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Fluidstack
기업 솔루션 · 101.4K 월 방문

Fluidstack은 최첨단 AI 모델의 훈련 및 서비스를 위한 고성능 전용 GPU 클러스터를 제공하는 선도적인 AI 클라우드 플랫폼입니다. 수천 개의 GPU를 신속하게 배포하고, 24/7 전문가 지원을 포함한 완전 관리형 서비스를 제공하며, 데이터 전송 비용이 없는 투명한 가격 정책으로 AI 팀이 인프라 문제 없이 확장할 수 있도록 지원합니다.

VS
Gmi Cloud
MLOps · 90.5K 월 방문

Gmi Cloud는 확장 가능한 AI 훈련 및 추론을 위해 설계된 고성능 GPU 클라우드 플랫폼입니다. 최상위 NVIDIA GPU에 대한 온디맨드 액세스, 저지연을 위한 최적화된 추론 엔진, 간소화된 MLOps를 위한 클러스터 엔진을 제공하여 개발자와 기업이 효율적이고 비용 효과적으로 AI 애플리케이션을 구축, 배포 및 확장할 수 있도록 지원합니다.

Fluidstack vs Gmi Cloud: 가격, 기능 및 트래픽 비교

제품 정보, 분류, 트래픽 및 사용자 반응을 바탕으로 Fluidstack와 Gmi Cloud를 비교합니다.

업데이트 2026. 8. 5.

제품 개요

Fluidstack 제품 개요

Fluidstack은 최첨단 AI 모델의 훈련 및 서비스를 위한 고성능 전용 GPU 클러스터를 제공하는 선도적인 AI 클라우드 플랫폼입니다. 수천 개의 GPU를 신속하게 배포하고, 24/7 전문가 지원을 포함한 완전 관리형 서비스를 제공하며, 데이터 전송 비용이 없는 투명한 가격 정책으로 AI 팀이 인프라 문제 없이 확장할 수 있도록 지원합니다.

Preview

Gmi Cloud 제품 개요

Gmi Cloud는 확장 가능한 AI 훈련 및 추론을 위해 설계된 고성능 GPU 클라우드 플랫폼입니다. 최상위 NVIDIA GPU에 대한 온디맨드 액세스, 저지연을 위한 최적화된 추론 엔진, 간소화된 MLOps를 위한 클러스터 엔진을 제공하여 개발자와 기업이 효율적이고 비용 효과적으로 AI 애플리케이션을 구축, 배포 및 확장할 수 있도록 지원합니다.

Preview

Detailed feature comparison

FeatureFluidstackGmi Cloud
주요 카테고리기업 솔루션MLOps
등록일2025-08-092025-11-03
가격유료유료
공식 사이트www.fluidstack.iowww.gmicloud.ai
제품 유형웹사이트웹사이트
Performance data
사용자 평점확인되지 않음확인되지 않음
댓글00
월 방문101.4K90.5K
월 성장률0.4%29.8%
즐겨찾기95126
Details상세 보기상세 보기

Fluidstack vs Gmi Cloud monthly traffic

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

How to interpret the traffic data

In the Fluidstack vs Gmi Cloud monthly traffic comparison, Fluidstack currently shows 101.4K visits and Gmi Cloud shows 90.5K; Fluidstack has about 1.1 times the visible traffic of Gmi Cloud, an absolute difference of about 10.9K 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

월 방문
101.4K
평균 방문 시간
1:06
방문당 페이지
2.58
이탈률
39.33%
Data updated 2026-06-11

Monthly traffic trend

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

주요 지역

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

트래픽 소스

Source typePercentageTraffic
직접77.86%79K
리퍼럴16.42%16.7K
이메일5.72%5.8K

검색 키워드

fluid stackfluidstackfluidstack careersfluidstack jobsfluidstack technical program manager, deployments

Gmi Cloud monthly traffic:

