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google cloud platform vps: Here are some of the benefits of using a VPS on GCP vps canada
Google Cloud Platform (GCP) offers a VPS service called Compute Engine. It allows you to create and run virtual machines on Google’s infrastructure. You can choose from a variety of machine types and regions, and you only pay for the resources you use. GCP also offers a free tier that includes 20+ products, including Compute Engine. You can use the free tier to create a VPS with a small…

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EXCLUSIVE: Cloud Nine Productions, one of the production companies behind CBS’ Matlock, has a new President.
The company, which was founded by NCIS: Los Angeles star Eric Christian Olsen, has named Amanda Tudesco to the role.
Tudesco was previously Head of TV & Film at Jenny Kissed Me, Jenny Han’s production company that had an overall deal at Amazon.
She will help Olsen expand the company’s television footprint and develop a slate of projects under its first-look deal with CBS Studios, which is the studio behind the Kathy Bates-fronted legal drama.
It comes after Matlock was handed an early season two renewal.
Separately, Anna Volain Jones has been promoted to VP. Volain Jones, who previously worked at Legendary Entertainment, where she supported development on projects including HBO’s Dune: Prophecy and Apple’s Monarch, is a co-exec producer on Matlock, having joined the company in 2021.
Tudesco helped build Jenny Kissed Me and worked on series including Amazon’s The Summer I Turned Pretty and Netflix’s XO, Kitty. Before that, she spent six years as Head of Development & Production at Carpool Entertainment, working alongside showrunners Karyn Usher and Lisa Zwerling, where she worked on Starz’s The Rook.
Olsen founded Cloud Nine Productions in 2016 and previously produced Hulu comedy Woke, which starred Lamorne Morris. It has had a first-look deal with CBS Studios for the past eight years. It is repped by UTA.
“Amanda’s a superstar, and we are excited to have her on board,” said Eric Christian Olsen. “She has fantastic development instincts, incredible production skills, and a stellar reputation with writers, reps, and buyers. With our continued pledge to never work with asshats, she’s also a deeply good and thoughtful human being with a great sense of humor.”
Tudesco added, “I’m so honored to be joining Eric and his incredible team during such an exciting time for Cloud Nine. Eric’s amazing reputation as a producer speaks for itself, and I’ve been so inspired by his intelligence, hustle, and ability to quickly solve complex problems while in the thick of production. I’m thrilled for our next chapter together as we continue to produce, develop, and champion unique stories across all genres.”
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Price Comparison: DigitalOcean vs. Linode vs. Vultr vs. Amazon Lightsail vs. SSD Nodes vs. Many Others
Whew! That's quite a tough headline to swallow. But choosing the right cloud hosting provider for your next virtual private server (VPS) shouldn't be difficult, too. Sometimes, it just comes down to price. Whether you're a cash-strapped student or just someone who wants to run a few essential applications without emptying our your wallet, you're in luck—there are a lot of low-cost options these days. That's why we're breaking down a bunch of 1GB RAM KVM plans in this new cloud hosting price comparison.
An unmanaged hosting service means that you have to install applications and administer the server yourself. KVM offers more flexibility than other options, like OpenVZ, but comes at a slight cost increase. Still, we recommend KVM for most users. At the very least, each of these providers offers Ubuntu, Debian, and CentOS. Read more...
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Brazil VPS Hosting: Quick & Inexpensive Virtual Private Servers
When it comes to finding quick and inexpensive Virtual Private Servers (VPS) hosting in Brazil, there are several providers you can consider. Here are a few options:

Hostinger: Hostinger offers VPS hosting with data centers in São Paulo, Brazil. They provide quick setup and competitive pricing for their VPS plans.
DigitalOcean: DigitalOcean has a data center in São Paulo, offering VPS hosting with SSD storage and a user-friendly interface for quick deployment.
Vultr: Vultr also has a presence in São Paulo and provides affordable VPS hosting with SSD storage, high-performance CPUs, and a range of data center locations globally.
Linode: Linode offers Brazil VPS hosting with a data center in São Paulo. They provide quick setup, SSD storage, and a variety of plans to choose from.
Amazon Web Services (AWS): AWS has a São Paulo region offering Elastic Compute Cloud (EC2) instances, which can be configured as VPS. While AWS may not always be the cheapest option, it provides scalability and reliability.
