IP ServerOne is a Malaysian-managed cloud provider that has been operating since 2003, making it one of the most established names in the APAC hosting space. It is not trying to be the cheapest option on the market. What it is offering is a fully certified, multi-product cloud platform built around data sovereignty, security compliance, and consistent infrastructure quality across Malaysia, Singapore, and Hong Kong.
I provisioned three live instances, including two NovaCloud VPS servers and a NovaGPU RTX 3090 instance, ran a full benchmark suite on each, tested ticket support with a genuine technical question, and explored the portal and knowledge base in depth. Here is the complete picture.
Want to see the platform in action? Check out our full video walkthrough covering the dashboard interface, server setup, and live benchmarks.
To evaluate IP ServerOne, I applied our hosting review methodology, a structured framework we use across all hosting reviews to ensure scores are consistent, fair, and grounded in real hands-on testing.
Here is how IP ServerOne scored across every key parameter.
| Parameter | Score | Why This Score |
|---|---|---|
| Prices | 9.0/10 | Transparent pay-per-use billing with no setup fees, meaningful annual discounts, and pricing that holds up well against global cloud providers. The MYR denomination may add friction for international customers. |
| Features | 9.2/10 | An exceptional feature set for a regional provider. ISO 27001, ISO 27017, PCI-DSS, and SOC 2 Type II certifications, tiered automatic backups, DDoS protection, GPU-as-a-Service, multiple private cloud platforms, and a full data protection suite all in one place. |
| Performance | 9.0/10 | Consistent AMD EPYC CPU scaling across all three servers, strong memory throughput, and solid sequential disk I/O. The NovaGPU delivered over 1 Gbps, which is exceptional. |
| Ease of Use | 9.0/10 | Registration is fast and friction-free. The dashboard is logically organized and the portal does not overwhelm new users. Minor friction comes from the mandatory mobile verification step during onboarding. |
| Support | 8.6/10 | An 8-minute acknowledgment and a follow-up clarifying question from a named System Engineer. The knowledge base is well organized and kept current with the product lineup. |
| Overall | 9.0/10 | A well-rounded, enterprise-grade provider that delivers on its core promises of security, consistency, and technical depth. Best suited for Malaysian and APAC businesses that need data sovereignty and strong compliance credentials. |
IP ServerOne covers a wide range of hosting needs across a single platform. The main products you can order include:
See the full breakdown of current NovaCloud and NovaGPU plans, including hourly and monthly rates across all available instance types and regions.
| Plan Name | Space | CPU | RAM | Bandwidth | OS | Price | |
|---|---|---|---|---|---|---|---|
| NovaCloud General Opt-C1 | 10 GB | 1 core | 3.7 GB | 1 TB | £1.87 | Details | |
| NovaCloud General Opt-C2 | 10 GB | 2 cores | 7.3 GB | 1 TB | £3.41 | Details | |
| NovaCloud General Opt-C4 | 10 GB | 4 cores | 14.6 GB | 1 TB | £6.83 | Details | |
| NovaCloud General Opt-C8 | 10 GB | 8 cores | 29.3 GB | 1 TB | £13.66 | Details | |
| NovaCloud General Opt-C16 | 10 GB | 16 cores | 58.6 GB | 1 TB | £27.31 | Details | |
| NovaCloud RAM Optimized - C2 | 10 GB | 2 cores | 29.3 GB | 1 TB | £39.60 | Details | |
| NovaCloud General Opt-C32 | 10 GB | 32 cores | 117.19 GB | 1 TB | £54.62 | Details | |
| NovaCloud RAM Optimized - C4 | 10 GB | 4 cores | 58.6 GB | 1 TB | £77.84 | Details | |
| NovaCloud RAM Optimized - C8 | 10 GB | 8 cores | 117.19 GB | 1 TB | £155.67 | Details | |
| NovaCloud RAM Optimized - C12 | 10 GB | 12 cores | 234.4 GB | 1 TB | £297.69 | Details |
A few things worth knowing before you order:
IP ServerOne does not offer a standard money-back guarantee. Their terms state a non-refund policy, meaning any refund request is assessed case by case and granted solely at their discretion.
