Praised

- Simple one-line API integration
- Massive public model catalog (50,000+ models)
- Pay-as-you-go billing with no upfront commitment
- No GPU or infrastructure management required
- Auto-scaling to zero eliminates idle costs
- Strong documentation and per-model code examples
- Active community of model contributors
- Wide hardware tier selection (T4 through H100)



#### Criticized

- No free tier or trial credits
- Cold start latency on shared-queue public models
- Unpredictable billing under dynamic or bursty traffic
- Higher effective cost than hourly GPU rental for continuous workloads
- Custom model deployment requires Cog toolchain familiarity
- International payment gateway limitations
- Limited enterprise governance features (SOC-2, VPC peering, data residency)




### Company facts

Founded year: 2019
Hq: San Francisco, CA


#### Founders

- Ben Firshman
- Andreas Jansson

Employees range: 19-50
Total funding: $57.8M
Valuation: $350M
Arr: Not available
Customer count: Not available
Status: Acquired (Cloudflare, NYSE: NET, Dec 2025)


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Modal | 33 | 125 | 26.400000000000002 | 8.275862068965518 |
| RunPod | 27 | 125 | 21.6 | 5.349206349206349 |
| Baseten | 20 | 125 | 16 | 6.243243243243243 |
| Together AI | 16 | 125 | 12.8 | 5.375 |
| Fireworks AI | 12 | 125 | 9.6 | 4.84 |
| Cerebrium | 10 | 125 | 8 | 5.2105263157894735 |
| Replicate | 10 | 125 | 8 | 12.761904761904763 |
| Beam | 6 | 125 | 4.8 | 11.181818181818182 |
| Lepton AI | 0 | 125 | 0 | Not available |
| Sference | 0 | 125 | 0 | Not available |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| bing-copilot-search | 0 | 0 |
| google-ai-mode | 2 | 8 |
| chatgpt-search | 6 | 24 |
| perplexity | 2 | 8 |
| google-ai | 0 | 0 |



## Strengths





## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| What serverless GPU inference providers work best alongside AI orchestration frameworks so teams can chain model calls and tool use cleanly? | 5 |
| Which serverless GPU platforms support batch inference jobs for offline processing pipelines in addition to real-time API endpoints? | 5 |
| Which serverless inference platforms support running large multimodal models — handling both text and image inputs — on high-end GPUs at production scale? | 4 |
| Which serverless inference platforms make it easiest to manage multiple open-source model versions in parallel across staging and production environments? | 3 |
| Which serverless GPU platforms have the best cost-per-token at scale for a startup burning significant GPU budget on a document summarization product? | 3 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 1 |
| Developer Experience | 5 | 2 |
| Integrations & Ecosystem | 5 | 1 |
| Performance & Reliability | 5 | 0 |
| Setup & First Run | 5 | 3 |



## Prompt results

- Prompt text: Which LLM inference platforms let enterprise teams bring their own fine-tuned model weights and enforce strict data isolation with private deployments?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Baseten | 1 |
| Fireworks AI | 3 |
| Together AI | 6 |
| Modal | 10 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Baseten | 2 |



##### Google-ai




- Prompt text: Which LLM inference platforms support deploying quantized open-source models with minimal setup for a backend engineer with no MLOps background?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Together AI | 3 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Modal | 7 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Fireworks AI | 1 |
| RunPod | 4 |



##### Google-ai




- Prompt text: Which serverless inference platforms support running large multimodal models — handling both text and image inputs — on high-end GPUs at production scale?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: 14
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Modal | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 1 |
| RunPod | 6 |
| Baseten | 7 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Cerebrium | 5 |
| Fireworks AI | 8 |
| Together AI | 10 |
| Replicate | 14 |



##### Perplexity

| Display name | Position |
| --- | --- |
| RunPod | 1 |
| Modal | 5 |



##### Google-ai




- Prompt text: Which serverless GPU platforms give engineering teams the most visibility into per-request latency and token throughput right out of the box?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Baseten | 1 |



##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| Baseten | 1 |
| RunPod | 3 |