Before choosing a provider, consider factors such as server specifications, uptime guarantees, customer support quality, and scalability options. Additionally, make sure to check for any ongoing promotions or discounts that could help you save money on your VPS hosting.
#brazil windows vps#Brazil vps server pric#Best brazil vps server#buy vps server#Brazil vps price#VPS
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Investors in major U.S. technology companies are breathing a sigh of relief following a round of strong Q1 2025 earnings reports, which have helped ease concerns about a potential slowdown in the tech sector. These results arrive at a moment when the global economy is still grappling with shifting trade dynamics, elevated interest rates, and geopolitical uncertainty, particularly as the United States heads into another contentious election cycle. Speculation around a possible second Trump administration has fueled uncertainty about tariffs, cross-border data rules, and international supply chains. Despite these headwinds, the core fundamentals of the tech industry remain solid. Earnings from industry giants such as Amazon, Microsoft, Alphabet, and Meta painted a far more optimistic picture than many on Wall Street expected. Not only did most firms meet or beat analyst expectations, but they also demonstrated sustained demand in key segments like cloud computing, enterprise software, digital advertising, and personal computing. These areas are not only revenue generators but also serve as the backbone of modern internet infrastructure, enabling everything from small business websites and SaaS platforms to AI services and global e-commerce networks. The performance of these companies matters far beyond Silicon Valley. When Amazon reports growth in AWS or when Microsoft signals strong adoption of Azure and Office 365, it reverberates through the entire digital economy. Their strength signals that consumers and enterprises alike are continuing to invest in digital capabilities, despite inflationary pressures and uncertainty in other parts of the economy. That’s good news not only for shareholders but also for the thousands of smaller tech and infrastructure businesses that operate downstream. Even though Apple reported a rare miss and Tesla walked back some of its earlier bullish projections, the broader tech sector proved remarkably resilient. The Nasdaq 100 Index, which had struggled earlier in the year, has since posted a notable rebound as investor sentiment improves. Analysts had warned of a potential earnings recession in tech, but instead, the results have shown steady, if uneven, expansion. As Mark Luschini, Chief Investment Strategist at Janney Montgomery Scott, put it, many investors had entered this earnings season bracing for disappointment. Instead, what they got was a clear signal that key areas of the tech economy, particularly cloud infrastructure, AI, and productivity software, are still on a growth trajectory. This has helped shift the market mood from one of anxiety to one of cautious optimism. This uptick in confidence is especially relevant for industries like web hosting, VPS infrastructure, and independent service providers. The same trends driving growth at the top, cloud adoption, AI investment, and the expansion of the digital economy, are fueling demand for flexible, scalable infrastructure at all levels. For hosting providers, especially those operating within the LowEndBox ecosystem, the takeaway is clear: there is still strong market momentum to harness, and growth is very much on the table. 🔗 Why This Matters to the Hosting World What does Big Tech’s resilience have to do with web hosting, or more specifically, the LowEndBox and budget hosting ecosystem? Quite a lot. The hosting industry, especially the independent and low-cost provider segment, often feels the ripple effects of Big Tech trends. When large companies like Amazon, Microsoft, and Google report strong cloud and infrastructure growth, it usually signals that underlying demand for digital services is on the rise. This includes websites, apps, APIs, backend services, and more. GoDaddy, a leader among the "true hosters" announced Q1 2025 results that showed an impressive 8% annual revenue growth rate. Where the giants expand, smaller providers often benefit. Budget-friendly and agile hosts are well positioned to support users who are priced out of the big clouds or prefer simpler, more direct infrastructure solutions. 🧠 AI Investment and Infrastructure Demand One of the major themes this earnings season has been the sharp increase in capital spending on artificial intelligence infrastructure. Microsoft, Meta, and Alphabet have all indicated bigger investments in data center expansion, and Nvidia’s ongoing dominance in AI hardware continues to fuel billions in spending. This AI investment wave is having a direct effect on demand for compute, storage, and bandwidth. As a result, it is also stimulating growth in traditional hosting segments. Cloud GPU demand is pushing developers to look for cost-effective alternatives such as VPS and bare metal servers. A surge in AI-powered startups and SaaS tools is increasing the need for affordable backend hosting solutions. Even traditional shared hosting is getting a lift from AI websites, agents, and microservices. 