Recent Posts

1

General Cloud Hosting Discussion / Re: GPU dedicated servers, where can I order them?

« Last post by myresellerhome on January 30, 2026, 11:37:37 PM »

Try out MyResellerHome web hosting service. Our dedicated hosting plan starts at $99/mo. It includes services like cPanel/Plesk, free SSL, free WHMCS, 100% uptime guarantee, and more. For more information, please visit our website.

2

General Cloud Hosting Discussion / just.hosting vs planethoster.com

« Last post by Egrikolla on January 30, 2026, 03:01:19 PM »

Comparing deals from just.hosting and planethoster.com, which plan suits me better as I plan to host a forum?
What do you think? 

3

General Cloud Hosting Discussion / Re: Seeking Reliable VPS Hosting Provider for Business Website

« Last post by Egrikolla on January 30, 2026, 02:37:27 PM »

Reliable VPS accounts are available from inet.ws.
I’m very happy with their turnaround time and support. Other things that I like about them are these:
 Amazing up time
Cheap price, yet quality hosting
 Fast server speed
One click script installing
 Lots of other features.

4

Cloud Hosting Offers / 13 Locations: North America (US & Canada), UK and Europe. The best price for SSD

« Last post by KimChen on January 30, 2026, 11:36:24 AM »

Intel Xeon E5-2695v4

Ashburn, Atlanta, Chicago, Dallas, Los Angeles, Miami, New York, Phoenix, Seattle, Vancouver, Toronto, London and Frankfurt

Looking Glass for our VPS

Discover the true potential of powerful VPS at an incredibly low price!

_____

ORDER NOW


Key Features:
* Full root access
* Intel Xeon E5-2695v4
* Weekly Backup - Free
* KVM virtualization
* Choice of Linux or FreeBSD operating system
* 99.95% SLA
* Multiple hosting regions in North America (US & Canada), UK and Europe

Linux VPS vCPU-1/ RAM-2/ SSD-30GB- $4/mon
* 1 vCPU Intel Xeon E5-2695v4
* 2GB RAM (ECC)
* 30GB SSD
* 10TB Bandwidth (Each additional 2TB = $1
* Weekly Backup Free
* Snapshots for Free
* Instant Deployment


Linux VPS vCPU-2/ RAM-4/ SSD-60GB - $8/mon
* 2 vCPU Intel Xeon E5-2695v4
* 4GB RAM (ECC)
* 60GB SSD
* 20TB Bandwidth (Each additional 2TB = $1
* Weekly Backup Free
* Snapshots for Free
* Instant Deployment

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* Powerful, Affordable, Reliable, Cheap Virtual Private Servers (VPS)
* 13 Locations: North America (US & Canada), UK and Europe
* Weekly Backup - FREE
* Linux/FreeBSD

Looking Glass: https://inet.ws/lg

List of Operating Systems available:
* CloudLinux 7, 8 and 9
* CloudLinux + cPanel
* CloudLinux + Plesk
* CloudLinux + DirectAdmin
* AlmaLinux 8.7
* AlmaLinux 9.1
* CentOS 6.10
* CentOS 7.9
* Debian 8.7
* Debian 9.4
* Debian 10
* Debian 11
* Rocky Linux 8.6
* Rocky Linux 9.1
* Ubuntu 18.04
* Ubuntu 20.04
* Ubuntu 22.04
And over 100 other applications

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Available VPS Locations


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5

Cloud Hosting Offers / GPU Resource Scheduling Practices for Maximizing Utilization Across Teams

« Last post by manoharparakh on January 30, 2026, 05:31:06 AM »