If you are evaluating them for a critical workload, I would recommend starting with their pay-per-use billing on NovaCloud rather than committing to a longer subscription upfront.
To put IP ServerOne’s infrastructure to the test, I ran a full benchmark suite across four live instances spanning two product lines, three regions, and both Linux and Windows deployments.
It’s worth being clear about what I tested and why, because the four servers are not identical setups.
What I tested:
I provisioned three NovaCloud instances and one NovaGPU instance. The NovaCloud tests cover everyday cloud VPS performance across Linux and Windows.
The NovaGPU test shows how the underlying infrastructure holds up on the host machines that power their AI and ML workloads.
Here is the full configuration of each:
NovaCloud Malaysia (primary Linux benchmark)
NovaCloud Singapore (regional comparison)
NovaCloud Hong Kong (Windows deployment)
NovaGPU Malaysia (GPU infrastructure test)
One thing to keep in mind as you read through the results: the Singapore instance is a RAM Optimized plan with 2 vCPUs rather than the 4-core general-purpose plan I used in Malaysia.
I chose this deliberately to show how the platform performs across different plan types, not just different regions. The Hong Kong Windows instance runs 8 cores with a different benchmark toolset since winsat replaces sysbench on Windows. Where these differences affect comparability, I will call that out clearly.
I ran the sysbench CPU benchmark at two levels: single-thread to measure raw per-core throughput, and multi-thread to see how well the allocated cores scale under load. The prime number limit was set to 20,000 throughout.
Single-thread results across all three servers:
The first thing that jumps out is how remarkably consistent these numbers are across three separate instances in two different regions.
A spread of just 19 events per second between the lowest and highest single-thread result tells me the AMD EPYC cores are provisioned from the same hardware generation and are not being throttled or oversold between locations.
Multi-thread results:
The multi-thread scaling is almost perfectly linear. The Malaysia C4 delivers roughly 4x the single-thread result across 4 cores, and the NovaGPU delivers almost exactly 8x across its 8 cores.
That is the ideal outcome. It means every vCPU is doing an equal share of the work rather than one or two cores carrying the load while others sit idle.
The thread fairness standard deviation on the Malaysia C4 was 24.36, which is a touch higher than I would ideally want to see, but not a concern in practice. On the NovaGPU, it was 31.06 across 8 threads. Both are within normal range for a shared cloud environment.
For the memory test, I used sysbench with a 1K block size and a 10 GiB total transfer, running both sequential write and sequential read passes.
Sequential Write:
Sequential Read:
These are strong numbers across the board, and again, the consistency across regions is the standout detail.
All three servers fall within a tight range for both read and write, suggesting a standardized memory configuration rather than varying hardware generations across data centers.
The average latency on every memory operation across all three servers was 0.00ms at the millisecond level of precision, meaning memory access is happening faster than the measurement can register.
For workloads that rely heavily on in-memory operations like Redis, caching layers, or session storage, this kind of performance gives you a lot of headroom.
I used fio for disk testing, covering three scenarios: sequential write, sequential read, and random 4K mixed read/write under realistic conditions with multiple concurrent jobs.
Sequential Write:
Sequential Read:
The sequential read result is the most striking detail in this section. All three servers returned an essentially identical 238 MiB/s.
That kind of uniformity across two regions and two different product lines (NovaCloud and NovaGPU) confirms that IP ServerOne is running a consistent storage backend rather than mixing different disk tiers between locations.
Random 4K mixed read/write:
The random IOPS on the NovaCloud instances are genuinely impressive for a cloud VPS. Both the Malaysia and Singapore results land above 7,900 IOPS on both read and write simultaneously.
The NovaGPU instance comes in lower at around 6,300 IOPS, which is likely a reflection of heavier storage contention on the GPU host nodes rather than a different disk tier.
For database-heavy workloads where random 4K performance is what actually matters in production, the NovaCloud results here give me confidence.
I ran the Ookla speedtest twice on each server against different test servers to get a reliable picture. This is where the results got interesting.