🏗️ When the Giants Build, Everyone Else Gets Work When Amazon adds 20 new data centers, it triggers a chain reaction. Developers and startups spin up new services, migrate applications, and expand deployments. Many of these new users will not host exclusively with AWS. They will turn to smaller providers that offer competitive pricing, specific regional advantages, or a more personal touch. The momentum in Big Tech earnings provides clear confirmation that the digital economy is still expanding. In that expansion, independent hosting providers have a unique opportunity to grow. Those who offer lean pricing, quality support, or value-adds that large platforms do not, can capture this demand. 🧩 What This Means for LowEnd Hosts Right Now If you’re running a hosting business or planning to launch one in the LowEndBox ecosystem, here are a few key takeaways: Now is a good time to invest. Big Tech’s optimism signals underlying demand. If you have been waiting to deploy new hardware or upgrade services, consider moving forward. Specialization is key. Users are increasingly seeking out hosting providers with niche expertise such as privacy-focused setups, offshore locations, GPU capabilities, or ultra-light containers. Modern hosting is more than websites. Customers are deploying everything from backend APIs to scraping bots and dev environments. Market yourself as an infrastructure provider, not just a web host. Opportunity is up for grabs. With VC-funded hosts moving upstream and enterprise-focused, independent operators can attract users seeking value and control. ✅ Final Thoughts: Big Tech Sets the Tone, but Indie Hosts Still Have the Moves Big Tech’s strong Q1 2025 results are more than reassuring for investors. They are a signal to everyone working in infrastructure and hosting that digital growth remains alive and well. The positive momentum seen in cloud, software, and AI investment confirms that the need for servers, bandwidth, and platform support is far from declining. These developments are encouraging for providers of all sizes. The revenue and margin growth among hyperscalers validates the importance of infrastructure across industries. At the same time, these companies are not serving every use case. For every developer who signs up for AWS, there are dozens who are looking for a more manageable, transparent, and affordable hosting solution. That’s where the LowEndBox community, and LowEndTalk specifically, comes in. At LowEndBox, we continue to see growth from independent providers who offer practical, reliable infrastructure with no fluff. If you can stay lean, understand your customer base, and deliver on uptime and support, there has never been a better time to win market share. Big Tech may set the tempo, but independent hosts still have the flexibility to dance to their own beat. LowEndBox is a go-to resource for those seeking budget-friendly hosting solutions. This editorial focuses on syndicated news articles, delivering timely information and insights about web hosting, technology, and internet services that cater specifically to the LowEndBox community. With a wide range of topics covered, it serves as a comprehensive source of up-to-date content, helping users stay informed about the rapidly changing landscape of affordable hosting solutions. Read the full article
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VPS GPU là gì? Giải pháp mạnh mẽ cho nhu cầu tính toán chuyên sâu
Trong thời đại công nghệ số phát triển mạnh mẽ, nhu cầu xử lý các tác vụ nặng như render video, AI, deep learning, hoặc đào tạo mô hình học máy ngày càng gia tăng. Các tác vụ này đòi hỏi khả năng tính toán mạnh mẽ mà các loại VPS thông thường khó đáp ứng. Đây chính là lúc VPS GPU trở thành giải pháp tối ưu.
VPS GPU là gì?
VPS GPU (Virtual Private Server with Graphics Processing Unit) là một máy chủ ảo có tích hợp GPU chuyên dụng. Khác với VPS truyền thống chỉ sử dụng CPU cho xử lý, VPS GPU được trang bị thêm card đồ họa rời (GPU) để thực hiện các tác vụ đòi hỏi khả năng xử lý song song và đồ họa cao.
GPU có khả năng xử lý đồng thời hàng nghìn luồng dữ liệu, phù hợp với các công việc như:
Đào tạo mô hình AI, machine learning, deep learning
Render video, dựng phim, thiết kế đồ họa 3D
Chạy mô phỏng vật lý, tài chính
Khai thác tiền điện tử (crypto mining)
Lợi ích khi sử dụng VPS GPU
Hiệu suất vượt trội
Nhờ có GPU, VPS GPU giúp tăng hiệu suất xử lý gấp nhiều lần so với VPS truyền thống. Các tác vụ render video hay huấn luyện mô hình AI được xử lý nhanh chóng, tiết kiệm thời gian và chi phí.
Linh hoạt và mở rộng dễ dàng
Người dùng có thể dễ dàng nâng cấp cấu hình GPU theo nhu cầu sử dụng mà không cần thay đổi hạ tầng vật lý. Đây là ưu điểm nổi bật so với việc đầu tư máy chủ vật lý.
