Cloud Load Balancer

High-performance Load Management

Scale your business with guaranteed bandwidth, unlimited transfer and backend servers to dynamically balance your application’s load across multiple nodes in real-time.

Kubernetes Interface

Cloud Affinity

Quick Deployment

IP Address Filtering

Cloud Load Balancer

Increase The Reliability of Your Apps And Decrease Downtime

Powerful compute acceleration for mainstream enterprise servers

Load Balancer

  • ACE network load balancer can reduce server disturbance by automatically dispersing the load over several servers.
  • With our services, you can increase the redundancy of your cloud apps and prevent single points of failure by adding an extra layer.
  • We help you to increase application availability by ensuring that the health of a single server has no influence on the overall condition of your service.
Load Balancer

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Safeguard Your IT Infrastructure Against Outages

Witness the unparalleled performance of cloud A30 GPU

Proxy Protocol

Incorporate Proxy protocol to maintain the sender's original address and execute critical tasks on the nodes such as producing statistics and analyzing logs.

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HTTP(S) Load Handler

We help to distribute HTTP and HTTPS traffic across several backend instances and locations as your whole program is accessible through a single global IP address, thereby simplifying DNS configuration.

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TCP/SSL Traffic Controller

We help to distribute TCP traffic over a pool of instances inside a compute engine area and send traffic to healthy instances only.

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Advanced Support

We provide advanced support features such as IPv6 global load balancing, webSockets, user-defined request headers, and protocol forwarding for private VIPs.

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Increase The Availability Of Your Application With Network Load Balancer

Extremely controlled, Extensively managed

Manage varying traffic loads on your application at an effective cost

Load Balancer

Location Name Price Per Hour ($) Price Per Month ($)

Use Cases

Optimize application development process without the hassle of managing clusters

Knowledge Centre

How-to-find The Best GPU For...

How To Find The Best GPU For Deep Learning?

In deep learning, GPUs have been gaining massive popularity, and for data scientists struggling to carry out HPC codes, this processor is a known term. Going back to the history of GPU development, the combination of CPU and GPU led to the formation of GPGPU, which is the General-Purpose Graphics Processing Unit.

why-gpu-for-deep-learning

Why GPUs for Deep Learning? A Complete Explanation

The advent of AI has led to a paradigm shift in the industry. Deep learning, a technique that helps machines learn from large data sets, has provided a powerful reality-altering tool for businesses.

NVIDIA-gears

NVIDIA A30: The Workhorse of AI and HPC in the Data Center

Since their inception, GPUs have been the most powerful computing engines for accelerating compute workloads that drive innovations in business and science. The demand for GPU processing power is growing year on year with an expected CAGR of 33.6% by 2027, as per reports published by Allied Market Research.

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Frequently Asked Questions (FAQs)

Resources to help drive your business forward faster

A cloud network load balancer is a type of load balancing service in cloud computing that distributes network traffic across multiple computing resources, such as virtual machines, containers, and IP addresses, to improve application availability and performance.

A cloud network load balancer works by directing incoming network traffic to multiple targets, distributing workloads among servers and optimizing performance. It uses algorithms such as round-robin, least connections and IP Hash to make intelligent routing decisions.

Using a cloud network load balancer ensures high availability and scalability of your applications, helps to improve the reliability of websites and services, and provides consistent performance by distributing network traffic across multiple computing resources.

A cloud network load balancer improves application performance by directing incoming network traffic to the best-performing resource, ensuring that no single resource is overburdened. This helps to minimize downtime and improve the overall user experience.

A cloud network load balancer can handle various types of network traffic, such as HTTP, HTTPS, TCP, and UDP, and can be used to support a wide range of applications, including web applications, e-commerce sites, and gaming applications.

Yes, you can use Access Control List (ACLs) to limit the use of a TCP port or HTTP URL.

Yes, each instance is given an IPv6 address via a public network interface.

No, that isn’t necessary. Backend servers can use private IP addresses.

You may assign and delete instances from a specific load balancer through the ACE dashboard.

Ace load balancers support TCP, HTTP, and HTTPS protocols.

Yes, with an external IP address, you can use a load balancer in one area with instances in another, however, it is not recommended to host them in different locations.

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