Compute Engine
Secure and customizable compute service that lets you create and run virtual machines on Google’s infrastructure.
New customers get $300 in free credits to spend on Google Cloud. All customers get a general purpose machine (e2-micro instance) per month for free, not charged against your credits.
Predefined machine types: Start running quickly with pre-built and ready-to-go configurations.
Custom machine types: Create VMs with optimal amounts of vCPU and memory, while balancing cost.
Spot machines: Reduce computing costs by up to 91%.
Confidential computing: Encrypt your most sensitive data while it’s being processed.
Rightsizing recommendations: Optimize resource utilization with automatic recommendations.
Key features
Choosing the right virtual machine type
Scale out workloads (T2A, T2D)
Tau VMs are the lowest cost solution for scale-out workloads on Compute Engine, with up to 42% higher price-performance compared to general-purpose VMs of any of the leading public cloud vendors. Choose from x86 or Arm-based VMs to meet your workload and business requirements.
General purpose workloads (C3, E2, N2, N2D, N1)
Ultra-high memory (M2, M1)
Memory-optimized machines offer the highest memory configurations with up to 12 TB for a single instance. They are well suited to memory-intensive workloads such as large in-memory databases like SAP HANA, and in-memory data analytics workloads.
Compute-intensive workloads (C2, C2D)
Compute-optimized machines provide the highest performance per core on Compute Engine and are optimized for workloads such as high performance computing (HPC), game servers, and latency-sensitive API serving.
H3 offers up to 3x improvement in per-node performance, improved scalability for multi-node workloads, and up to 2x better price performance, compared to the prior generation C2 instances.
Most demanding applications and workloads (A2)
Accelerator-optimized machines are based on the NVIDIA Ampere A100 Tensor Core GPU. Each A100 GPU offers up to 20x the compute performance compared to the previous generation GPU. These VMs are designed for your most demanding workloads such as machine learning and high performance computing.
Customers