Latest traffic

월 방문
90.5K
평균 방문 시간
0:50
방문당 페이지
2.52
이탈률
38.13%
Data updated 2026-06-15

Monthly traffic trend

  • 2026/1: 85.6K 월 방문
  • 2026/2: 72K 월 방문
  • 2026/3: 73.9K 월 방문
  • 2026/4: 69.7K 월 방문
  • 2026/5: 90.5K 월 방문

주요 지역

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States41.28%37.3K
🇹🇼Taiwan22.36%20.2K
🇮🇳India19.91%18K
🇹🇭Thailand8.94%8.1K
🇧🇷Brazil7.51%6.8K

트래픽 소스

Source typePercentageTraffic
직접84.54%76.5K
리퍼럴14.65%13.3K
이메일0.81%733

검색 키워드

deepseek v4 papergmigmi cloudgmicloudhardware accelerated gpu scheduling
Traffic-based selection guidance: The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.

Usage comparison

Compare the core capabilities of Fluidstack and Gmi Cloud

Fluidstack Core features

클라우드 컴퓨팅
기업 솔루션
머신러닝

Gmi Cloud Core features

클라우드 컴퓨팅
MLOps
GPU 클라우드

Use cases

Fluidstack Use cases

AI 인프라
딥러닝
GPU 클라우드
H100
기계 학습
모델 학습
B200
클라우드 컴퓨팅
기업 AI
고성능 컴퓨팅
추론

Gmi Cloud Use cases

AI 인프라
딥러닝
GPU 클라우드
H100
기계 학습
모델 학습
H200
쿠버네티스
MLOps
모델 추론
NVIDIA GPU

Best suited roles

Fluidstack Best suited roles

검증된 데이터 없음

Gmi Cloud Best suited roles

데이터 분석가
프로덕트 매니저
영업 담당자
소프트웨어 개발자

Fluidstack vs Gmi Cloud:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Fluidstack vs Gmi Cloud comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Fluidstack is primarily listed under “기업 솔루션”, while Gmi Cloud is primarily listed under “MLOps”, 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: 기업 솔루션; Gmi Cloud: MLOps); Monthly visits (Fluidstack: 101.4K; Gmi Cloud: 90.5K); Monthly growth (Fluidstack: 0.4%; Gmi Cloud: 29.8%); Favorites (Fluidstack: 95; Gmi Cloud: 126); Website (Fluidstack: www.fluidstack.io; Gmi Cloud: www.gmicloud.ai). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Fluidstack vs Gmi Cloud monthly traffic comparison, Fluidstack currently shows 101.4K visits and Gmi Cloud shows 90.5K; Fluidstack has about 1.1 times the visible traffic of Gmi Cloud, an absolute difference of about 10.9K 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.

The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.

Product positioning, use cases, and roles

Fluidstack and Gmi Cloud currently overlap in shared categories: 클라우드 컴퓨팅; shared tags: AI 인프라, 딥러닝, GPU 클라우드, H100, 기계 학습 및 모델 학습. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Fluidstack's unique categories/tags are 기업 솔루션, 머신러닝, B200, 클라우드 컴퓨팅, 기업 AI, 고성능 컴퓨팅 및 추론; Gmi Cloud's are MLOps, GPU 클라우드, H200, 쿠버네티스, 모델 추론 및 NVIDIA GPU. 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, 95 favorites, and 92 likes;Gmi Cloud has no verified rating, 0 comments, 126 favorites, and 137 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 “기업 솔루션” and especially 기업 솔루션, 머신러닝, B200, 클라우드 컴퓨팅, 기업 AI 및 고성능 컴퓨팅. 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 Gmi Cloud first

Put Gmi Cloud on the priority trial list when the task aligns with “MLOps” and especially MLOps, GPU 클라우드, H200, 쿠버네티스, 모델 추론 및 NVIDIA GPU, or the users include 데이터 분석가, 프로덕트 매니저, 영업 담당자 및 소프트웨어 개발자. This follows recorded positioning and does not imply unlisted capabilities are absent.

Gmi Cloud also currently records: pricing is paid, product type is website, 90.5K 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 Gmi Cloud, 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.

비교 FAQ

How should I choose between Fluidstack and Gmi Cloud?
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.