Malaysia NovaCloud (two runs):
Both runs landed within 3 Mbps of each other on download and less than 1 Mbps on upload. That level of consistency between two different test servers tells me the result is real and not a fluke.
Latency of under 2ms idle to a Kuala Lumpur server from the same data center region is excellent.
Singapore NovaCloud (two runs):
The Singapore results are lower than Malaysia and consistently so across both runs. Around 156 to 157 Mbps download is not a bad result in absolute terms, but it is noticeably behind the Malaysia instance on the same storage and CPU tier.
If your users are concentrated in Southeast Asia and latency matters, the Malaysia region delivers a stronger network result in this test.
Malaysia NovaGPU (two runs):
This was the standout result of the entire benchmark. The NovaGPU instance hit over 1 Gbps on both download and upload across two separate runs against different test servers, with zero packet loss each time.
The idle latency of under 1ms on the first run is exceptional. For AI and ML workloads where you are pushing large datasets or model weights across the network, this bandwidth headroom makes a real difference to iteration speed.
The stress test is the final and perhaps most telling benchmark because it forces the server to sustain performance under continuous load across CPU, memory, and disk simultaneously over 3 minutes each.
This simulates real-world conditions like a traffic spike, a batch processing job, or a model training run.
CPU Stress (3 minutes):
Memory Stress (3 minutes):
Disk I/O Stress (3 minutes):
Not a single failure across all three servers, all three stressor types, and all three phases. Every stressor that was dispatched came back as passed, and not one result was flagged as untrustworthy.
The disk I/O results in particular are almost identical across all three servers at around 3,818 to 3,845 bogo ops/s, further confirming the consistency of the underlying storage layer.
Across three servers in two regions, the results tell a consistent story. The AMD EPYC processors scale cleanly with core count, the memory subsystem is fast and uniform, and the SSD storage delivers reliable throughput whether you are doing large sequential transfers or the kind of random 4K I/O that databases actually care about.
The network results are the most nuanced finding. The Malaysia NovaCloud instance delivered solid 262 to 265 Mbps results with sub-2ms idle latency.
Singapore came in lower at around 156 Mbps, which is acceptable but worth factoring in if network throughput is a priority for your workload. The NovaGPU instance is in a different league entirely, hitting over 1 Gbps on both download and upload with zero packet loss, making it genuinely well-suited for data-intensive AI and ML work.
The stress test verdict is simple: zero failures across every server and every stressor. The servers hold up cleanly under sustained pressure, which is the result that matters most when you are trusting production workloads to an infrastructure provider.
To test IP ServerOne’s Windows deployment, I provisioned a Windows Server 2022 Standard instance in Hong Kong and ran Microsoft’s built-in winsat assessment tool.
Since winsat uses different measurement methods than sysbench and fio, these results stand alone rather than as a direct comparison to the Linux numbers.
CPU:
The AES256 result is the standout number here. Over 6 GB/s of encryption throughput means this instance handles SSL termination, encrypted database connections, and any other cryptography-heavy workload with significant headroom.
For Windows Server deployments running IIS, Active Directory, or any application with heavy TLS overhead, this is a reassuring result.
Memory:
winsat measures memory bandwidth rather than the latency-focused metrics sysbench uses, so this number is not directly comparable to the Linux memory results.
What it confirms is that the memory subsystem on the Hong Kong instance is feeding data to the CPU at well over 300 GB/s, which is consistent with what you would expect from AMD EPYC hardware at this tier.
Disk:
The disk scores are consistently in the 8.1 to 8.7 range out of a maximum of 8.9, which puts this instance near the top of what winsat can measure.
The sequential read of 601 MB/s is particularly strong and the latency figures are well within what you would want for a production Windows Server workload. A 95th percentile read latency of 0.646ms under mixed load is genuinely good.
RDP Access:
Connecting via RDP from MobaXterm was straightforward once the instance moved from Build to Active status. The username is set to Administrator by default and is displayed directly on the instance overview page.
The password is retrieved from the portal via the Retrieve Password button.
One thing worth noting is that the portal requires a public key during Windows instance setup, and this is not just a formality. IP ServerOne uses it to encrypt your Administrator password at provisioning time.
