GPU clusters for large
scale training & inference.

Enterprise-grade infrastructure for the most demanding AI teams.

Reserve now

From 8 to 10K+ GPUs.

We have a vast stock of large GPU Clusters ready for rapid training and seamless scaling.

Reserve for 30 days or longer.

Flexible term to suit your needs, so you can scale as you grow.

Fully managed k8s and slurm.

We manage your clusters at no extra cost, so you don't have to worry about complex infrastructure.

A team of experts by your side at no extra cost.

Our Engineers have deployed over 15,000 Nvidia H100 GPUs for LLM and AI Workloads.

  • Best-in-class support and SLAs.

    Always-on monitoring and proactive debugging to save your engineers valuable time.

    24/7 Support
    99.99% Uptime
    15 min response
  • We take care of everything.

    We deploy on fully managed kubernetes or slurm and hand you a pre-configured cluster that just works.

    Kubernetes
    Slurm
    Bare metal
    VMS
  • By your side at every step.

    Our team of ML engineers is always available to ensure you have everything you need, at no extra cost.

    15K+ GPUs managed
    MLOPS AS A SERVICE

State of the art clusters with the fastest compute.

Everything from data center design to rack density and network setup is meticulously crafted for maximum efficiency. Run your models across tens of thousands of GPUs with exceptional networking performance.

Exascale architecture

We can deploy up to 30,000 H100s SXM fully-interconnected with 3.2TBps InfiniBand NDR fabric.

Superior networking

All H100 Clusters are deployed with 3.2Tbps NDR InfiniBand, and full 1-1 non-blocking fat-tree topology supporting NVIDIA SHARP.

High performance storage.

We provide petabytes of custom high-performance fast-scratch storage accessible from all nodes with GPUDirect RDMA, with zero Ingress or Egress cost.

Loved by the best AI Labs.

Poolside

Poolside

“One of the most important aspects of running an AI company is access to Compute. Fluidstack has been a phenomenal partner to Poolside. Large scale clusters are difficult to operate, but they’ve been exceptional. Their dedicated support is excellent, and they are able to provide a great service on top of the hardware.”

Jason Warner

CEO at Poolside

"Maximizing GPU power is essential for accelerating the time to market for advanced machine learning products like ours. However, managing GPU costs is equally crucial. At FluidStack, we've discovered the perfect balance between performance and affordability."

Tigran Sargsyan

Director of Engineering at Krisp

"FluidStack's support was excellent - which became especially important when deploying clusters at scale. Having a dedicated team to manage our cluster meant our engineers could focus on their workloads, and not have to worry about physical infrastructure."

Ugur Arpaci

DevOps Engineer at Codeway

Train LLMs with fully non-blocking 3200 Gbps InfiniBand Clusters.

Instance

GPU/memory

RAM

vCPUs

Storage

Bandwidth

NVIDIA GB200 NVL72

72X NVIDIA GB200

GB200/192GB

17280 GB

2592

276TB NVME

28.8 TB/S RACK-RACK INFINIBAND

NVIDIA HGX B200

8X NVIDIA B200

B200/192GB

4096 GB

224

30TB NVME

3.2 TB/S NODE-NODE INFINIBAND

NVIDIA HGX H200

8X NVIDIA H200

H200/141GB

2048 GB

224

30TB NVME

3.2 TB/S NODE-NODE INFINIBAND

NVIDIA HGX H100

8X NVIDIA H100

H100/80GB

2048 GB

224

30TB NVME

3.2 TB/S NODE-NODE INFINIBAND

NVIDIA HGX A100

8X NVIDIA A100

A100/80GB

2048 GB

192

14TB NVME

1.6 TB/S NODE-NODE INFINIBAND

Accelerating
AI

to power the future of intelligence

FAQs

What are reserved clusters?

A reserved cluster is a high-end dedicated GPU Cluster you can reserve for 30 days or longer, with 24/7, 15 min support and fully managed Kubernetes or Slurm. If you want to know more about our enterprise offering, just get in touch or email sales@fluidstack.io

What GPUs are available?

We offer a wide range of the latest Nvidia GPUs, including A100s, H100s, and soon H200s and next generation Nvidia Blackwells. Just check our pricing page for our full availability.

Do you provide volume discounts?

Yes, we provide volume discounts for GPU clusters starting at 8+GPUs. Just get in touch by filling in this form or email sales@fluidstack.io

What is the largest cluster you've deployed?

We deployed clusters as large as 16,000 interconnected GPUs.

What is the fastest deployment you've ever made?

We deployed clusters in as little as 24h. We have a vast stock of available high-end clusters for rapid deployments.

Are you an Nvidia preferred partner?

FluidStack is an Nvidia preferred partner. We're also SOC2 and HIPAA compliant.

Reserve your cluster today.

Enterprise-grade infrastructure for the most demanding AI teams.