Opening up options: higher-end GPUs in smaller chunks
We're excited to announce the launch of new 1x, 2x, and 4x NVIDIA H100 SXM Tensor Core GPU instances in our Public Cloud. These instances bring new options for AI Developers seeking to leverage the performance of SXM GPUs, and provision the right-sized GPU acceleration for their workloads.
49% to 51% performance gains
The new 1x, 2x and 4x instances are based on NVIDIA H100 SXM Tensor Core GPUs, which offer 67.5% faster memory bandwidth and up to 2 times higher power draw over the PCIe version.
Looking at a geomean of results from pytorch-train-throughput-fp16 and pytorch-train-throughput-TF32, we observe a 49% to 51% performance premium for the NVIDIA H100 SXM Tensor Core GPU, over the PCIe version.
Geomean is calculated on ssd, bert_base_squad, bert_large_squad, gnmt, resnet50, tacotron2 and waveglow scores. You can view individual benchmarks at https://lambdalabs.com/gpu-benchmarks.
Note that Ethernet is used for the 2x and 4x instances. If you are looking for NVIDIA Quantum-2 InfiniBand networking, then 1-Click Clusters are the way to go.
More affordable options
The introduction of the new 1x, 2x and 4x NVIDIA H100 SXM Tensor Core GPU instances creates a solid set of options for AI Developers, to find the right compute at the right price for their workloads.
Get started & win 6 months of free compute!
The new instances arrive right on time to support your bid for Lambda’s Golden Ticket: a chance for you and your team to win full-time access, for six months, to a 96GB VRAM NVIDIA GPU instance – absolutely free!
Jump in fast - the Golden Ticket is only in October! Learn more.
The new instances are available immediately and on-demand, in Lambda’s Public Cloud. Sign-up and get started with your workflows in minutes or sign-in to your existing account.
Planning to use 64+ GPUs (monthly average) and want to apply for a volume-based discount?
Contact our Sales team.
