GPU clusters for large
scale training & inference
Enterprise-grade infrastructure for the most demanding AI teams
From 8 to 10K+ GPUs.
We have thousands of GPU clusters available for training workloads and scalable inference.
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 so you can focus on your workload while we ensure the infrastructure remains performant and available.
Operated by our experts
Our team has deployed over 10,000 Nvidia H100s for top AI labs, enterprises, and governments.
Best-in-class support and SLAs.
Always-on monitoring and automated remediation save your researchers and engineers valuable time.
Fully managed by our team.
We deploy on fully managed K8s or SLURM and provide you with a cluster that just works.
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.
State of the art clusters with the latest compute.
We've optimized everything from power procurement and data center design to network configuration and compute orchestration. Run your models across tens of thousands of GPUs with exceptional performance and reliability.
Compute at scale
We can deploy clusters of up to 30,000 H200s in a contiguous fabric to enable industry leading scale.
Superior networking
All H100/H200 clusters are deployed with non-blocking fat-tree 3.2Tbps InfiniBand supporting NVIDIA SHARP.
High performance storage
We provide petabytes of high-performance file storage from leading vendors to ensure your workloads are never blocked on data loading. We never charge for ingress or egress.
Trusted by top AI companies
“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.”
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."
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."
DevOps Engineer at Codeway
Train LLMs on clusters with the latest GPUs
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
Reserve your cluster today.
Enterprise-grade infrastructure for the most demanding AI companies.