Tiết kiệm chi phí đầu tư
Việc sở hữu một máy trạm GPU chuyên dụng có thể tốn hàng chục đến hàng trăm triệu đồng. Trong khi đó, thuê VPS GPU theo tháng hoặc theo giờ sẽ tiết kiệm hơn nhiều mà vẫn đảm bảo hiệu năng.
Khả năng truy cập từ xa
Bạn có thể truy cập và làm việc với VPS GPU từ bất kỳ đâu, miễn có kết nối internet. Điều này rất phù hợp cho freelancer, nhóm phát triển phần mềm hoặc các dự án cộng tác từ xa.
Những ai nên sử dụng VPS GPU?
Lập trình viên AI, machine learning
Việc đào tạo mô hình học máy với lượng dữ liệu lớn rất cần GPU để tăng tốc. VPS GPU giúp các lập trình viên rút ngắn thời gian huấn luyện và thử nghiệm mô hình.
Nhà thiết kế đồ họa, dựng phim
Dựng video 4K, xử lý hiệu ứng phức tạp hay dựng mô hình 3D đều cần GPU mạnh. VPS GPU có thể hỗ trợ phần mềm như Blender, Adobe After Effects, DaVinci Resolve, v.v.
Game developer và streamer
Các nhà phát triển game cần môi trường có GPU để test hiệu năng hoặc render nhân vật, môi trường game. Ngoài ra, các streamer có thể dùng VPS GPU để encode và stream chất lượng cao.
Các tổ chức tài chính, nghiên cứu
Các tác vụ mô phỏng thị trường, mô hình rủi ro, hay nghiên cứu khoa học đều đòi hỏi xử lý tính toán cao. VPS GPU là giải pháp hiệu quả để chạy các mô phỏng lớn.
Những lưu ý khi chọn mua VPS GPU
Kiểm tra loại GPU
Không phải GPU nào cũng phù hợp cho mọi nhu cầu. Ví dụ:
NVIDIA Tesla, A100, V100: chuyên cho AI, HPC, deep learning
NVIDIA RTX 3090, 4090: phù hợp render, gaming, dựng phim
AMD Radeon: giá rẻ, dùng cho đồ họa cơ bản
Hãy chọn loại GPU phù hợp với mục đích sử dụng của bạn.
RAM và CPU đi kèm
GPU mạnh cần kết hợp với CPU và RAM đủ tốt để tránh tình trạng "thắt cổ chai". Hãy kiểm tra kỹ cấu hình tổng thể của VPS, không chỉ riêng GPU.
Dung lượng lưu trữ và tốc độ I/O
Nếu làm việc với file video, mô hình AI lớn, bạn cần dung lượng ổ đĩa cao và tốc độ đọc/ghi tốt, ưu tiên ổ SSD NVMe.
Hỗ trợ driver và phần mềm
Đảm bảo nhà cung cấp hỗ trợ cài đặt driver GPU đúng phiên bản, có thể cài CUDA, cuDNN hoặc các framework như TensorFlow, PyTorch...
Nhà cung cấp VPS GPU uy tín
Hiện nay có nhiều đơn vị trong và ngoài nước cung cấp dịch vụ VPS GPU. Một số tên tuổi nổi bật:
AWS EC2 (Amazon) – Hạ tầng mạnh, nhiều lựa chọn GPU nhưng chi phí cao
Google Cloud GPU – Dễ dùng, tích hợp nhiều công cụ AI
Azure NV Series – Tối ưu cho xử lý đồ họa, học máy
Vultr, Linode – Giá hợp lý, hỗ trợ GPU phổ thông
Nhà cung cấp trong nước – Một số đơn vị như Viettel IDC, BizFly Cloud, AZDIGI... cũng bắt đầu triển khai dịch vụ VPS GPU
Kết luận
VPS GPU đang trở thành giải pháp lý tưởng cho những ai cần hiệu năng xử lý cao mà không muốn đầu tư phần cứng đắt tiền. Từ các lập trình viên AI đến nhà làm phim, từ nhà nghiên cứu đến streamer, tất cả đều có thể tận dụng lợi thế mà VPS GPU mang lại.
