GPU clusters for large
scale training & inference.
Enterprise-grade infrastructure for the most demanding AI teams.
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 10,000 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.
We take care of everything.
We deploy on fully managed kubernetes or slurm and hand you a pre-configured 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 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.
“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
Reserve your cluster today.
Enterprise-grade infrastructure for the most demanding AI teams.