To retrieve your password, you paste your private key into the Retrieve Password modal, and the decryption happens entirely within your browser.
It is a thoughtful security approach, though the portal gives no explanation of why the key is needed during setup, which will leave new users confused until they reach the password retrieval step.
The infrastructure is consistent regardless of OS. The WinSAT disk scores of 8.1 to 8.7 out of 8.9 and the 601 MB/s sequential read on a Windows instance in Hong Kong mirror what we saw on the Linux instances in Malaysia and Singapore.
The platform does not appear to treat Windows as a second-class deployment. The same underlying storage and CPU performance shows up regardless of what OS you put on top.
Multi-region genuinely works. This was a Hong Kong instance and it provisioned cleanly, RDP connected without issues, and the performance held up. For businesses that need Windows Server infrastructure in Asia without routing through a European or US provider, IP ServerOne delivers that reliably.
The rough edge is documentation, not infrastructure. The only real friction was the portal not explaining why a public key is required for a Windows instance. The underlying system is actually well designed. The gap is in communicating that design to the user during setup.
To get a fair picture of the IP ServerOne experience, I went through everything from scratch: finding the right product on the website, creating an account, working through the verification steps, and exploring the dashboard after logging in.
Here is a detailed breakdown of how each part went.
Before I could even think about registering, I spent a few minutes on the IP ServerOne website getting oriented.
Hovering over the Products and Services menu opens a well-structured mega-dropdown that groups every product into logical categories: Infrastructure, Cloud Hosting, AI, Storage, Bare Metal, Email, Network, Support, Data Protection, and Enterprise Solutions.
Short descriptions appear under each product name, which genuinely helps if you are not already familiar with the full lineup.
I navigated to the NovaCloud public cloud page and found it detailed without being overwhelming.
There is a sticky sidebar with anchor links to Benefits, Features, Plan and Pricing, Locations, and FAQ, so you can jump to exactly what you need rather than scrolling through the entire page.
The Try Now button is easy to spot and takes you straight to the portal.
The portal login page at portal.ipserverone.com uses a split layout: a login form on the left side for returning users and a New Customer panel on the right with a clearly labeled Create Account button. It is clean and unambiguous.
Clicking Create Account opens a short registration form asking for:
The form is minimal and takes under a minute to fill in. After submitting, IP ServerOne sends a verification email with a security code.
You enter that code on the next screen and are immediately greeted with a confirmation page that reads “You’re all set! Your email address has been successfully verified.”
There are no billing details required upfront, no plan selection before sign-up, and no unexpected steps buried in the process. For a first impression, that is a solid result.
After logging in, I hit two security prompts in quick succession before reaching the dashboard itself.
The first was a 2FA notification, informing me that mandatory two-factor authentication is coming in June 2026 and recommending I set it up now. The modal gives you the choice to enable it immediately or close it and return later. I closed it for now.
The second was a mobile number verification modal that asked me to enter a phone number to receive an SMS verification code. This is a security measure, and the intent is reasonable, but it does catch you off guard if you are expecting to land directly in the dashboard after email verification.
The modal also threw a validation error while I was still typing my number, which felt slightly abrupt.
Once I dismissed both prompts, I reached the dashboard proper. My first impression was positive. The layout is clean, and the information hierarchy makes sense:
The Announcement tab surfaces recent platform notices, including things like scheduled maintenance windows and upcoming policy changes. This is genuinely useful because you get a clear view of anything that might affect your services without having to go looking for it.
The left sidebar gives you access to everything you need to manage your account:
The top navigation bar shows your account ID, currency selection, a cart indicator, and a Submit Ticket button that is always visible. I appreciated having the ticket button accessible from every page rather than buried inside a Help menu.
One thing I noticed was that the currency defaults to MYR. If you are based outside Malaysia, it is worth confirming whether you can switch this during checkout.
For a first-time user with no active services yet, the dashboard feels organized rather than empty. The sidebar labels are descriptive, and nothing important is hidden more than one level deep.
With the dashboard explored, the next logical step is actually spinning up a server. Here is exactly how that process went.