Nếu bạn đang tìm kiếm một môi trường làm việc mạnh mẽ, linh hoạt, truy cập mọi nơi và chi phí tối ưu, VPS GPU chính là lựa chọn đáng để cân nhắc.
Thông tin chi tiết: https://vndata.vn/vps-gpu/
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Weather Delays Kuiper 1 Launch as Amazon’s Satellite Ambitions Continue to Expand
Source: cnbc.com
Stormy Skies Delay Launch of Kuiper 1 Mission
United Launch Alliance (ULA) was forced to scrub the scheduled launch of Amazon’s Kuiper 1 satellite mission due to unfavorable weather conditions off the coast of Florida. The mission, which would have seen ULA’s powerful Atlas 5 rocket lift off from Cape Canaveral carrying 27 Kuiper satellites, was delayed because of off-shore thunderstorms and strong winds. This launch marks the first full-scale deployment of Amazon’s satellite internet constellation, Project Kuiper, aimed at competing with SpaceX’s Starlink and Eutelsat’s OneWeb.
The 45th Weather Squadron had initially predicted a 55% chance of favorable conditions for the launch. However, increasing concerns over cumulus cloud development, strong liftoff winds, and isolated showers led to an 80% probability of weather violations during the launch window. Meteorologists indicated that a cold front and fast-moving showers would persist throughout the day, ultimately making the launch attempt unviable. A new launch date is currently under review.
ULA’s Launch Timeline and Amazon’s Deployment Plans
The Kuiper 1 Satellite mission—referred to as KA-01 by Amazon—marks the beginning of Amazon’s ambitious plan to deploy over 3,200 satellites in low Earth orbit. ULA is utilizing its most powerful Atlas 5 configuration (551), equipped with five Northrop Grumman solid rocket boosters. Amazon has already secured eight Atlas 5 rockets for these initial Kuiper launches.
In a recent media briefing, ULA CEO Tory Bruno said it is unlikely that all eight launches will occur within 2025, with the remainder likely spilling over into 2026. ULA is also preparing to transition some Kuiper missions to its next-generation Vulcan rocket, with a potential launch of 45 satellites scheduled for late summer. Additional Vulcan launches are lined up under the U.S. Space Force’s National Security Space Launch Phase 2 contract, including missions USSF-106 and USSF-87.
Bruno estimated ULA could conduct 11 to 13 missions by year-end, split between government and commercial clients like Amazon. These launches are expected to advance Project Kuiper toward its goal of reaching a critical satellite mass required to initiate service and generate revenue.
Project Kuiper’s Vision and Government Collaborations
Project Kuiper aims to deploy a constellation of 3,236 satellites across 98 orbital planes at altitudes ranging from 590 to 630 kilometers. Amazon has committed to beginning customer service once the first 578 satellites are operational, in accordance with Federal Communications Commission (FCC) regulations.
Amazon is taking a multifaceted approach to building Project Kuiper, developing the entire system in-house—from satellites and antennas to solar arrays and inter-satellite links. Rajeev Badyal, VP of Technology for Kuiper, emphasized the team’s dedication despite the complexity of the mission. Amazon previously launched two prototype satellites in October 2023 to test the system’s performance.
Beyond consumer and commercial services, Amazon is also targeting government clients. It has established Kuiper Government Solutions (KGS) LLC, a separate entity focused on secure and specialized communications for defense and public sector needs. KGS recently partnered with L3Harris Technologies to provide integrated solutions, combining Kuiper 1 satellite network with L3Harris’s tactical communication technologies. This collaboration is intended to deliver robust, interoperable systems for military, emergency response, and other government operations.
As Project Kuiper gains momentum, it stands poised to be a major player in the rapidly growing satellite internet sector.
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The Power of Amazon Web Services (AWS): A Detailed Guide for 2025
Amazon Web Services (AWS) is the leading cloud computing platform, providing a wide range of services that empower businesses to grow, innovate, and optimize operations efficiently. With an increasing demand for cloud-based solutions, AWS has become the backbone of modern enterprises, offering high-performance computing, storage, networking, and security solutions. Whether you are an IT professional, a business owner, or an aspiring cloud architect, understanding AWS can give you a competitive edge in the technology landscape.
In this blog we will guide and explore AWS fundamentals, key services, benefits, use cases, and future trends, helping you navigate the AWS ecosystem with confidence.
What is AWS?