##### Google-ai




- Prompt text: Which LLM inference platforms integrate natively with vector database services for building retrieval-augmented generation pipelines without extra glue code?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode





##### Chatgpt-search





##### Perplexity





##### Google-ai




- Prompt text: Which serverless inference providers deliver the highest tokens-per-second throughput for a high-volume API serving thousands of concurrent users?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Cerebrium | 7 |



##### Chatgpt-search





##### Perplexity





##### Google-ai




- Prompt text: I'm evaluating serverless inference platforms for a small startup — which ones let you deploy a custom open-source LLM without writing any infrastructure config?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: 3
Perplexity: 3
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Fireworks AI | 2 |
| Together AI | 3 |
| Baseten | 4 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Baseten | 2 |
| Replicate | 3 |
| Modal | 4 |
| RunPod | 6 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Replicate | 3 |



##### Google-ai




- Prompt text: What LLM inference platforms offer the best SDK and API ergonomics for a Python-first engineering team shipping a conversational AI feature?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode





##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| Together AI | 4 |
| Fireworks AI | 6 |



##### Google-ai




- Prompt text: What are the most reliable LLM serving platforms for an enterprise use case that requires 99.9% uptime SLAs and geo-redundant deployments?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Fireworks AI | 7 |



##### Perplexity





##### Google-ai




- Prompt text: What LLM inference platforms can handle sudden traffic spikes — say 10x burst load — without throttling for a mid-sized SaaS product?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Together AI | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Together AI | 1 |
| Baseten | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Together AI | 7 |



##### Google-ai




- Prompt text: Which serverless inference platforms make it easiest to manage multiple open-source model versions in parallel across staging and production environments?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: 4
Chatgpt-search: 9
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Baseten | 1 |
| Replicate | 4 |
| Together AI | 8 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Baseten | 1 |
| Modal | 7 |
| Replicate | 9 |
| RunPod | 11 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Baseten | 1 |



##### Google-ai




- Prompt text: What serverless GPU inference providers work best alongside AI orchestration frameworks so teams can chain model calls and tool use cleanly?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Modal | 3 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Baseten | 1 |
| Modal | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| RunPod | 1 |
| Modal | 3 |
| Baseten | 4 |
| Fireworks AI | 5 |
| Together AI | 8 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Together AI | 2 |
| Fireworks AI | 4 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 2 |
| RunPod | 4 |
| Cerebrium | 6 |


- Prompt text: Which serverless GPU inference platforms have the best developer experience for iterating quickly on prompt templates and sampling parameters without redeploying?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: 3
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Modal | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Together AI | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Modal | 1 |
| RunPod | 2 |
| Replicate | 3 |
| Baseten | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| RunPod | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |


- Prompt text: Which serverless GPU platforms support batch inference jobs for offline processing pipelines in addition to real-time API endpoints?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Beam | 1 |
| Modal | 2 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Cerebrium | 5 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Modal | 1 |
| RunPod | 2 |
| Beam | 3 |
| Cerebrium | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| RunPod | 1 |
| Modal | 3 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Modal | 1 |
| RunPod | 7 |


- Prompt text: Which inference platforms expose an API compatible with the standard chat completions format so switching providers requires minimal code changes?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode





##### Chatgpt-search





##### Perplexity





##### Google-ai




- Prompt text: What LLM inference platforms integrate with cloud object storage for loading large model weights at deploy time without manual upload steps?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Baseten | 2 |
| Cerebrium | 3 |



##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| Baseten | 1 |



##### Google-ai




- Prompt text: What are the fastest serverless GPU inference platforms to go from an open-source LLM to a live production API endpoint with no GPU infrastructure to manage?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: 6
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Modal | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Modal | 11 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Modal | 1 |
| Baseten | 2 |
| Replicate | 6 |
| Together AI | 7 |
| Fireworks AI | 9 |



##### Perplexity

| Display name | Position |
| --- | --- |
| RunPod | 4 |
| Modal | 7 |



##### Google-ai




- Prompt text: Which serverless GPU platforms support webhook callbacks or event-driven triggers for async inference jobs in a data pipeline built on a workflow orchestrator?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: 4
Chatgpt-search: 2
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Baseten | 1 |
| RunPod | 2 |
| Replicate | 4 |
| Modal | 5 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| RunPod | 1 |
| Replicate | 2 |
| Modal | 15 |
| Baseten | 31 |
| Beam | 33 |



