64 nodes B200 | USA | Available Apr 15
Unrivaled throughput for Foundation Model Training, Fine-Tuning, and Massive-Scale Inference. B200 inventory is available for long-term lease or hardware purchase.
↳ Your business needs GPU capacity. We connect you with the world’s best GPUaaS providers through our five-point GPU promise.
↳ Your business needs GPU capacity. We connect you with the world’s best GPUaaS providers through our five-point GPU promise.
↳ Your business needs GPU capacity. We connect you with the world’s best GPUaaS providers through our five-point GPU promise.
We source GPU from a network of wholesale GPU cloud providers. You can get low-latency sovereign infrastructure almost anywhere. Just tell which GPU locations and compliances you need.
The GPU ecosystem is being kept complex for a reason - every marketplace and broker adds their % to the cost. Skip their premiums: we bring you direct to wholesale providers and cut out unnecessary fees.
Total GPUs: 64 × NVIDIA B200
Servers: water-cooled Supermicro GPU servers
Host CPUs: AMD Genoa (EPYC series)
Storage Tier: ~6PB NVMe
Storage Servers: Supermicro AS-1115HS-TNRAMD EPYC 9454 (Genoa)2×200G NVIDIA ConnectX-7 NIC
Storage Network:Arista 7060X5 switches
Backend Network (Training – 32 nodes):Celestica DS5000 switches
800GB Ethernet fabric
RDMA over Converged Ethernet (ROCE)
Frontend Network: 200GB connectivity via BlueField-3 DPUs
NIC Configuration:Training servers:8× NVIDIA ConnectX-7 (200GB)
BlueField-3 DPU (dual-port 200GB)
Inference servers (96):BlueField-3 DPU (dual-port 200G)
Management Network: Dedicated 1G port on all nodes
Kubernetes Management Nodes (3): Supermicro AS-2125HS-TNR (2U) AMD EPYC 9384X (Genoa) 64GB DDR5
RAM2×100G Broadcom BRCM57508 NIC
Orchestration: Dedicated Kubernetes cluster
Separate control + data plane
Gateway & Security: Isolated network segmentation
Load balancing + firewall layer
We connect you with vetted GPU infrastructure providers: wholesale operators with a wide range of GPUs available now.
Our network of GPUaaS providers is global. You can get low-latency sovereign GPU infrastructure almost)anywhere. If specific locations or certifications are important to you, just tell when you ask for a quote.
Why pay mark-up on GPU resources? We connect you to wholesale GPU service providers, and elastic GPU resources that cost up to 30% less than hyperscale. Avoid unnecessary fees. Get better terms and SLAs too.
Rent short-term or long-term GPU for your projects. You don't have to lock in to a multi-year contract. Choose PAYG or a commitment term for optimal pricing: it’s up to you.
Reserved pricing: $4.20/GPU/hr
10% upfront to secure allocation. If you’re planning large training runs or scaling inference in Q2 — this is a good window to lock capacity.
Start simple – how many GPUs or nodes and what type – then add as much detail as you like. Inference or training. Model architecture. Precision. Virtualization type. Budgets and timelines.
We do the legwork, and find providers with capacity that fits your need. Our network includes:
When we’ve found the perfect partner for your project, you’ll get quotations for the GPU you need, usually within a few hours.
We’ll smooth your ride through the provisioning process, and you can get on with your project.
Rent high-performance NVIDIA GPU clusters for ML, GenAI, rendering, simulation and development. Get DGX-class infrastructure at market-leading rates.
Gold standard HGX clusters for large scale training, tuning, inference
Ultra-efficient Blackwell clusters for mid-scale AI, visualization, ML
The industry standard for AI training and inference at scale
Got more questions?
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GPUaaS.com connects enterprises with vetted GPU providers for large-scale compute at up to 30% lower cost than hyperscalers.
