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FluidStack

1
5.0
(0 Reviews)
United States80.13%

Fluidstack is the ultimate AI cloud platform, offering instant access to thousands of NVIDIA GPUs, fully managed infrastructure, and cost-effective solutions for training and inference at scale.

Added on: 2025.03.01 · Updated on: 2025.03.01
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FluidStack

FluidStack Product Information

What is FluidStack?

Fluidstack is a leading AI cloud platform designed to make training and running AI models easier and more efficient. With instant access to thousands of NVIDIA GPUs, including the latest H100s and A100s, Fluidstack is the go-to solution for companies looking to scale their AI operations. Whether you're training foundation models or running large-scale inference, Fluidstack has you covered.

What are the features of FluidStack?

  • Massive GPU Access: Instantly access thousands of NVIDIA GPUs, including H100s, A100s, and H200s.
  • Fully Managed Infrastructure: We handle the setup and management of your cluster, so you can focus on building models.
  • Scalable Solutions: Deploy clusters with up to 10,000+ GPUs in just two days.
  • High-Speed Networking: Enjoy 3.2T InfiniBand and 1PB+ of shared storage for seamless operations.
  • 24/7 Support: Get help with 15-minute response times and 99% uptime guarantees.

What are the use cases of FluidStack?

  • AI Training: Train large foundation models with ease using massive GPU clusters.
  • Inference at Scale: Run inference on large datasets without worrying about infrastructure.
  • Cost Efficiency: Save up to 70% compared to hyperscalers like AWS or Google Cloud.

How to use FluidStack?

  • Reserve a Cluster: Contact Fluidstack to reserve a large-scale GPU cluster tailored to your needs.
  • On-Demand GPUs: Launch GPU instances in under 5 minutes and scale up to 100s of GPUs as needed.
  • Managed Services: Let Fluidstack handle the infrastructure while you focus on your AI projects.

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FluidStack Related Other Categories

FluidStack Traffic Analysis

💡 Insights

Medium Scale
100K-1M monthly visits. Growing tool with active development.
➡️
Stable
Traffic remains stable, indicating a mature product.
👍
Good Experience
Bounce rate of 39%. Users are willing to explore features.
🌍
United States Dominant
80% users from United States. Optimized for this market.
  • Monthly Visits

    101.41K

  • Bounce Rate

    39.33%

  • Pages Per Visit

    2.58

  • Visit Duration

    00:01:06

  • Global Rank

    366433

  • Country Rank

    103958

Visits Over Time

Traffic Sources

SearchOrganic34.64%
SocialOrganic31.53%
Direct25.60%
Referrals5.40%
Mail1.88%
GenAi0.94%
SearchPaid0.00%
SocialPaid0.00%
Affiliate0.00%

Top Keywords

1
fluidstack
CPC$4.65
18.99KTraffic
2
fluidstack careers
CPC$3.31
1.79KTraffic
3
fluid stack
CPC$5.80
1.27KTraffic
4
fluidstack jobs
390Traffic
5
fluidstack technical program manager, deployments
210Traffic

Top Regions

RegionPercentage
United States
United States
80.13%
United Kingdom
United Kingdom
6.42%
India
India
2.15%
Canada
Canada
1.61%
Vietnam
Vietnam
1.48%
Low
High

FluidStack FAQ

How quickly can I access GPUs on Fluidstack?

What kind of support does Fluidstack offer?

Can I save money using Fluidstack compared to other cloud providers?

FluidStack Reviews

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FluidStack Pricing

Nvidia H200

Model with 141GB VRAM, 48 Max vCPUs per GPU, 256GB Max RAM per GPU
On request

    Nvidia H100 SXM

    Model with 80GB VRAM, 48 Max vCPUs per GPU, 256GB Max RAM per GPU
    $3.19/hr

      Nvidia H100 PCIe

      Model with 80GB VRAM, 48 Max vCPUs per GPU, 256GB Max RAM per GPU
      $2.89/hr

        Nvidia A100 80GB PCIe

        Model with 80GB VRAM, 32 Max vCPUs per GPU, 128GB Max RAM per GPU
        $1.80/hr

          Nvidia L40S

          Model with 48GB VRAM, 24 Max vCPUs per GPU, 64GB Max RAM per GPU
          $1.30/hr

            Reserved GPU Clusters

            Starting at $1.94/hr for 12+ month commitments of large, InfiniBand connected H100 clusters
            $1.94/hr
            • 24/7 MLOps support
            • 15-minute response time
            • Advanced monitoring
            • Automated remediation
            • Fully managed K8s or Slurm

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