The first thing I noticed is that NovaCloud requires a one-time activation per region before you can launch any instances.
From the Cloud Instances page, I could see four available regions in the dropdown:
Each region starts inactive until you deliberately enable it. Clicking Enable NovaCloud triggers a confirmation modal that warns the process may take 20 to 30 seconds. It is a minor but notable step that first-time users might not expect.
Once the region was active, the All Cloud Instances page loaded with a clean instance table and a prominent Launch Instance button in the top right.
My account showed a 0/5 instance limit, which is worth knowing upfront if you plan to spin up multiple servers simultaneously.
Clicking Launch Instance opens a clean three-step wizard:
Step 1 asks how you want to create your instance. Three options appear as visual cards:
I selected Create Instance from Image, which is the standard route for a fresh server.
Step 2 is where all the real configuration happens, and everything is on one scrollable page. I worked through it in order:
Step 2 also handles SSH keys and security rules, which I found sensibly grouped rather than buried in a separate settings area. Since I had no existing keys, I clicked generate, which opened a modal asking for a key name and format.
I kept OpenSSH and named it after the instance. The key was generated and appeared in the dropdown immediately.
For security rules, I toggled off Allow Remote Desktop since this is a Linux instance, and left Allow HTTP/S and Allow SSH on. Public Network was already toggled on by default.
Before launching, a Confirm Cloud Instance Creation modal appeared with a full summary:
I found this summary genuinely useful. You can review every configuration detail before anything is charged, and the monthly cost estimate gives you a clear picture of what a running instance would cost if left on all month.
After confirming, a final screen appeared: “Your request to launch an instance has been entered into the queue.” From there, you can either go back to Instances to watch it provision or click Launch Another Instance to start the next one immediately.
Looking at everything, here is an honest assessment:
The good:
The friction points:
Overall: The process is functional and mostly logical, but it has enough small friction points that a complete beginner might stumble before getting their first instance live. Experienced users will move through it quickly.
Once the instance was live, I clicked through to the HA-NovaCloud-MY instance page. The first thing I noticed was how much useful information is surfaced immediately without having to dig for it.
The Overview tab lays everything out in a clean grid:
The SSH command is displayed directly on the overview page with a one-click copy button next to it. That is a small but genuinely useful touch. You do not need to go hunting for your IP address or remember the username.
Below the instance details, live metrics graphs update in real time covering four areas: CPU percentage per core, memory in MiB, disk throughput in KB/s, and bandwidth in KiB/s. You can adjust the time range of the graphs from the dropdown, which I found useful for getting a quick baseline picture of how the instance was behaving right after provisioning.
The action buttons at the top of the overview are exactly what you would expect: Console, Stop, Reboot, Add to Project, and an Actions dropdown for anything else.
Moving across the tabs:
Storage shows your attached volumes in a clean table with the volume name, size in GiB, mount point, and snapshot count. My 400 GiB volume appeared mounted at /dev/vda. The Actions dropdown per volume gives you three options: Extend, Rename, and Create Snapshot.
Two additional buttons at the top let you create and attach a new volume or attach an existing one. The whole storage management experience is straightforward and does not require CLI work for basic operations.
Security Groups shows all groups currently assigned to the instance. Mine had two: a default group and the predefined rules group that was created during the launch wizard. You can edit rules on any group directly from this tab, remove groups, or create and assign new ones from a dropdown.
Having firewall management this accessible from the instance page is a genuine usability advantage.
Network is the most detailed tab of the four. It shows:
The alerts feature stood out to me. Being able to set usage alarms per instance from within the network tab means you can monitor data transfer without needing a separate monitoring tool, which is useful for keeping costs predictable on a pay-per-use plan.
Overall, the instance management interface is well structured.
Everything you need for day-to-day management is reachable within one or two clicks from the instance overview, and the tab layout keeps related settings logically grouped without making the page feel cluttered.
IP ServerOne’s onboarding experience is well thought out for a regional provider. Registration is fast, the website is easy to navigate, and the portal dashboard does not overwhelm you with information you do not need right away.
The main friction points are the two back-to-back security prompts that greet you on your first login.