##### Perplexity

| Display name | Position |
| --- | --- |
| RunPod | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| RunPod | 1 |
| Modal | 2 |


- Prompt text: What LLM inference platforms handle streaming token responses well and support long context windows for document-processing use cases?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Fireworks AI | 1 |
| Together AI | 5 |



##### Chatgpt-search





##### Perplexity





##### Google-ai




- Prompt text: Which serverless GPU platforms have the best cost-per-token at scale for a startup burning significant GPU budget on a document summarization product?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| RunPod | 1 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| RunPod | 1 |
| Together AI | 2 |
| Fireworks AI | 3 |
| Modal | 4 |



##### Perplexity

| Display name | Position |
| --- | --- |
| RunPod | 1 |
| Cerebrium | 3 |
| Fireworks AI | 5 |



##### Google-ai




- Prompt text: Which LLM inference platforms have the easiest onboarding for a solo developer deploying a fine-tuned open-source model for the first time?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Together AI | 1 |



##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| RunPod | 3 |
| Modal | 5 |



##### Google-ai




- Prompt text: What's the quickest serverless GPU platform to get an image-generation model behind a REST API with autoscaling out of the box?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: 5
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Modal | 1 |
| RunPod | 3 |



##### Google-ai-mode





##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| RunPod | 1 |
| Replicate | 5 |



##### Google-ai

| Display name | Position |
| --- | --- |
| RunPod | 4 |


- Prompt text: What are the best LLM serving platforms for a small ML team that needs built-in request logging and usage dashboards without wiring up a separate observability stack?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode





##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Baseten | 1 |
| Modal | 3 |



##### Perplexity





##### Google-ai




- Prompt text: I'm looking for an inference platform that supports custom CUDA kernels and speculative decoding — what are my options for a performance-critical chatbot?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode





##### Chatgpt-search





##### Perplexity





##### Google-ai




- Prompt text: Which serverless GPU inference platforms have the lowest cold-start latency for a customer-facing chat app that needs sub-second first-token response times?


#### Brand position by platform

Bing-copilot-search: Not available
Google-ai-mode: Not available
Chatgpt-search: Not available
Perplexity: Not available
Google-ai: Not available



#### Platform rows



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Cerebrium | 1 |
| Beam | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Beam | 1 |
| Cerebrium | 2 |
| RunPod | 9 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Modal | 1 |
| RunPod | 3 |
| Beam | 6 |
| Cerebrium | 7 |



