# FluidStack vs Riverside

FluidStack records 154,620 monthly visits with +7.3% month-over-month growth and Paid, Contact for Pricing pricing. Riverside records 4,069,413 monthly visits with +4.5% growth and Freemium pricing.

| Metric | [FluidStack](https://openaitools.app/tool/fluidstack) | [Riverside](https://openaitools.app/tool/riverside) |
| :--- | :--- | :--- |
| Website URL | https://fluidstack.io | https://riverside.com |
| Categories | AI Developer Tools, AI Models, Large Language Models (LLMs) | AI Podcast, AI Podcast Editing, AI Video Editor, AI Transcription |
| Pricing Model | Paid, Contact for Pricing | Freemium |
| Monthly Visits | 154,620 | 4,069,413 |
| MoM Growth Rate | +7.3% | +4.5% |
| Primary Market | United States | United States |
| Direct Visits | 47,869 | 2,748,225 |
| Review Score | 4.4 | 4.6 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## FluidStack

FluidStack is an AI compute provider that builds the physical layer underneath frontier model work: data centers, power, cooling and very large GPU clusters. Its public positioning is deliberately infrastructural rather than product-led — it describes building gigawatt-scale compute, bringing new sites online in months, and operating tens of millions of accelerators reliably. For teams training or serving large models, that translates into reserved, single-tenant-class capacity that is provisioned and operated for you rather than an instant, self-serve VM catalogue.

A distinguishing theme is the pairing of power and compute. FluidStack writes about redesigning compute and power infrastructure from first principles, developing off-grid solar to supply clusters, and using closed-loop cooling that fills tanks once and recirculates water indefinitely. It also emphasises building in the United States with onshored manufacturing, framing infrastructure ownership as a strategic question about which values shape the technology being built. For AI organisations, these are increasingly relevant because energy availability, not chip supply alone, is the binding constraint on scaling.

If you need a small number of GPUs for a day, FluidStack is probably not the fastest route; capacity is engaged at enterprise scale through a sales process. If you are planning a multi-month training run or a production inference fleet and want dedicated, purpose-built infrastructure with managed operations, it is a strong candidate to evaluate alongside the major hyperscalers and specialised GPU clouds.

**Pricing & Plans:** Enterprise and contact-for-pricing. FluidStack does not publish per-GPU-hour rates or a self-serve sign-up on its website; capacity is scoped and quoted through a direct sales conversation based on cluster size, duration and hardware. Catalogue listings classify it as a paid product requiring contact for pricing.

- **Datacenter-scale compute built in-house:** FluidStack designs and builds large AI data centers, including high-density campuses with significant per-site power capacity, rather than reselling capacity from other clouds.
- **GPU clusters for training and inference:** Clusters are architected for large-scale model training and inference, with high-bandwidth interconnect and orchestration suitable for distributed workloads.
- **Power and cooling engineered together:** The company develops off-grid solar and recirculating closed-loop cooling, treating power and water efficiency as core engineering problems.
- **Managed operations and reliability:** Smart hands, cluster provisioning and operations support let research teams focus on models while FluidStack runs the physical and orchestration layers.
- **US-built and onshored supply chain:** Data centers are built in the United States with onshored manufacturing of compute and power infrastructure, a deliberate supply-chain and sovereignty choice.

**Strengths:** Purpose-built AI infrastructure rather than generic cloud resale; Power, cooling and data center design handled in-house, which matters at scale; Managed provisioning and operations for large training and inference clusters; Explicit positioning on US-built, onshored infrastructure

**Limitations:** No published self-serve pricing or instant sign-up; access requires a sales conversation; Enterprise-scale focus means very small individual workloads may not be a fit; Capacity is concentrated in US locations, which may matter for latency-sensitive or data-residency-bound teams

[Profile (Markdown)](https://openaitools.app/tool/fluidstack.md)

## Riverside

Riverside replaces the traditional studio setup with a browser-based workflow. Each guest records locally on their own device, so video lands in up to 4K and audio in uncompressed quality even when someone's internet connection drops mid-sentence. Separate tracks for every speaker make it easy to fix crosstalk, rebalance levels, or cut a single voice out of the mix.

Editing is built around the transcript. Instead of scrubbing a timeline, you search, cut, copy, and paste text and the video follows. Riverside's AI layers on top of that: it removes filler words and silences, generates B-roll from a prompt, corrects eye contact so guests appear to look at the camera, and produces animated captions. The AI Co-Creator turns one session into clips, thumbnails, headlines, and show notes formatted for each channel.

Beyond creation, Riverside covers distribution. Podcast hosting with built-in analytics, one-click publishing to YouTube, Spotify, Apple Podcasts, Instagram, and LinkedIn, full-HD multistreaming to several destinations at once, plus webinar registration, Q&A, polls, call-ins, and HubSpot lead syncing. Teams get producer mode, collaborative editing, SSO, and MCP support for agent-based workflows.

**Pricing & Plans:** Freemium. A free tier allows 2 hours of multi-track recording at up to 720p with a watermark, plus unlimited single-track recording and basic editing. Paid plans are billed monthly or annually (annual saves up to 20%): Pro around $29/month, Grow around $39/month, and Webinar around $99/month. A Business tier with unlimited studios, async recording, SSO, and priority support is quoted through sales. Pro trials run 14 days.