Both the 2FA setup recommendation and the mobile verification modal are understandable from a security standpoint, but landing on two modals before you even see your dashboard creates a slightly jarring first impression. Streamlining these into a single onboarding checklist would make the experience noticeably smoother.
That said, once you are past those prompts, the dashboard is intuitive, and the product navigation on the main website is among the better-organized I have seen from a provider at this level. If you have any familiarity with cloud hosting concepts, you will feel at home quickly.
Before testing support directly, I spent a few minutes mapping out what IP ServerOne actually offers.
The channel lineup is broader than most regional providers I have reviewed:
For the fastest resolution on technical issues, the portal ticket system or the phone line are the recommended starting points. Email works better for follow-up or when you need to document a trail.
I decided to test two things: the ticket support experience and the quality of the knowledge base.
From inside the portal, I navigated to Help Center in the left sidebar and clicked Create New Ticket.
The ticket form is well structured and asks for:
I selected Technical Support, categorized the issue under Server Performance Issue, and then Other technical inquiry, and submitted the following question:
“Hi. Does NovaCloud support custom kernel versions or is the kernel managed by IP ServerOne? If I need to load a specific kernel module for my application, what is the process for doing that on a Linux instance?”
This is a technical question with no obvious single answer. It requires the agent to understand how OpenStack-based cloud instances handle kernel management, which makes it a genuine test of whether the team knows their infrastructure or just reads from scripts.
After hitting Submit, I was taken to a clean confirmation screen with the ticket ID and a link to track the response in My Support Ticket.
The ticket was submitted at 11:00 am on 6 May 2026. The first response arrived at 11:08 am, just 8 minutes later. This was an acknowledgment from Leon Lee Chin Xian, System Engineer, confirming the ticket had been received.
The second response came at 12:14 pm, 74 minutes after submission. Leon followed up with a clarifying question: asking whether I wanted to run a fully custom kernel on the Linux instance before providing a full answer.
A few observations on this:
The one limitation to note is that I received a clarifying question rather than a complete answer within the test window. If you need a definitive technical response quickly, the phone hotline may be faster for nuanced infrastructure questions like this one.
The IP ServerOne knowledge base lives at a separate URL from the main portal and is organized into 12 content categories:
The featured tutorials on the homepage are practically chosen and relevant to what new users actually need: generating SSH keys, setting up Let’s Encrypt SSL on AlmaLinux, and installing NVIDIA GPU drivers on Debian. That last one in particular is a strong signal that the knowledge base is kept current alongside the product lineup.
I opened the SSH key generation article to check the quality. It is well written, organized into a clear four-step guide, and includes code blocks for every command.
Related articles are listed at the bottom, which helps you navigate connected topics without going back to the search bar. The writing is accessible without being condescending, and the steps are accurate.
One thing I appreciated is that the knowledge base also surfaces the 24/7 hotline number at the top of every page, so you are never more than one glance away from live help if the documentation does not answer your question.
IP ServerOne’s support infrastructure is solid and clearly invested in. The ticket acknowledgment in 8 minutes is fast, the follow-up came from a named System Engineer rather than a first-line responder, and the clarifying question rather than a generic answer signals genuine technical engagement.
The knowledge base is well organized and the articles I reviewed are accurate, practical, and up to date. Having a dedicated article on NVIDIA GPU driver installation alongside the standard Linux basics tells me the self-help content is maintained alongside the actual product roadmap.
The areas worth flagging are the absence of live chat inside the portal itself (Nova AI is available, but it is still learning), and the fact that billing and general enquiries are limited to business hours Monday to Friday. If you are running production infrastructure and hit a billing or account issue on a weekend, the ticket system is your only non-phone option.
For technical issues on cloud and GPU instances, the support experience here inspires confidence.
Yes, I recommend IP ServerOne for businesses and developers who need a reliable, compliance-ready cloud platform in the APAC region. What stood out most across my testing was not any single number but the consistency of the results.
Three servers, two regions, two product lines, and the benchmark numbers barely moved. That kind of uniformity points to a mature, well-managed infrastructure rather than a platform that performs well on paper but varies unpredictably in practice.
