Lambda β GPU Cloud Provider
Lambda
AI-native cloud provider building supercomputers and gigawatt-scale AI factories for frontier labs.
Headquarters
πΊπΈSan Jose, USA
Founded
2012
Founders
Stephen Balaban, Michael Balaban
Pricing
$$$$
GPU Availability
Low
Available Regions
π¨π¦ US, San Jose, Ca +1 more
Compliance
SOC 2 Type II, CCPA
Highlights
Broad GPU SelectionMultiple GPU architectures and configurations available
Early GPU AccessOften among the first to offer brand new GPU architectures
Reliable GPU AvailabilityStrong on-demand availability for popular GPU types
Wide Geographic FootprintData centers in regions across multiple continents
Enterprise SLAFormal uptime and performance SLAs offered
NVIDIA Cloud PartnerOfficial member of the NVIDIA Cloud Partner (NCP) network
Sustainable Data CentersOperates data centers with low-carbon or renewable energy policies
Features
Bare-Metal GPU InstancesDedicated 8x GPU servers without virtualization overhead
Virtual Machine GPU InstancesVirtualized GPU instances available in partitioned sizes (1x, 2x, 4x, 8x)
Persistent Storage VolumesPersistent storage volumes that can be attached to GPU instances
On-Demand GPU ClustersProvision interconnected multi-GPU clusters on-demand
Rapid GPU ProvisioningGPU instances become ready quickly when they are deployed
High Ingress and Egress BandwidthFast network speeds for moving large datasets in and out of GPU instances
Long Term Commitment Pricing OptionsDiscounted pricing available for commitments over 1 year.
Flexible Commitment Pricing OptionsDiscounted pricing available for commitments as short as 1 month.
Explore GPUs from Lambda
Browse available GPU instances from Lambda. Filter by GPU type, availability, and more to find the perfect instance for your needs.
About Lambda
Lambda is an AI infrastructure company founded in 2012 in San Francisco. The company provides on-demand GPU cloud instances, dedicated clusters, and large-scale AI factories for training and inference workloads. Lambda offers a wide range of NVIDIA GPUs with high-bandwidth interconnects and liquid cooling infrastructure. The company is a seven-time NVIDIA Partner of the Year and has raised over 1.5 billion dollars in funding.
Pricing Analysis
| GPU configuration | Lambda pricing | Average pricing |
|---|---|---|
| A10 x1 GPU | $1.29 /hr | $1.29 /hr |
| A100 x1 GPU | $1.99 /hr | $1.90 /hr |
| A100 x2 GPUs | $3.98 /hr | $4.38 /hr |
| A100 x4 GPUs | $7.69 /hr | $8.64 /hr |
| A100 x8 GPUs | $15.92 /hr | $14.90 /hr |
| A100_80G x8 GPUs | $22.32 /hr | $15.03 /hr |
| A6000 x1 GPU | $1.09 /hr | $0.85 /hr |
| A6000 x2 GPUs | $2.18 /hr | $1.64 /hr |
| A6000 x4 GPUs | $4.36 /hr | $3.28 /hr |
| B200 x1 GPU | $6.99 /hr | $6.15 /hr |
| B200 x2 GPUs | $13.78 /hr | $12.19 /hr |
| B200 x4 GPUs | $27.16 /hr | $23.77 /hr |
| B200 x8 GPUs | $53.52 /hr | $40.08 /hr |
| CPU x0 GPUs | $0.20 /hr | $0.63 /hr |
| GH200 x1 GPU | $2.29 /hr | $3.26 /hr |
| H100 x1 GPU | $4.29 /hr | $3.05 /hr |
| H100 x2 GPUs | $8.38 /hr | $5.61 /hr |
| H100 x4 GPUs | $16.36 /hr | $10.46 /hr |
| H100 x8 GPUs | $31.92 /hr | $19.73 /hr |
| RTX6000 x1 GPU | $0.69 /hr | $0.69 /hr |
| V100 x8 GPUs | $6.32 /hr | $4.72 /hr |
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