GPU capacity has quietly become one of the most constrained and expensive resources inside enterprise IT environments. As AI workloads expand across data science, engineering, analytics, and product teams, the challenge is no longer access to GPUs alone. It is how effectively those GPUs are shared, scheduled, and utilized.
Why GPU scheduling is now a leadership concern
In many enterprises, GPUs were initially deployed for a single team or a specific project. Over time, usage expanded. Data scientists trained models. Engineers ran inference pipelines. Research teams tested experiments. Soon, demand exceeded supply.
Without structured private GPU scheduling strategies, teams often fall back on informal booking, static allocation, or manual approvals. This leads to idle GPUs during off-hours and bottlenecks during peak demand. The result is poor GPU utilization optimization, even though hardware investment continues to grow.
Understanding GPU resource scheduling in practice
GPU scheduling determines how workloads are assigned to available GPU resources. In multi-team setups, scheduling must balance fairness, priority, and utilization without creating operational complexity.
At a basic level, scheduling answers three questions:
•   Who can access GPUs
•   When access is granted
•   How much capacity is allocated
In mature environments, scheduling integrates with orchestration platforms, access policies, and usage monitoring. This enables controlled multi-team GPU sharing without sacrificing accountability.
The cost of unmanaged GPU usage
When GPUs are statically assigned to teams, utilization rates often drop below 50 percent. GPUs sit idle while other teams wait. From an accounting perspective, this inflates the effective cost per training run or inference job.
Poor scheduling also introduces hidden costs:
•   Engineers waiting for compute
•   Delayed model iterations
•   Manual intervention by infrastructure teams
•   Tension between teams competing for resources
Effective AI resource management treats GPUs as shared enterprise assets rather than departmental property.
Measuring success through utilization metrics
Effective GPU utilization optimization depends on measurement. Without clear metrics, scheduling improvements remain theoretical.
Key indicators include:
•   Average GPU utilization over time
•   Job waits times by team
•   Percentage of idle capacity
•   Frequency of preemption or rescheduling
These metrics help leadership assess whether investments in GPUs and scheduling platforms are delivering operational value.
Overly rigid quotas can discourage experimentation. Completely open access can lead to resource hoarding. Lack of visibility creates mistrust between teams.
The most effective private GPU scheduling strategies strike a balance. They provide guardrails without micromanagement and flexibility without chaos.
For enterprises implementing structured AI resource management in India, ESDS Software Solution Ltd. GPU as a service provides managed GPU environments hosted within Indian data centers. These services support controlled scheduling, access governance, and usage visibility, helping organizations improve GPU utilization optimization while maintaining compliance and operational clarity.
For more information, contact Team ESDS through:
Visit us: https://www.esds.co.in/gpu-as-a-service

6

Miscellaneous / GPU Resource Scheduling Practices for Maximizing Utilization Across Teams

« Last post by manoharparakh on January 30, 2026, 05:10:25 AM »

GPU capacity has quietly become one of the most constrained and expensive resources inside enterprise IT environments. As AI workloads expand across data science, engineering, analytics, and product teams, the challenge is no longer access to GPUs alone. It is how effectively those GPUs are shared, scheduled, and utilized.
Why GPU scheduling is now a leadership concern
In many enterprises, GPUs were initially deployed for a single team or a specific project. Over time, usage expanded. Data scientists trained models. Engineers ran inference pipelines. Research teams tested experiments. Soon, demand exceeded supply.
Without structured private GPU scheduling strategies, teams often fall back on informal booking, static allocation, or manual approvals. This leads to idle GPUs during off-hours and bottlenecks during peak demand. The result is poor GPU utilization optimization, even though hardware investment continues to grow.
Understanding GPU resource scheduling in practice
GPU scheduling determines how workloads are assigned to available GPU resources. In multi-team setups, scheduling must balance fairness, priority, and utilization without creating operational complexity.
At a basic level, scheduling answers three questions:
•   Who can access GPUs
•   When access is granted
•   How much capacity is allocated
In mature environments, scheduling integrates with orchestration platforms, access policies, and usage monitoring. This enables controlled multi-team GPU sharing without sacrificing accountability.
The cost of unmanaged GPU usage
When GPUs are statically assigned to teams, utilization rates often drop below 50 percent. GPUs sit idle while other teams wait. From an accounting perspective, this inflates the effective cost per training run or inference job.
Poor scheduling also introduces hidden costs:
•   Engineers waiting for compute
•   Delayed model iterations
•   Manual intervention by infrastructure teams
•   Tension between teams competing for resources
Effective AI resource management treats GPUs as shared enterprise assets rather than departmental property.
Measuring success through utilization metrics
Effective GPU utilization optimization depends on measurement. Without clear metrics, scheduling improvements remain theoretical.
Key indicators include:
•   Average GPU utilization over time
•   Job waits times by team
•   Percentage of idle capacity
•   Frequency of preemption or rescheduling
These metrics help leadership assess whether investments in GPUs and scheduling platforms are delivering operational value.
Overly rigid quotas can discourage experimentation. Completely open access can lead to resource hoarding. Lack of visibility creates mistrust between teams.
The most effective private GPU scheduling strategies strike a balance. They provide guardrails without micromanagement and flexibility without chaos.
For enterprises implementing structured AI resource management in India, ESDS Software Solution Ltd. GPU as a service provides managed GPU environments hosted within Indian data centers. These services support controlled scheduling, access governance, and usage visibility, helping organizations improve GPU utilization optimization while maintaining compliance and operational clarity.
For more information, contact Team ESDS through:
Visit us: https://www.esds.co.in/gpu-as-a-service