Amazon Web Services (AWS) is a secure cloud computing platform that provides on-demand computing resources, storage, databases, machine learning, and networking solutions. AWS eliminates the need for physical infrastructure, enabling businesses to run applications and services seamlessly in a cost-effective manner.
With over 200 fully featured services, AWS powers startups, enterprises, and government organizations worldwide. Its flexibility, scalability, and pay-as-you-go pricing model make it a preferred choice for cloud adoption.
Key AWS Services You Must Know
AWS offers a vast range of services, categorized into various domains. Below are some essential AWS services that are widely used:
1. Compute Services
Amazon EC2 (Elastic Compute Cloud): Provides resizable virtual servers for running applications.
AWS Lambda: Enables serverless computing, allowing you to run code without provisioning or managing servers.
Amazon Lightsail: A simple virtual private server (VPS) for small applications and websites.
AWS Fargate: A serverless compute engine for containerized applications.
2. Storage Services
Amazon S3 (Simple Storage Service): Object storage solution for scalable data storage.
Amazon EBS (Elastic Block Store): Persistent block storage for EC2 instances.
Amazon Glacier: Low-cost archival storage for long-term data backup.
3. Database Services
Amazon RDS (Relational Database Service): Fully managed relational databases like MySQL, PostgreSQL, and SQL Server.
Amazon DynamoDB: NoSQL database for key-value and document storage.
Amazon Redshift: Data warehousing service for big data analytics.
4. Networking and Content Delivery
Amazon VPC (Virtual Private Cloud): Provides a secure and isolated network in AWS.
Amazon Route 53: Scalable domain name system (DNS) service.
AWS CloudFront: Content delivery network (CDN) for fast and secure content delivery.
5. Security and Identity Management
AWS IAM (Identity and Access Management): Provides secure access control to AWS resources.
AWS Shield: DDoS protection for applications.
AWS WAF (Web Application Firewall): Protects applications from web threats.
6. Machine Learning & AI
Amazon SageMaker: Builds, trains, and deploys machine learning models.
Amazon Rekognition: Image and video analysis using AI.
Amazon Polly: Converts text into speech using deep learning.
Benefits of Using AWS
1. Scalability and Flexibility
AWS enables businesses to scale their infrastructure dynamically, ensuring seamless performance even during peak demand periods.
2. Cost-Effectiveness
With AWS's pay-as-you-go pricing, businesses only pay for the resources they use, reducing unnecessary expenses.
3. High Availability and Reliability
AWS operates in multiple regions and availability zones, ensuring minimal downtime and high data redundancy.
4. Enhanced Security
AWS offers advanced security features, including encryption, identity management, and compliance tools, ensuring data protection.
5. Fast Deployment
With AWS, businesses can deploy applications quickly, reducing time-to-market and accelerating innovation.
Popular Use Cases of AWS
1. Web Hosting
AWS is widely used for hosting websites and applications with services like EC2, S3, and CloudFront.
2. Big Data Analytics
Enterprises leverage AWS services like Redshift and AWS Glue for data warehousing and ETL processes.
3. DevOps and CI/CD
AWS supports DevOps practices with services like AWS CodePipeline, CodeBuild, and CodeDeploy.
4. Machine Learning and AI
Organizations use AWS AI services like SageMaker for building intelligent applications.
5. IoT Applications
AWS IoT Core enables businesses to connect and manage IoT devices securely.
Future Trends in AWS and Cloud Computing
1. Serverless Computing Expansion
More businesses are adopting AWS Lambda and Fargate for running applications without managing servers.
2. Multi-Cloud and Hybrid Cloud Adoption
AWS Outposts and AWS Hybrid Cloud solutions are bridging the gap between on-premise and cloud environments.
3. AI and Machine Learning Growth
AWS continues to enhance AI capabilities, driving innovation in automation and data processing.
4. Edge Computing Development
AWS Wavelength and AWS Local Zones will expand the reach of cloud computing to edge devices.
Conclusion
Amazon Web Services (AWS) is transforming how businesses operate in the digital era, providing unmatched scalability, security, and performance. Whether you are an enterprise looking to migrate to the cloud, a developer building applications, or a data scientist leveraging AI, AWS has a solution to your needs.
By mastering AWS, you can explore new career opportunities and drive business innovation. Start your AWS journey today and explore the limitless possibilities of cloud computing.