- **Local 4K multi-track recording:** Every participant records locally on their own device, capturing up to 4K video and 48kHz uncompressed audio in separate tracks that stay sharp regardless of connection quality.
- **Text-based AI editor:** Edit video by editing the transcript — search, cut, copy, and paste words and the footage updates. AI then removes filler words and silences or fixes eye contact in one click.
- **AI Co-Creator and Magic Clips:** Turn a finished session into promotional assets: short clips optimized for each platform, thumbnails, headlines, show notes, transcripts, and translations or dubs in over 30 languages.
- **Live streaming and webinars:** Broadcast in full HD 1080p to unlimited destinations simultaneously, or host webinars with registration, branded emails, Q&A, live call-ins, polls, and HubSpot lead capture.
- **Built-in podcast hosting and publishing:** Publish episodes directly to YouTube, Spotify, Apple Podcasts, Instagram, and LinkedIn, with episode analytics and auto-generated descriptions, chapters, and keywords.

**Strengths:** Local recording keeps audio and video clean even on weak connections; Separate tracks per speaker make post-production far less painful; Transcription-driven editing is genuinely faster than a traditional timeline; AI repurposing, hosting, streaming, and webinars live in one subscription

**Limitations:** Free plan tops out at 720p and adds a watermark; Several AI features consume credits, which run out on heavy use; Separate-track download hours are capped per month on lower tiers

[Profile (Markdown)](https://openaitools.app/tool/riverside.md)

## Frequently Asked Questions

### How do FluidStack and Riverside compare in monthly traffic?

FluidStack has 154,620 monthly visits, while Riverside has 4,069,413. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

FluidStack has a month-over-month growth rate of +7.3%; Riverside has +4.5%.

### How does pricing compare?

FluidStack: Paid, Contact for Pricing. Enterprise and contact-for-pricing. FluidStack does not publish per-GPU-hour rates or a self-serve sign-up on its website; capacity is scoped and quoted through a direct sales conversation based on cluster size, duration and hardware. Catalogue listings classify it as a paid product requiring contact for pricing. Riverside: Freemium. Freemium. A free tier allows 2 hours of multi-track recording at up to 720p with a watermark, plus unlimited single-track recording and basic editing. Paid plans are billed monthly or annually (annual saves up to 20%): Pro around $29/month, Grow around $39/month, and Webinar around $99/month. A Business tier with unlimited studios, async recording, SSO, and priority support is quoted through sales. Pro trials run 14 days.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [CapCut](https://openaitools.app/tool/capcut-com) | 54,700,686 | +13.2% | Freemium | Delivers powerful timeline editing and AI tools, but lacks dedicated remote podcast recording and local track separation. | [.md](https://openaitools.app/tool/capcut-com.md) |
| 2 | [Wondershare Filmora](https://openaitools.app/tool/wondershare-filmora) | 11,475,751 | +5.5% | Free Trial, Paid | AI-assisted video editing for beginners and professionals alike | [.md](https://openaitools.app/tool/wondershare-filmora.md) |
| 3 | [Adobe Podcast](https://openaitools.app/tool/adobe-podcast) | 10,862,761 | -1.2% | Freemium | Provides powerful web-based voice enhancement and recording, but lacks Riverside's multi-track local 4K capture suite. | [.md](https://openaitools.app/tool/adobe-podcast.md) |
| 4 | [VEED.IO](https://openaitools.app/tool/veed-io) | 8,011,728 | +1.8% | Freemium, Free Trial, Paid, Contact for Pricing | Provides fast browser-based video editing and auto-subtitles, but lacks Riverside's specialized local 4K multi-track recording. | [.md](https://openaitools.app/tool/veed-io.md) |
| 5 | [Descript](https://openaitools.app/tool/descript) | 3,267,817 | +11.1% | Freemium, Paid | Offers robust text-based video and audio editing, but lacks Riverside's dedicated high-resolution local recording architecture. | [.md](https://openaitools.app/tool/descript.md) |
| 6 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Delivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 7 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | Offers flexible on-demand GPU rentals and serverless endpoints, but lacks FluidStack's ultra-scale enterprise GPU clusters. | [.md](https://openaitools.app/tool/runpod.md) |
| 8 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Focuses on optimized serverless inference APIs and managed model hosting rather than raw cluster rentals. | [.md](https://openaitools.app/tool/together-ai.md) |
| 9 | [Vizard](https://openaitools.app/tool/vizard) | 1,455,176 | -3.5% | Freemium | Streamlines turning long podcasts into short clips, but does not provide live multi-guest recording studios. | [.md](https://openaitools.app/tool/vizard.md) |
| 10 | [Vast.ai](https://openaitools.app/tool/vast-ai) | 1,257,554 | +2.8% | Paid | Delivers peer-to-peer GPU rental marketplaces for lower-cost experimentation, though with less enterprise infrastructure predictability. | [.md](https://openaitools.app/tool/vast-ai.md) |

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Source: https://openaitools.app/compare/fluidstack-vs-riverside

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)