7

General Cloud Hosting Discussion / GPU Resource Scheduling Practices for Maximizing Utilization Across Teams

« Last post by manoharparakh on January 30, 2026, 05:06:14 AM »

GPU capacity has quietly become one of the most constrained and expensive resources inside enterprise IT environments. As AI workloads expand across data science, engineering, analytics, and product teams, the challenge is no longer access to GPUs alone. It is how effectively those GPUs are shared, scheduled, and utilized.
Why GPU scheduling is now a leadership concern
In many enterprises, GPUs were initially deployed for a single team or a specific project. Over time, usage expanded. Data scientists trained models. Engineers ran inference pipelines. Research teams tested experiments. Soon, demand exceeded supply.
Without structured private GPU scheduling strategies, teams often fall back on informal booking, static allocation, or manual approvals. This leads to idle GPUs during off-hours and bottlenecks during peak demand. The result is poor GPU utilization optimization, even though hardware investment continues to grow.
Understanding GPU resource scheduling in practice
GPU scheduling determines how workloads are assigned to available GPU resources. In multi-team setups, scheduling must balance fairness, priority, and utilization without creating operational complexity.
At a basic level, scheduling answers three questions:
•   Who can access GPUs
•   When access is granted
•   How much capacity is allocated
In mature environments, scheduling integrates with orchestration platforms, access policies, and usage monitoring. This enables controlled multi-team GPU sharing without sacrificing accountability.
The cost of unmanaged GPU usage
When GPUs are statically assigned to teams, utilization rates often drop below 50 percent. GPUs sit idle while other teams wait. From an accounting perspective, this inflates the effective cost per training run or inference job.
Poor scheduling also introduces hidden costs:
•   Engineers waiting for compute
•   Delayed model iterations
•   Manual intervention by infrastructure teams
•   Tension between teams competing for resources
Effective AI resource management treats GPUs as shared enterprise assets rather than departmental property.
Measuring success through utilization metrics
Effective GPU utilization optimization depends on measurement. Without clear metrics, scheduling improvements remain theoretical.
Key indicators include:
•   Average GPU utilization over time
•   Job waits times by team
•   Percentage of idle capacity
•   Frequency of preemption or rescheduling
These metrics help leadership assess whether investments in GPUs and scheduling platforms are delivering operational value.
Overly rigid quotas can discourage experimentation. Completely open access can lead to resource hoarding. Lack of visibility creates mistrust between teams.
The most effective private GPU scheduling strategies strike a balance. They provide guardrails without micromanagement and flexibility without chaos.
For enterprises implementing structured AI resource management in India, ESDS Software Solution Ltd. GPU as a service provides managed GPU environments hosted within Indian data centers. These services support controlled scheduling, access governance, and usage visibility, helping organizations improve GPU utilization optimization while maintaining compliance and operational clarity.
For more information, contact Team ESDS through:
Visit us: https://www.esds.co.in/gpu-as-a-service

8

Cloud Hosting Offers / HostingSource 1st MONTH SPECIAL NVME VPS 24/7 Support, No Contract Required!

« Last post by Hostingsource on January 29, 2026, 11:47:35 PM »

HostingSource.com is a leading hosting provider, offering reliable, scalable solutions for customers of all sizes and services. We supply all of the servers, software, bandwidth and management tools needed to run almost any web hosted application - from small to enterprise server solutions. The staff has over 30 years of experience in the IT field. HostingSource has access to all the major carriers within the New York and New Jersey area without the need for local loop circuits. The servers are powered by Intel processors, each equipped with high-performance memory giving you the best hosting experience. Our Hardware and telecommunication resources are completely redundant to the needs of our customers. Our Virtual Servers are Built with Enterprise Hardware and Provide High Performance Resources.