##### Google-ai







## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://replicate.com/docs/get-started/deploy-a-custom-model | Deploy a custom model - Replicate | replicate.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/16f1426c-4fe3-4ca3-83a1-36e76ba0b4b5/379f7f9ff3fbef419d6893587ea7dd7221c91f5e.png | commercial | product_page | 17 | 17 |
| https://replicate.com/docs/topics/deployments | Deployments - Replicate | replicate.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/16f1426c-4fe3-4ca3-83a1-36e76ba0b4b5/379f7f9ff3fbef419d6893587ea7dd7221c91f5e.png | commercial | product_page | 10 | 10 |
| https://replicate.com/docs/topics/deployments/ | Deployments - Replicate | replicate.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/16f1426c-4fe3-4ca3-83a1-36e76ba0b4b5/379f7f9ff3fbef419d6893587ea7dd7221c91f5e.png | commercial | product_page | 6 | 6 |
| https://replicate.com/docs/guides/build/push-a-model | Push your own model - Replicate | replicate.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/16f1426c-4fe3-4ca3-83a1-36e76ba0b4b5/379f7f9ff3fbef419d6893587ea7dd7221c91f5e.png | commercial | product_page | 4 | 4 |
| https://replicate.com/ | Replicate - Run AI with an API | replicate.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/16f1426c-4fe3-4ca3-83a1-36e76ba0b4b5/379f7f9ff3fbef419d6893587ea7dd7221c91f5e.png | commercial | product_page | 4 | 4 |
| https://replicate.com/docs/topics/predictions/create-a-prediction | Create a prediction - Replicate | replicate.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/16f1426c-4fe3-4ca3-83a1-36e76ba0b4b5/379f7f9ff3fbef419d6893587ea7dd7221c91f5e.png | commercial | product_page | 4 | 4 |
| https://replicate.com/docs/get-started/deploy-a-custom-model/ | Deploy a custom model | replicate.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/16f1426c-4fe3-4ca3-83a1-36e76ba0b4b5/379f7f9ff3fbef419d6893587ea7dd7221c91f5e.png | commercial | product_page | 3 | 3 |
| https://github.com/replicate/cog/blob/main/docs/deploy.md | github.com/replicate/cog - deploy.md | github.com | Not available | commercial | documentation | 3 | 3 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| What's the quickest serverless GPU platform to get an image-generation model behind a REST API with autoscaling out of the box? | google-ai | Replicate (Fastest if the model is already standard) * How it works: If you are using popular open-source models (like Stable Diffusion or FLUX), you can push them using Cog (Replicate's open-source packaging tool). |
| I'm evaluating serverless inference platforms for a small startup — which ones let you deploy a custom open-source LLM without writing any infrastructure config? | google-ai | Replicate * Best For: Quick prototyping and deploying custom open-source models packaged via tools like `cog` . * How it works: Replicate allows you to run open-source models on a serverless, pay-as-you-go GPU cloud. |
| Which serverless GPU inference platforms have the lowest cold-start latency for a customer-facing chat app that needs sub-second first-token response times? | google-ai | \| \| Baseten / Replicate \| 15–60s+ (Scale-to-zero) \| Managed model packaging (Truss); better suited for high-volume endpoints utilizing warm replicas . \| Production apps that can afford to keep at least 1–2 instances warm permanently. |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| bing-copilot-search | Modal | Best serverless GPU inference providers for chaining model calls and tool use are Modal, Baseten, Fireworks AI, CoreWeave, and Databricks AI Runtime. |
| google-ai-mode | Baseten | Baseten * * Best For: Production-grade model APIs with heavy framework integrations and custom Triton/vLLM runtimes. |
| google-ai-mode | Modal | Modal * Best For: Code-first, highly dynamic pipelines where your tools and your model inference live in the same serverless deployment graph. |
| chatgpt-search | RunPod | The best serverless GPU inference providers for AI orchestration are generally Runpod, Modal, Baseten, Fireworks AI, Together AI, and fal. |
| chatgpt-search | Modal | The best serverless GPU inference providers for AI orchestration are generally Runpod, Modal, Baseten, Fireworks AI, Together AI, and fal. |
| perplexity | Together AI | For chaining model calls and tool use, Together AI and Fireworks AI are strong starting points: both offer managed serverless inference and fit naturally into common orchestration stacks. |
| google-ai | Modal | Modal Best For: Code-first pipeline execution, custom tool environments, and complex multi-model pipelines. |
| bing-copilot-search | Beam | Leading options include Beam, Modal, RunPod, Baseten, Replicate, Northflank, Koyeb, and Spheron. |
| bing-copilot-search | Modal | Leading options include Beam, Modal, RunPod, Baseten, Replicate, Northflank, Koyeb, and Spheron. |
| google-ai-mode | Modal | ...enerally scale across two operational tiers: \| Platform Feature / Metric \| Tier 1: Advanced Native Batch + Real-Time (e.g., Modal) \| Tier 2: Concurrency/Queue-Driven Batch + Real-Time (e.g., Beam, Cerebrium) \| \|---------------------------\|---------... |
| chatgpt-search | Modal | The strongest options are Modal, Runpod, and Beam, with some additional platforms worth considering depending on whether you want managed model APIs or control over your own inference containers. |
| chatgpt-search | RunPod | The strongest options are Modal, Runpod, and Beam, with some additional platforms worth considering depending on whether you want managed model APIs or control over your own inference containers. |



## Trend

Visibility delta: 0.8000000000000007
Avg position delta: 3.3982683982683994
Citation count delta: -1