# Cerebrium vs Inquir Compute Cerebrium records 26,974 monthly visits with -50.8% month-over-month growth and Free Trial, Paid pricing. Inquir Compute records 769 monthly visits with -59.1% growth and Freemium pricing. | Metric | [Cerebrium](https://openaitools.app/tool/cerebrium) | [Inquir Compute](https://openaitools.app/tool/inquir) | | :--- | :--- | :--- | | Website URL | https://www.cerebrium.ai | https://inquir.org | | Categories | AI Developer Tools, AI API, AI Models, Large Language Models (LLMs) | AI Search Engine, AI Chatbot, AI API, No-Code&Low-Code | | Pricing Model | Free Trial, Paid | Freemium | | Monthly Visits | 26,974 | 769 | | MoM Growth Rate | -50.8% | -59.1% | | Primary Market | United States | Global | | Direct Visits | 15,045 | 305 | | Review Score | 4.3 | 3.8 | | Saved Count | 0 | 1 | | Supported Platforms | Website | Website | ## Cerebrium Cerebrium is serverless GPU infrastructure built specifically for real-time AI. Rather than asking teams to manage Kubernetes clusters or reserve GPU capacity in advance, it runs whatever container you point it at — LLM servers, voice pipelines, diffusion models, video generators — and takes care of provisioning, autoscaling, and routing. The platform emphasises low-latency startup: memory and GPU snapshots restore containers in roughly 2–4 seconds, compared with tens of seconds on conventional providers. The company targets workloads where the first response is as important as the thousandth. Its own benchmarks and case studies cover voice agents responding in around 500 ms, deepfake detection at Resemble AI, AI-native web search at Linkup, digital humans at bitHuman and Tavus, and 50% lower inference costs at DistilLabs. Because cold starts dominate perceived quality in these products, Cerebrium treats startup time as a headline metric. Under the hood it offers GPU types spanning Hopper and other generations across multiple clouds and regions, with pay-per-second billing so idle time is not charged. Bring-your-own-code deployment supports plain scripts, Dockerfiles, vLLM, SGLang, and Triton with TensorRT-LLM. Security controls include SOC 2 Type II, HIPAA, GDPR alignment, gVisor isolation, and regional data residency, and there is a free tier for trials in addition to paid usage. **Pricing & Plans:** Free tier plus usage-based, pay-per-second billing on your chosen GPU hardware, with no reservations or long-term commitments. Exact rates are listed on the official pricing page. - **Sub-second to low-second cold starts:** Memory and GPU snapshotting restores containers in roughly 2–4 seconds, which is essential for voice agents and other interactive workloads. - **Elastic GPU capacity:** Access thousands of GPUs across 12+ GPU types and multiple clouds with no reservations or lock-in, scaling automatically on traffic bursts. - **Bring your own code:** Deploy LLMs, voice pipelines, and image or video models from your own code or Dockerfile, with REST, WebSocket, and streaming endpoints. - **End-to-end observability:** Real-time logs, metrics, and scaling events with native OpenTelemetry support for plugging into existing monitoring tools. - **Compliance and isolation:** SOC 2 Type II, HIPAA, GDхPR, and ISO-aligned controls, gVisor isolation, multi-region failover, and regional data residency options. **Strengths:** Snapshot-based restores cut cold starts to a few seconds, a real advantage for voice and interactive video; No Kubernetes to manage and no GPU reservations or capacity planning; Bring your own code or Dockerfile with no rewrites or proprietary SDK; Pay-per-second billing means idle resources are not billed [Profile (Markdown)](https://openaitools.app/tool/cerebrium.md) ## Inquir Compute Inquir Compute is a cloud platform for running applications, positioned as an alternative to platforms like Railway, Render, Fly.io, Vercel Functions and AWS Lambda. The workflow follows a pattern developers already know: connect a repository or container image, let the platform build it, then promote the release to production. It also keeps the previous release around as a reserve for quick rollbacks. What distinguishes it is how much it packs into a single project. Container apps, serverless functions, scheduled pipelines, background workers and databases all live side by side, connected over a private network rather than the public internet. You can provision PostgreSQL with pgvector for embeddings, Redis for caching, and MongoDB or MySQL as needed, and wire them to your services without external exposure. Observability panels cover memory, CPU, request latency and network egress so you can spot a service nearing its limits and add replicas. Access is flexible: a web console with an integrated editor, an Inquir CLI for deploying functions and containers from the terminal, and MCP-based deployment from AI coding tools like Claude Code, Cursor and Codex. The platform is priced in roubles with a 14-day free trial, Simple and Pro subscription tiers, and an