VPS Hosting Features:
 - Quick Provisioning
 - Backups and Snapshots
 - Free Account Migration
 - Dedicated Resources
 - Full Root or Administrator Access
 - Enterprise Security
 - Blazing Fast NVME
 - 24/7/365 Dedicated Support
 - No Contract Required

CHECK OUT HostingSource.com VPS Hosting Promo:

VPS-I Plan: 1 vCPU, 40 GB NVME Storage, 2GB - RAM - Price $5/month ($3 1st Month) - SELECT
VPS-II Plan: 2 vCPU, 60 GB NVME Storage, 4GB - RAM - Price $9/month ($3 1st Month) - SELECT
VPS-III Plan: 4 vCPU, 80 GB NVME Storage, 6GB - RAM - Price $15/month ($4 1st Month) - SELECT
VPS-IV Plan: 6 vCPU, 120 GB NVME Storage, 8GB - RAM - Price $19/month ($4 1st Month) - SELECT
VPS-V Plan: 8 vCPU, 160 GB NVME Storage, 12GB - RAM - Price $24/month ($5 1st Month) - SELECT
VPS-VI Plan: 10 vCPU, 200 GB NVME Storage, 16GB - RAM - Price $29/month ($5 1st Month) - SELECT
VPS-VII Plan: 12 vCPU, 240 GB NVME Storage, 20GB - RAM - Price $34/month ($6 1st Month) - SELECT
VPS-VIII Plan: 14 vCPU, 280 GB NVME Storage, 24GB - RAM - Price $39/month ($6 1st Month) - SELECT
VPS-IX Plan: 16 vCPU, 320 GB NVME Storage, 28GB - RAM - Price $45/month ($7 1st Month) - SELECT
VPS-X Plan: 18 vCPU, 360 GB NVME Storage, 32GB - RAM - Price $50/month ($7 1st Month) - SELECT
VPS-XI Plan: 20 vCPU, 400 GB NVME Storage, 48GB - RAM - Price $65/month ($8 1st Month) - SELECT
VPS-XII Plan: 22 vCPU, 450 GB NVME Storage, 64GB - RAM - Price $80/month ($8 1st Month) - SELECT

HostingSource operates an all digital New York Network and New Jersey Network consisting of a blend of top transit providers. With advanced routing technology, traffic takes the shortest and least congested routes on any of our available upstreams. Multiple 10 gigabit connections maximize uptime and ensure stable network connectivity. Our use of premium quality tier-1 global networks ensures the highest level of speed and performance to any destination around the globe. Wholesale bandwidth portfolio now includes four tier-1 carriers available via 10 Gigabits ports. This includes Level3, XO, Verizon and Cogent ISPs.

Server Options: Windows OS, WHM/Cpanel, Additional IPs.
Managed Services: Basic Support – Free, Advanced Plan – $19/Month, Professional Plan – $39/Month.
Volume Discounts: 6 Month Prepaid – 10% Discount; 12 Month Prepaid – 15% Discount; 24 Month Prepaid – 20% Discount.
Server Features: Full Backups, System Snapshots, Antivirus, Firewall.
Server Management: Start / Stop / Restart Server, Complete System Management, SSH or RDP Access, Server Monitor, Server Re-Image.
Windows Operating Systems: Windows Server 2025 64bit, Windows Server 2022 64bit, Windows Server 2019 64bit, Windows Server 2016 64bit, Windows Server 2012 64bit, Windows 11 64bit.
Linux Operating Systems: AlmaLinux, CentOS, Ubuntu, Debian, Rocky, FreeBSD.
Hardware Facts: Enterprise Class Servers, NVME Storage, Hardware RAID 10, ECC Registered RAM, Redundant Network, Redundant Power.

Speciality Server:
Database Servers - Our platform can support multiple database types that’s optimized for great performance. We support mySQL or MariaDB on Linux and MS SQL Server on Windows. Improve overall performance by offloading your SQL processing to our servers with dedicated resources.
Game VPS / Minecraft VPS - With our game VPS, you can run your favorite games with the great service and quality you expect.
Trading VPS / Forex VPS - We offer high-performance, reliable virtual and dedicated servers, for professional and individual traders.

