F

FluidStack

4.7
💬63
💲Paid

Fluidstack provides enterprise-grade GPU resources for AI model training and inference. With access to the latest NVIDIA GPUs like H100, A100, and GB200, it supports large-scale machine learning workloads using fully managed Kubernetes or Slurm environments. Users benefit from rapid deployment, high uptime, and expert support.

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Platform
web
A100AI CloudAI InferenceAI TrainingDeep LearningGB200GPU Cloud

What is FluidStack?

Fluidstack is an AI Cloud Platform designed for training and inference, offering instant access to thousands of NVIDIA GPUs. It enables enterprises to train foundation models and run large-scale inference workloads with fully managed Kubernetes or Slurm environments. The platform ensures high availability with a 99% uptime guarantee and responsive support.

Core Technologies

  • AI Cloud
  • GPU Cloud
  • NVIDIA GPUs
  • Kubernetes
  • Slurm
  • Machine Learning
  • Deep Learning

Key Capabilities

  • Access to NVIDIA GPUs for AI training
  • Managed infrastructure for scalable clusters
  • On-demand GPU instance deployment
  • High-availability cloud environment

Use Cases

  • Training large AI models
  • Running inference at scale
  • Deploying and managing GPU clusters
  • Accelerating machine learning product development

Core Benefits

  • Immediate access to powerful NVIDIA GPUs
  • Fully managed infrastructure reduces operational complexity
  • High availability with 99% uptime
  • Fast launch times for on-demand instances
  • Responsive 24/7 support

Key Features

  • Access to thousands of NVIDIA GPUs (H100, A100, H200, GB200)
  • Fully managed infrastructure with Slurm and Kubernetes
  • Large scale GPU clusters for training and inference
  • On-demand GPU instances
  • 24/7 support with 15-minute response times
  • 99% uptime guarantee

How to Use

  1. 1
    Reserve a large-scale GPU cluster for AI training
  2. 2
    Launch on-demand GPU instances in under 5 minutes
  3. 3
    Use fully managed Kubernetes or Slurm environments
  4. 4
    Contact engineers for technical support

Frequently Asked Questions

Q.What GPUs are available on Fluidstack?

A.Fluidstack offers a wide range of NVIDIA GPUs, including H100, A100, H200, and GB200.

Q.What infrastructure management options are available?

A.Fluidstack provides fully managed infrastructure with Kubernetes and Slurm.

Q.What is the uptime guarantee?

A.Fluidstack guarantees 99% uptime.

Q.What kind of support do you offer?

A.Fluidstack offers 24/7 support with a 15-minute response time.

Q.How quickly can I launch GPU instances?

A.You can launch on-demand GPU instances in under 5 minutes.

Pros & Cons (Reserved)

✓ Pros

  • Immediate access to a wide range of NVIDIA GPUs
  • Fully managed infrastructure reduces operational overhead
  • High availability and responsive support
  • Scalable GPU clusters for large-scale AI workloads
  • Potential cost savings compared to hyperscalers

✗ Cons

  • Pricing for H200 on-demand instances requires a request
  • Reserved clusters require a minimum term of 30 days
  • On-demand GPU instances are limited to 100+ GPUs

Alternatives

No alternatives found.