Private large-scale GPU clusters
Annual contracts for thousands of NVIDIA H100, H200 & B200 Tensor Core GPUs
Only the highest performance GPUs
Lambda Private Cloud leverages only the latest and greatest infrastructure, built for the next generation of LLMs and other large-scale models.
NVIDIA H100 SXM
The NVIDIA H100 Tensor Core GPU has 80GB of HBM3 memory at 3.35TB/s, deployed in HGX 8-GPU nodes with NVLink and NVSwitch interconnects, 4th Gen Intel Xeon processors, Transformer Engine with FP8 precision, and second-generation Multi-Instance GPU technology. Learn more.
NVIDIA H200 SXM
The NVIDIA H200 Tensor Core GPU is the first GPU to offer HBM3e — faster, larger memory to fuel the acceleration of generative AI and LLMs. With HBM3e, H200 delivers 141GB of memory at 4.8TB/s, nearly double the capacity of, and 1.4X more bandwidth than, the NVIDIA H100. Learn more.
NVIDIA B200 SXM
The NVIDIA B200 Tensor Core GPU is based on the latest Blackwell architecture with 180GB of HBM3e memory at 8TB/s and provides the best training and inference platform for large models with upgrades to GPU performance, memory capacity, memory bandwidth, and NVLink bandwidth. Learn more.
GPUs, storage & networking designed for AI workloads
INSTANCE TYPE | GPU | GPU MEMORY | vCPUs | STORAGE | NETWORK BANDWIDTH | |
---|---|---|---|---|---|---|
NVIDIA H100 | 8x NVIDIA H100 | H100 SXM | 80 GB | 224 | 30 TB local per 8x H100 | 3200 Gbps per 8x H100 |
NVIDIA H200 | 8x NVIDIA H200 | H200 SXM | 141 GB | 224 | 30 TB local per 8x H200 | 3200 Gbps per 8x H200 |
NVIDIA GH200 | 1x NVIDIA GH200 | GH200 Superchip | 96 GB | 72 | 30 TB local per GH200 | 400 Gbps per GH200 |
NVIDIA B200 | 8x NVIDIA B200 | B200 SXM | 180 GB | 224 | 60 TB local per 8x B200 | 3200 Gbps per 8x B200 |
Finally, cloud computing designed for large scale model training and inference
Lambda Private Cloud is designed for machine learning engineers who need the highest-performance NVIDIA GPUs, networking, and storage for large scale distributed training. Our clusters use a non-blocking NVIDIA Quantum-2 InfiniBand compute network which allows your ML team to spin up one large model across thousands of GPUs with no disruption in networking speed.
Thousands of the most powerful GPUs
Train large-scale models across thousands of NVIDIA H100s, NVIDIA H200s, NVIDIA GH200s, or NVIDIA B200s, with no delays or bottlenecks. Access the latest infrastructure, built for your most demanding AI projects.
Absolute fastest GPU compute fabric
Each GPU is paired 1:1 with a dedicated 400 Gbps link to the Lambda Private Cloud compute fabric. The optimal networking topology for GPU computing scaling to multi-Petabit per second throughput.
Non-blocking InfiniBand networking
The absolute fastest network available delivering full bandwidth to all GPUs in the cluster simultaneously. Leveraging NVIDIA Quantum-2 InfiniBand with support for GPUDirect RDMA and optimized for massive scale full-cluster distributed training.
![lambda-tweets-updated-v3 lambda-tweets-updated-v3](https://lambdalabs.com/hubfs/lambda-tweets-updated-v3.png)
Trusted by world-renowned AI engineers
Lambda's Cloud is used by industry pioneers who have shaped modern deep learning and continue to push what's possible in computer vision, natural language and robotics.
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NVIDIA GH200 Grace Hopper Superchip
NVIDIA Grace CPU with Hopper GPU
72-core ARM CPU with H100 96GB GPU. Single module with NVLink-C2C interconnect that delivers 900 GB/s of bidirectional bandwidth between the Grace CPU and Hopper GPU.
Higher Performance and Faster Memory
Higher bandwidth system and GPU memory. 7x faster CPU to GPU transfers over NVLink.
NVIDIA H100
NVIDIA H200
NVIDIA GH200
![setup](https://lambdalabs.com/hubfs/2.%20Images/Images%20-%20Site%20Pages/Images%20-%20Colocation%20Page/setup.png)
The fastest network for distributed training of LLMs, foundation models & generative AI
Train large foundation models and LLMs with the fastest networking available in any cloud. Our NVIDIA Quantum-2 InfiniBand networking provides 3200 Gbps of bandwidth for each HGX H100, H200, or B200 node.
This design is purpose-built for NVIDIA GPUDirect RDMA with maximum inter-node bandwidth and minimum latency across the entire cluster.
The Lambda compute network uses a non-blocking multi-layer topology with zero oversubscription. This provides full networking bandwidth to every NVIDIA GPU in the cluster simultaneously, the optimal design for full-cluster distributed training.
![GPUDirect_RDMA_Graphic](https://lambdalabs.com/hubfs/2.%20Images/Images%20-%20Site%20Pages/Images%20-%20GPU%20Cloud%20Res%20Page/GPUDirect_RDMA_Graphic.png)
Skip the CPU and take advantage of GPUDirect RDMA for the fastest distributed training
A direct communication path between NVIDIA GPUs across all nodes in your cluster using NVIDIA Quantum-2 InfiniBand.
GPUDirect RDMA provides a significant decrease in GPU-GPU communication latency and completely offloads the CPU, removing it from all GPU-GPU communications across the network.
Pre-configured for machine learning
Start training your models immediately with pre-configured software, shared storage, and networking for deep learning. All you have to do is choose your NVIDIA GPU nodes and CPU nodes.
Lambda Premium Support for Lambda Private Cloud includes PyTorch, TensorFlow, NVIDIA CUDA, NVIDIA cudNN, Keras and Jupyter. Kubernetes is not included.
Lambda is proud to be an NVIDIA Elite Cloud Solutions Provider
Lambda has been awarded NVIDIA's 2024 Americas AI Excellence Partner of the Year, marking our fourth consecutive year as an NVIDIA Partner Of The Year.
![nvidia-elite-partner-logo nvidia-elite-partner-logo](https://lambdalabs.com/hs-fs/hubfs/nvidia-elite-partner-logo.png?width=200&height=93&name=nvidia-elite-partner-logo.png)
“Leading enterprises recognize the incredible capabilities of AI and are building it into their operations to transform customer service, sales, operations, and many other key functions. Lambda’s deep expertise, combined with cutting-edge NVIDIA technology, is helping customers create flexible, scalable AI deployments on premises, in the cloud, or at a colocation data center.”
Introducing 1-Click Clusters
On-demand GPU clusters featuring NVIDIA H100 Tensor Core GPUs with Quantum-2 InfiniBand. No long-term contract required. Self-serve directly from the Lambda Cloud dashboard.
![1cc_loop_short (1) 1cc_loop_short (1)](https://lambdalabs.com/hubfs/1cc_loop_short%20(1).gif)