Enterprise/on-premise option for organizations that need it in their own infrastructure. **Pricing & Plans:** Paid with a free trial. A 14-day free trial is available without a card (once per account). Simple is 590 roubles/month and Pro is 2,490 roubles/month (yearly billing gives two months free), while Enterprise/On-Premise is a custom quote. Prices are in roubles and payment is handled through the platform's payment provider. - **Dockerfile and container deploys:** Deploy from a Dockerfile or container image; Inquir builds the image, cuts a release and switches traffic when readiness checks pass. - **Private networking:** Bring apps, functions and databases into one project and let them talk over an internal network instead of the public internet. - **Serverless functions and pipelines:** Run synchronous and asynchronous functions, scheduled jobs and pipelines with run history, including background processing for web apps. - **Managed databases:** Provision PostgreSQL (with pgvector), Redis, MongoDB and MySQL alongside your services, complete with persistent volumes. - **Observability and scaling:** Watch memory, CPU, network and latency, then add replicas when an app approaches its limits. - **CLI, IDE and API access:** Deploy from the web console, the Inquir CLI or AI coding agents over MCP, with custom domains and API key auth for serverless functions. **Strengths:** Apps, functions, pipelines and databases managed together in one project with private networking; Deploy from Dockerfile or container image, with rollback to the previous release; Managed PostgreSQL with pgvector, Redis, MongoDB and MySQL included; Observability and replica scaling built in, plus CLI and MCP-based deployment **Limitations:** Interface and pricing are currently oriented toward Russian-speaking users and local payment methods; Public prices are in roubles and card payments were rolling out gradually at the time of review; Less aimed at casual/free users, since the free tier is a 14-day trial rather than a permanent plan; Managed hosting means less low-level control than running your own servers [Profile (Markdown)](https://openaitools.app/tool/inquir.md) ## Frequently Asked Questions ### How do Cerebrium and Inquir Compute compare in monthly traffic? Cerebrium has 26,974 monthly visits, while Inquir Compute has 769. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Cerebrium has a month-over-month growth rate of -50.8%; Inquir Compute has -59.1%. ### How does pricing compare? Cerebrium: Free Trial, Paid. Free tier plus usage-based, pay-per-second billing on your chosen GPU hardware, with no reservations or long-term commitments. Exact rates are listed on the official pricing page. Inquir Compute: Freemium. Paid with a free trial. A 14-day free trial is available without a card (once per account). Simple is 590 roubles/month and Pro is 2,490 roubles/month (yearly billing gives two months free), while Enterprise/On-Premise is a custom quote. Prices are in roubles and payment is handled through the platform's payment provider. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.md) | | 2 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all b | [.md](https://openaitools.app/tool/together-ai.md) | | 3 | [Vast.ai](https://openaitools.app/tool/vast-ai) | 1,257,554 | +2.8% | Paid | Rent cloud GPUs by the second from a global marketplace | [.md](https://openaitools.app/tool/vast-ai.md) | | 4 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Serverless cloud infrastructure for AI and data workloads | [.md](https://openaitools.app/tool/modal-com.md) | | 5 | [Nebius](https://openaitools.app/tool/nebius) | 1,145,711 | +10.7% | Paid, Contact for Pricing | An AI-native cloud built from silicon to API for training, tuning, and serving models | [.md](https://openaitools.app/tool/nebius.md) | | 6 | [Salad](https://openaitools.app/tool/salad-gpu-cloud) | 713,519 | +10.4% | Free Trial, Paid, Contact for Pricing | Distributed GPU cloud that orchestrates the world's idle consumer GPUs | [.md](https://openaitools.app/tool/salad-gpu-cloud.md) | | 7 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Low-cost serverless inference APIs for 200+ open models | [.md](https://openaitools.app/tool/deep-infra.md) | | 8 | [Zeabur](https://openaitools.app/tool/zeabur) | 275,642 | -15.9% | Free Trial, Paid | AI DevOps engineer that deploys and scales your apps | [.md](https://openaitools.app/tool/zeabur.md) | | 9 | [Lightning AI](https://openaitools.app/tool/lightning-ai) | 272,562 | -12.3% | Freemium, Paid, Contact for Pricing | The AI cloud built by the creators of PyTorch Lightning | [.md](https://openaitools.app/tool/lightning-ai.md) | | 10 | [Novita AI](https://openaitools.app/tool/novita-ai) | 271,371 | -10.4% | Paid | One cloud for 200+ model APIs, agent sandboxes and GPU compute | [.md](https://openaitools.app/tool/novita-ai.md) | --- Source: https://openaitools.app/compare/cerebrium-vs-inquir More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)