Elastic compute gives you another option when workloads move faster than traditional infrastructure timelines.
Whether you have an AI search or web-data workload that needs regional capacity, an AI coding or agent evaluation workload that needs additional compute, or a workload moving enough data to require changes to the infrastructure behind it, you need to be able to add capacity without waiting for hardware planning, procurement, or long deployment cycles.
But true elasticity entails more than just having the ability to spin up another VM.
At production scale, elastic compute should:
- Provide capacity when you need it
- Keep costs predictable as traffic grows
- Flex with changing demand
- Maintain performance under sustained load
1. Provide capacity when you need it
Dedicated infrastructure still makes sense if your workloads are predictable and capacity can be planned well in advance.
But what if you suddenly need capacity for a new product launch? Are you ready to manage the space, power, hardware procurement, and networking yourself? Would you have the time and resources needed to coordinate across vendors and infrastructure before your workload is even ready to run?
Elastic compute gives you a way to respond without starting another hardware deployment cycle.
With Zenlayer Elastic Compute (ZEC), you get compute and networking through one global VPC, from one provider and one bill. Instances can be deployed through zenConsole, Terraform, CLI, or API, with up to 100 instances created in a single API call, so you can:
- Get a new workload running without waiting for dedicated hardware
- Add compute as an existing deployment grows
- Automate repeatable deployments via API or Terraform
- Create large numbers of instances without provisioning them individually
When you’re going to market, speed is everything. ZEC lets you get the compute you need when your workload is ready to launch.
This means you’ll be able to rapidly move a new AI workload from development to production, add capacity to an existing workload, or take on a new workload without committing to a dedicated deployment months in advance.
2. Keep costs predictable as traffic grows
AI applications increasingly combine compute with high-volume data movement.
AI search and web-data workloads move tons of information between regions. AI coding and agent evaluation workloads can generate significant traffic as execution environments run jobs and move data.
As those workloads scale, bandwidth and egress can eclipse compute pricing, making the cost of moving data just as important to consider as compute.
A ZEC instance with 2 vCPUs and 4 GB of memory starts at $30 per month, includes one public IPv4 address, and uses per-second billing with no upfront commitment. Taking Tokyo as an example, ZEC egress is less than $0.017/GB, compared with roughly $0.09/GB on AWS.
That’s about a 5x difference.
At low traffic volumes, that might not seem like a huge gap. At scale, however, it can add up to sizable difference on your total cost.
This is why just VM pricing isn’t a great predictor of your true costs as you scale. The infrastructure bill needs to make sense across both compute and the network carrying your workload.
ZEC gives you room to grow without turning every usage increase into a disproportionate rise in infrastructure costs.
3. Flex with changing demand
Production workloads almost never grow in a straight line.
A new product can take off in one market overnight. An AI search or web-data workload might need more regional capacity as data volumes grow. A development workload needs to create more environments as a project expands. An evaluation workload suddenly needs hundreds of instances for a short period and then scales back down.
Infrastructure planned months in advance is typically incapable of accounting for those unforeseen fluctuations.
With ZEC, instances can be spun up and down as needed and billed for the time they run. Depending on the instance family and region, NIC bandwidth can scale across 2, 4, 6, 10 Gbps, giving you room to tweak capacity on the fly based on your workload.
This is especially useful if your workloads won’t need the same amount of capacity all the time.
And as you expand into new markets, you won’t need to commit to a full deployment before you know how much traffic or compute your target regions actually need.
ZEC lets you start with the capacity you need, see how the workload develops, and add compute and bandwidth as requirements become clearer. Then when demand falls, you can quickly scale back instead of letting expensive infrastructure sit idle.
4. Maintain performance under sustained load
A deployment that looks fine at 10 instances is going to perform very differently once you start running a sustained production workload.
For AI search, web-data, coding, and agent evaluation workloads, that variance can affect everything from response times and data movement to execution speed and throughput of large-scale evaluation workloads.
Oversubscribed hosts, noisy neighbors, weak routing, and inconsistent network performance can all affect how a workload performs under sustained load. With ZEC, you get backend visibility into host-level CPU, memory, network throughput, and other performance metrics so you can identify issues in the underlying infrastructure before your users experience them.
It runs on our own 480+ Tbps private global backbone with compute available across 20+ countries and 25+ cities, connecting regions around the world so your compute scales on a network built to support the traffic and performance your workload actually needs.
It also carries a 99.975% monthly availability commitment, and on one measured route between Kuala Lumpur and Singapore, our private-backbone latency was approximately 5 ms.
And if any issues surface, ZEC also gives you access to a shared Slack channel with our support and engineering team at no extra cost, so you can work directly with the people troubleshooting the infrastructure behind your workload.
See what ZEC can do for your workload
Whether you’re planning a new AI workload, expanding into a new market, or looking for more flexibility as demand changes, we can help you find the right infrastructure solution to succeed.
Talk to a ZEC expert to discuss your workload and deployment requirements or start deploying compute today on zenConsole.