The zero-failure stress test results across all three servers, the near-identical sequential read speeds of 238 MiB/s regardless of region or product type, and the AMD EPYC CPU scaling that stays linear from 2 cores all the way to 8 are the details that actually matter for production workloads.
The Singapore network speeds also came in lower than Malaysia in my tests, which is worth factoring in if your users are concentrated in Singapore.
For everyone else, particularly Malaysian and APAC businesses running web applications, databases, APIs, or AI and ML workloads that need to stay within local data sovereignty requirements, IP ServerOne is a provider I would trust with production infrastructure.
| Plan Name | Space | CPU | RAM | Bandwidth | OS | Price | |
|---|---|---|---|---|---|---|---|
| NovaCloud General Opt-C1 | 10 GB | 1 core | 3.7 GB | 1 TB | £1.87 | Details | |
| NovaCloud General Opt-C2 | 10 GB | 2 cores | 7.3 GB | 1 TB | £3.41 | Details | |
| NovaCloud General Opt-C4 | 10 GB | 4 cores | 14.6 GB | 1 TB | £6.83 | Details | |
| NovaCloud General Opt-C8 | 10 GB | 8 cores | 29.3 GB | 1 TB | £13.66 | Details | |
| NovaCloud General Opt-C16 | 10 GB | 16 cores | 58.6 GB | 1 TB | £27.31 | Details | |
| NovaCloud RAM Optimized - C2 | 10 GB | 2 cores | 29.3 GB | 1 TB | £39.60 | Details | |
| NovaCloud General Opt-C32 | 10 GB | 32 cores | 117.19 GB | 1 TB | £54.62 | Details | |
| NovaCloud RAM Optimized - C4 | 10 GB | 4 cores | 58.6 GB | 1 TB | £77.84 | Details | |
| NovaCloud RAM Optimized - C8 | 10 GB | 8 cores | 117.19 GB | 1 TB | £155.67 | Details | |
| NovaCloud RAM Optimized - C12 | 10 GB | 12 cores | 234.4 GB | 1 TB | £297.69 | Details |
Yes. IP ServerOne is a well-established Malaysian cloud provider operating since 2003 with strong security certifications, consistent benchmark performance across multiple regions, and a capable support team. It is particularly well-suited for businesses that need data sovereignty and compliance-ready infrastructure in the APAC region.
IP ServerOne operates data centers in Malaysia (Selangor and Sarawak), Singapore, and Hong Kong. Their Tier III Malaysian data center is ISO 27001, ISO 27017, PCI-DSS, and SOC 2 Type II certified.
No. IP ServerOne operates a non-refund policy. Any refund request is assessed case by case and granted entirely at their discretion. If this matters to you, starting on a pay-per-use hourly plan rather than a longer subscription is the safer approach.
NovaCloud is IP ServerOne’s public cloud hosting service, built on OpenStack technology. It offers on-demand Linux and Windows VPS instances with flexible hourly or subscription billing, free tiered automatic backups, anti-DDoS protection, and multi-region deployment across Malaysia, Singapore, and Hong Kong.
Yes. Their NovaGPU service provides dedicated, non-shared NVIDIA GPUs ranging from the RTX 3090 to the H200 NVL Tensor Core, all hosted in Malaysia. In my benchmarks, the NovaGPU instance delivered over 1 Gbps network throughput with sub-1ms idle latency, making it genuinely well-suited for data-intensive AI training and inference workloads.
IP ServerOne holds ISO 27001 and ISO 27017 certifications applicable to their Malaysian data center, PCI-DSS compliance across Malaysia, Singapore, and Hong Kong, SOC 2 Type II certification applicable to cloud services and Malaysian data center infrastructure, and Malaysia Digital Status accreditation.
Based on their published comparison data for a 1-core, 4GB RAM instance, IP ServerOne’s NovaCloud comes in significantly lower than AWS, Azure, and Google Cloud on a monthly basis and includes 1 TiB of data transfer at no additional cost. The comparison is most favorable when you factor in that data transfer charges from hyperscalers can quickly exceed the base compute cost.
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