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Journey Back to Private Datacenter from Cloud | Dropbox
Vanakkam all
In current world, companies are rushing towards switching their application from private datacenter(DC) to Cloud providers who provide various services including compute, networking, storage, security etc. The main reason for switching from DC to Cloud revolves around the DC cost, efficiency, scalability. But soon, will we be witnessing them migrating back from Cloud to Private Datacenter considering the unprecedented price hike, unused services, unused resources, confusion in service selection etc and also server manufacturers offering the hardware in smaller size, AI powered processors which occupies less space comparing to olden days.
Example | Dropbox
When we talk about moving back to DC due to unplanned cloud services usage and its effect on costing, there are several companies out there who have already moved back to their private DC or planning to move back as challenge to showcase that they can built an cost effective, efficient, planned DC on their own instead spending a huge budget on cloud Dropbox
In a well-publicized move, Dropbox decided to shift away from Amazon Web Services (AWS) to its own custom-built infrastructure. This decision was primarily motivated by the need to control costs and improve performance, as managing their massive amounts of data on AWS was becoming increasingly expensive.
“It was clear to us from the beginning that we’d have to build everything from scratch,” wroteDropbox infrastructure VP Akhil Gupta on his company blog in 2016, “since there’s nothing in the open source community that’s proven to work reliably at our scale. Few companies in the world have the same requirements for scale of storage as we do.”
Its the backward approach. Now, Dropbox has its own advanced AI driven Datacenters across. Their strategy on building a Datacenter is interesting and amazing. They have come up with their own checklist, stages, planning in acquiring a place before Datacenter is being officially set.
Interesting checklist | DC site selection process:
Dropbox before it stages a DC, it involves in following process
Site Selection Process
Power
Space
Cooling
Network
Security
Site Hazards
Operations & Engineering
Logistics
Rental rate
Utility rate
Rental escalator
Power usage effectiveness
Supporting Infrastructure Design
Expected cabinet weight with dimensions and expected quantity
Increased risk due to construction delays
Inadequate monitoring programs, which would not have provided the necessary facility alerts
With above all selection process, the team comes up with a Score card. Based on the score, they decide the site location and then work on the DC setup.
Large Vs Small DC space :
The technology advancement is moving towards having small servers, small rack rack space and facility to easily upgrade the hardware or enhance the existing hardware. We have providers who can help in hardware upgrade lease agreements.Consult our CubenSquare Experts for Migration :
Reach out to our experts for –
Move back to Private Datacenter setup
Compare existing Cloud pricing Vs DC setup and its pricing forecast
We understand your application, customer base, thought process and provide Cloud/DC solution
Cost optimization solution in existing Cloud
Summary : Probably, in next 5 years, we can see several companies moving back to private datacenters from cloud considering the temptation of using services which they don’t need, excessive usage of resources, lack of knowledge in choosing the right service resulting in enormous price hike
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Amazon says Alexa+ is 'agnostic model'
Amazon says that Alexa+, the new and improved Alexa discovered on Wednesday, is powered by a “agnostic” system that always uses the “best�� model of it for a particular task. On the scene at a New York City press event, Amazon VP Daniel Rausch explained that Alexa+ attracts to the Bedrock – the company’s cloud platform created to allow organizations to experiment with AI generating patterns – to…
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Amazon says Alexa+ is 'agnostic model'
Amazon says that Alexa+, the new and improved Alexa discovered on Wednesday, is powered by a “agnostic” system that always uses the “best” model of it for a particular task. On the scene at a New York City press event, Amazon VP Daniel Rausch explained that Alexa+ attracts to the Bedrock – the company’s cloud platform created to allow organizations to experiment with AI generating patterns – to…
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Amazon says that Alexa+ is ‘model agnostic’
Amazon says that the new and improved Alexa unveiled on Wednesday, Alexa+, is powered by a “model agnostic” system that’s always using the “best” AI model for any given task. Onstage at a press event in NYC, Amazon VP Daniel Rausch said that Alexa+ draws on Bedrock, Amazon’s cloud platform designed to let organizations experiment […] © 2024 TechCrunch. All rights reserved. For personal use…
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How to Optimize Website Loading Speed for Better User Engagement
How to Optimize Website Loading Speed for Better User Engagement
Introduction
Why website speed matters for user experience and engagement.
Impact on bounce rates, SEO rankings, and conversions.
Brief mention of tools to measure speed (Google PageSpeed Insights, Lighthouse, GTmetrix).