Support is available 24/7 via our support center, phone and live chat services.
All of our support tickets are responded to within one hour, so you can be assured of a timely response and quick resolution to your issue.

9

Cloud Hosting Offers / MyDreams Unmanaged Dedicated Servers: Backups, No Fees, KVM over IP, Stable Work

« Last post by Jiaqagav on January 29, 2026, 11:15:43 PM »

MyDreams innovations s.r.o. (Inc.) is a company that has been operating in the field of hosting services since 2004. First, as a self-employed and now as a company. MyDreams team members are people with many years of experience in hosting, VPS servers and dedicated servers. All of our administrators have received Red Hat certification and are continually expanding their qualifications. Our principal administrator holds the RHCA Certification (Red Hat Certified Architect). All of our hosting services focus mainly on stability and security. We specialize in the development, operation, and support of custom solutions.

Full List of Available Operating Systems: Debian 13 - NEW, Ubuntu 24.04 LTS - NEW, AlmaLinux 10, AlmaLinux 9, AlmaLinux 8, CentOS 7.

Here are MyDreams DEDICATED SERVERS - OFFERS:

1U Server PROMO R630
CPU: 2x Intel Xeon E5-2680 v4 @ 2.40GHz (14 cores)
RAM: 384 GB DDR4
Disk: 2x 480 GB SSD Raid 1 + 2x 3.84 TB SSD RAID 1
IPv4: 3x
1x 10 Gbit eth
1 Gbps garantovaná šířka pásma
Root access
KVM over IP
Ready within 48 hours
Quarterly/annual payments
No notice period
No installation fee
3 990 CZK (4 828 CZK excl VAT)/ 164,35 € (3 months order) - ORDER NOW

1U Server Economic+ (Unmanaged Supermicro)
1x Intel Xeon E3 2.00GHz (2 cores) or equivalent
RAM: 8 GB
Disks: 2x 250 GB SSD
3x IPv4 address
2x 100 Mbit eth
100 Mbps bandwidth
810 Kč without TAX ORDER NOW

1U Server Popular+ (Unmanaged Supermicro)
1x E-2234 (4 core) or equivalent
RAM: 16 GB
Disks: 2x 200 GB SSD
5x IPv4 address
2x 100 Mbit eth
100 Mbps bandwidth
1699 Kč without TAX ORDER NOW

1U Server Business (Unmanaged Dell R430/R440)
Intel Xeon Silver 4210 (10 core)
RAM: 128 GB
Disc: 2x 960 GB SSD
3x IPv4 address
2x 1 Gbit eth
1 Gbps bandwidth
5490 Kč without TAX ORDER NOW

1U Server Best deal (Unmanaged Dell R6515)
AMD Epyc 7313P (16 core)
RAM: 256 GB
Disc: 2x 1,92 GB SSD
3x IPv4 address
2x 1 Gbit eth
1 Gbps bandwidth
7980 Kč without TAX ORDER NOW

1U Server Business A (Unmanaged Dell R6615)
AMD Epyc 9124 (16 core)
RAM: 256 GB
Disks: 2x 3,84 TB SSD MVMe Gen4
3x IPv4 adresa
2x 1 Gbit eth
1 Gbps guaranteed bandwidth
10850 Kč without TAX ORDER NOW

1U Server Business B (Unmanaged Dell R6615)
AMD Epyc 9124 (16 core)
RAM: 256 GB
Disks: 2x 4 TB SATA + 2x 960 GB SSD
3x IPv4 adresa
2x 1 Gbit eth
1 Gbps guaranteed bandwidth
10450 Kč without TAX ORDER NOW

1U Server Executive (Unmanaged Dell R6525)
2x AMD Epyc 7443 (24 core)
RAM: 256 GB
Disks: 2x 7,68 TB SSD MvMe Gen4
3x IPv4 adresa
2x 1 Gbit eth
1 Gbps guaranteed bandwidth
13800 Kč without TAX ORDER NOW

1U Server Royal (Unmanaged Dell R6525)
2x AMD Epyc 7443 (24 core)
RAM: 320 GB
Disks: 2x 15,35 TB MVMe Gen4
3x IPv4 adresa
2x 1 Gbit eth
1 Gbps guaranteed bandwidth
14980 Kč without TAX ORDER NOW

