🚨 Hyperscalers are running low on GPUs
At @LambdaAPI — we have 2 simple solutions:
1. Our cloud has thousands of available GPUs from A100 to A10 and soon H100 ☁️
2. We can build you the exact ‘cloud’ configuration you want in our datacenter with an OpEx model payment plan 💰
I don’t know who needs to hear this but the demand for enterprise-grade GPU clusters is insane right now. We have a single 8k B200 cluster left for all of 2025. Already taking GB300 orders for 2026 (50k+ available).
I have 248 H100 SXM5s networked with 3200 Gbps Infiniband just sitting in front of me. Ready to go.
Who wants to do something out of this world cool? Let’s train your foundation model or LLM.
DMs open.
Yes, it’s true.
If you’re just discovering Lambda, all we do is build large scale GPU clusters for ML in the cloud: lambdalabs.com/service/gpu-cl…
For this specific initiative — we’re looking to partner with a deep learning team training a large foundation model.
Whether you’re an
Announced today ✅
Launched today ✅
NVIDIA GH200 on Lambda Cloud starting at $5.99/hour for *576GB of total addressable VRAM*
Compared to H100 on Lambda Cloud, a comparable amount of VRAM (80GB x 8 H100s = 640GB) costs $20.72/hour