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Fluidstack
Enterprise Solutions · 101.4K monthly visits

Fluidstack is a leading AI cloud platform providing high-performance, dedicated GPU clusters for training and serving frontier AI models. It offers rapid deployment of thousands of GPUs, fully managed services with 24/7 expert support, and transparent pricing with zero egress fees, empowering AI teams to scale without infrastructure friction.

VS
FuriosaAI
Infrastructure · 32.3K monthly visits

FuriosaAI develops high-performance, power-efficient AI accelerators for data centers. Its flagship product, RNGD, is designed for demanding AI inference tasks, particularly for large language models (LLMs). Featuring the innovative Tensor Contraction Processor (TCP) architecture, RNGD delivers exceptional performance at a very low 180W power consumption, significantly reducing the total cost of ownership and environmental impact for enterprise and cloud AI deployments.

Fluidstack vs FuriosaAI: pricing, features, traffic, and use cases

Compare Fluidstack and FuriosaAI across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 18, 2026

Product overview

Fluidstack Product overview

Fluidstack is a leading AI cloud platform providing high-performance, dedicated GPU clusters for training and serving frontier AI models. It offers rapid deployment of thousands of GPUs, fully managed services with 24/7 expert support, and transparent pricing with zero egress fees, empowering AI teams to scale without infrastructure friction.

Preview

FuriosaAI Product overview

FuriosaAI develops high-performance, power-efficient AI accelerators for data centers. Its flagship product, RNGD, is designed for demanding AI inference tasks, particularly for large language models (LLMs). Featuring the innovative Tensor Contraction Processor (TCP) architecture, RNGD delivers exceptional performance at a very low 180W power consumption, significantly reducing the total cost of ownership and environmental impact for enterprise and cloud AI deployments.

Preview

Detailed feature comparison

FeatureFluidstackFuriosaAI
Primary categoryEnterprise SolutionsInfrastructure
Added2025-08-092025-08-14
PricingPaidNot verified
Official websitewww.fluidstack.iofuriosa.ai
Product typeWebsiteWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits101.4K32.3K
Monthly growth0.4%-5.2%
Favorites100148
DetailsView detailsView details

Fluidstack vs FuriosaAI monthly traffic

Compare Fluidstack and FuriosaAI by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Fluidstack vs FuriosaAI monthly traffic comparison, Fluidstack currently shows 101.4K visits and FuriosaAI shows 32.3K; Fluidstack has about 3.1 times the visible traffic of FuriosaAI, an absolute difference of about 69.1K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

Fluidstack monthly traffic:

Latest traffic

Monthly visits
101.4K
Avg. visit duration
1:06
Pages per visit
2.58
Bounce rate
39.33%
Data updated 2026-06-11

Monthly traffic trend

  • 2025/9: 28.9K Monthly visits
  • 2026/1: 91.6K Monthly visits
  • 2026/2: 69.4K Monthly visits
  • 2026/3: 95.5K Monthly visits
  • 2026/4: 101K Monthly visits
  • 2026/5: 101.4K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States87.31%88.5K
🇬🇧United Kingdom6.99%7.1K
🇮🇳India2.34%2.4K
🇨🇦Canada1.75%1.8K
🇻🇳Vietnam1.61%1.6K

Traffic sources

Source typePercentageTraffic
Direct77.86%79K
Referral16.42%16.7K
Email5.72%5.8K

Search keywords

fluid stackfluidstackfluidstack careersfluidstack jobsfluidstack technical program manager, deployments

FuriosaAI monthly traffic:

Latest traffic

Monthly visits
32.3K
Avg. visit duration
1:05
Pages per visit
2.41
Bounce rate
38.15%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 43.9K Monthly visits
  • 2026/1: 67.6K Monthly visits
  • 2026/2: 56.1K Monthly visits
  • 2026/3: 53.5K Monthly visits
  • 2026/4: 34.1K Monthly visits
  • 2026/5: 32.3K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇰🇷Korea, Republic of74.85%24.2K
🇺🇸United States11.44%3.7K
🇵🇹Portugal5.3%1.7K
🇫🇷France4.43%1.4K
🇻🇳Vietnam3.98%1.3K

Traffic sources

Source typePercentageTraffic
Direct72.65%23.5K
Referral27.35%8.8K

Search keywords

퓨리오사퓨리오사 ai퓨리오사aifuriosa aifuriosaai
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Fluidstack first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of Fluidstack and FuriosaAI

Fluidstack Core features

Machine Learning
Enterprise Solutions
Cloud Computing

FuriosaAI Core features

Machine Learning
Infrastructure
Ai Accelerators

Use cases

Fluidstack Use cases

deep learning
enterprise AI
machine learning
AI infrastructure
B200
cloud computing
GPU cloud
H100
high performance computing
inference
model training

FuriosaAI Use cases

deep learning
enterprise AI
machine learning
AI accelerator
AI hardware
cloud infrastructure
data center
LLM inference
low power AI
sustainable AI
tensor processor

Fluidstack vs FuriosaAI:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Fluidstack vs FuriosaAI comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Fluidstack is primarily listed under “Enterprise Solutions”, while FuriosaAI is primarily listed under “Infrastructure”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Fluidstack: Enterprise Solutions; FuriosaAI: Infrastructure); Pricing (Fluidstack: Paid; FuriosaAI: Not disclosed); Monthly visits (Fluidstack: 101.4K; FuriosaAI: 32.3K); Monthly growth (Fluidstack: 0.4%; FuriosaAI: -5.2%); Favorites (Fluidstack: 100; FuriosaAI: 148). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Fluidstack vs FuriosaAI monthly traffic comparison, Fluidstack currently shows 101.4K visits and FuriosaAI shows 32.3K; Fluidstack has about 3.1 times the visible traffic of FuriosaAI, an absolute difference of about 69.1K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate Fluidstack first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

Fluidstack and FuriosaAI currently overlap in shared categories: Machine Learning; shared tags: deep learning, enterprise AI, and machine learning. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Fluidstack's unique categories/tags are Enterprise Solutions, Cloud Computing, AI infrastructure, B200, cloud computing, GPU cloud, H100, and high performance computing; FuriosaAI's are Infrastructure, Ai Accelerators, AI accelerator, AI hardware, cloud infrastructure, data center, LLM inference, and low power AI. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Fluidstack has no verified rating, 0 comments, 100 favorites, and 98 likes;FuriosaAI has no verified rating, 0 comments, 148 favorites, and 150 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Fluidstack first

Put Fluidstack on the priority trial list when the task aligns with “Enterprise Solutions” and especially Enterprise Solutions, Cloud Computing, AI infrastructure, B200, cloud computing, and GPU cloud. This follows recorded positioning and does not imply unlisted capabilities are absent.

Fluidstack also currently records: pricing is paid, product type is website, 101.4K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate FuriosaAI first

Put FuriosaAI on the priority trial list when the task aligns with “Infrastructure” and especially Infrastructure, Ai Accelerators, AI accelerator, AI hardware, cloud infrastructure, and data center. This follows recorded positioning and does not imply unlisted capabilities are absent.

FuriosaAI also currently records: pricing is not verified, product type is website, 32.3K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Fluidstack and FuriosaAI, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Comparison FAQ

How should I choose between Fluidstack and FuriosaAI?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

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