The dedicated server price includes:
 - Server rental and housing
 - Ready within 48 hours
 - 1000 Mbps Connectivity (NIX) without aggregation
 - 100 Mbps Connectivity (Tranzit) without aggregation
 - Replacing the Damaged Hardware
 - Monitoring of services
 - Primary installation of the system
 - Unlimited traffic
 - 24/7 restart on request
 - Housing in the modern Prague data center
 - Professional Helpdesk interface
 - Port 25 open
 - Monthly, quarterly, or annual payments
 - Possibility to pay by Paypal
 - Without notice

5% DISCOUNT on annual billing. Servers runs on solutions from SuperMicro, HP, IBM, DELL a SUN. We prefer servers SuperMicro a DELL. Above-standard dedicated server management, SLA, backup to external server, and Cloud solutions can be ordered in SERVER MANAGEMENT.

If the customer is successful, we can be successful too.
Learn more and [ORDER TODAY]

MyDreams.cz - Czech VPS, IPv4 provider.

10

Cloud Hosting Offers / Get Affordable GTHost KVM NVMe VPS| Top-Tier Local Connectivity in US, CA & EU

« Last post by flowerpotvicar on January 29, 2026, 09:41:52 PM »

If you're looking for Fast Virtual Private Servers, GTHost.com is the Solution!
Real-Time Listing | Delivery in seconds 24/7

At GTHost, we believe in creating a service and environment that supports openness and complete transparency. Virtual private servers (VPS) provide a fantastic solution for all your web hosting needs. Whether you’re starting a blog, running an online store, or managing a business website, GTHost offers the flexibility and performance for all your online projects. Our Looking Glass portal supports our mission of transparency by allowing you to easily check the connectivity of GTHost network and also to perform several key tests including ping and trace.

We launched a KVM VPS service in 18 locations: Ashburn, Atlanta, Chicago, Dallas, Los Angeles, Phoenix, Miami, Detroit, NYC, Montreal, Seattle, Toronto, Amsterdam, Frankfurt, Madrid, London, Paris: https://gthost.com/vps

Take a look at GTHost.com VPS Hosting Solutions:

VPS-4 - 1 CPU, 1GB RAM, SAS/NVMe 20GB, Traffic 8TB - $4/mo.
VPS-5 - 1 CPU, 2GB RAM, SAS/NVMe 20GB, Traffic 8TB - $5/mo.
VPS-10 - 2 CPU, 4GB RAM, SAS/NVMe 40GB, Traffic 8TB - $10/mo.
VPS-12T - 1 CPU, 1GB RAM, SAS/NVMe 20GB, Traffic 24TB - $12/mo.
VPS-15 - 2 CPU, 8GB RAM, SAS/NVMe 80GB, Traffic 16TB - $15/mo.
VPS-20 - 4 CPU, 8GB RAM, SAS/NVMe 160GB, Traffic 16TB - $20/mo.
VPS-22T - 1 CPU, 2GB RAM, SAS/NVMe 20GB, Traffic 26TB - $22/mo.
VPS-25 - 4 CPU, 16GB RAM, SAS/NVMe 240GB, Traffic 16TB - $25/mo.
VPS-30T - 1 CPU, 2GB RAM, SAS/NVMe 20GB, Traffic 48TB - $39/mo.
VPS-35 - 8 CPU, 16GB RAM, SAS/NVMe 240GB, Traffic 24TB - $35/mo.
VPS-50 - 16 CPU, 32GB RAM, SAS/NVMe 360GB, Traffic 32TB - $50/mo.

Looking Glass: https://gthost.com/looking-glass/ (ping, traceroute, mtr)

GTHost VPS Hosting Advantages:
 - Supermicro Blade Servers, Enterprise SAS/NVMe drives, Linux Auto-deploy, Auto-backups
 - Enterprise Data Centers, Fully Redundant Power Feeds (A+B)
 - 100% Owned Equipment

With a VPS hosting plan, you can allocate server resources according to your requirements. This includes the amount of disk space (storage capacity) and processing power (CPU and RAM) that your website or application requires to function optimally. In other words, you can optimize your VPS to match the demands of your website or application, ensuring that you have the necessary resources to support your online activities. We guarantee that our GTHost virtual machines are equipped with modern technologies and surely can handle any level of traffic.
     
Don't see what you're looking for? Please contact us.