1. Measuring Website Performance
How to use Google PageSpeed Insights and interpret the results.
Importance of Core Web Vitals (Largest Contentful Paint, First Input Delay, Cumulative Layout Shift).
Using GTmetrix, Lighthouse, and WebPageTest for deeper insights.
2. Optimizing Images and Media
Use next-gen formats (WebP, AVIF) instead of PNG/JPEG.
Implement lazy loading (loading="lazy").
Compress images using tools like TinyPNG, ImageOptim.
Serve responsive images with srcset for different screen sizes.
3. Minimizing HTTP Requests
Reduce the number of external scripts, fonts, and stylesheets.
Combine CSS and JavaScript files where possible.
Use icon fonts or SVGs instead of multiple image icons.
4. Implementing Efficient Caching
Enable browser caching using .htaccess or response headers.
Use a Content Delivery Network (CDN) to serve assets globally (Cloudflare, Amazon CloudFront).
Optimize caching rules for static content (CSS, JS, images).
5. Reducing JavaScript and CSS Blocking
Minify JavaScript and CSS using Terser, UglifyJS, or CSSNano.
Defer or asynchronously load JavaScript (async and defer attributes).
Remove unused CSS with tools like PurifyCSS or UnCSS.
6. Optimizing Server Performance
Upgrade to faster hosting (VPS, Cloud Hosting, or Managed WordPress hosting).
Enable Gzip or Brotli compression to reduce file sizes.
Implement HTTP/2 or HTTP/3 for faster multiplexed connections.
7. Database Optimization
Optimize database queries and indexes for better efficiency.
Use caching mechanisms like Redis or Memcached.
Regularly clean up unused data, revisions, and logs in CMS platforms like WordPress.
8. Mobile Performance Optimization
Ensure responsive design and mobile-friendly assets.
Minimize heavy animations and background videos on mobile.
Optimize touch interactions and reduce excessive scripts.
9. Using a Content Delivery Network (CDN)
Distribute assets through a CDN to load content from the nearest server.
Popular CDN providers: Cloudflare, AWS CloudFront, Fastly, Akamai.
Reducing Time to First Byte (TTFB) by leveraging edge servers.
10. Continuous Monitoring & Testing
Set up performance monitoring with Google Lighthouse, WebPageTest.
A/B test different optimizations and measure impact.
Use New Relic, Datadog, or Pingdom for real-time monitoring.
Conclusion
Recap the most effective strategies.
How website speed directly influences user engagement, conversions, and SEO.
Encourage regular testing and updates to maintain fast performance.
WEBSITE: https://www.ficusoft.in/web-designing-training-in-chennai/
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Công Nghệ Hiện Đại: Ứng Dụng VPS GPU Trong Machine Learning và AI
Trong kỷ nguyên số hóa hiện nay, công nghệ đang phát triển nhanh chóng và sâu rộng, đặc biệt là trong lĩnh vực trí tuệ nhân tạo (AI) và học máy (Machine Learning). Những tiến bộ này đã thay đổi cách chúng ta sống, làm việc, và tương tác với thế giới xung quanh. Tuy nhiên, để chạy các ứng dụng AI và Machine Learning, yêu cầu về phần cứng và tài nguyên máy tính cũng ngày càng trở nên khắt khe hơn. Đó là lý do tại sao việc sử dụng VPS GPU trở nên vô cùng quan trọng, mang lại hiệu suất cao và tối ưu cho các tác vụ này.
Tại sao AI và Machine Learning cần tới phần cứng chuyên dụng?
AI và Machine Learning yêu cầu các tính toán phức tạp, bao gồm việc xử lý dữ liệu lớn, đào tạo mô hình, và chạy các thuật toán học sâu (Deep Learning). Những nhiệm vụ này đòi hỏi tài nguyên máy tính mạnh mẽ, đặc biệt là các GPU (Graphics Processing Unit), do chúng có khả năng xử lý các phép tính song song với tốc độ cao hơn nhiều so với CPU (Central Processing Unit) truyền thống.
Các GPU được thiết kế để xử lý đồng thời hàng nghìn luồng dữ liệu, điều này cực kỳ hữu ích khi làm việc với các mô hình học máy phức tạp và đòi hỏi lượng lớn tính toán ma trận. Chính vì vậy, để tối ưu hóa việc đào tạo mô hình AI và Machine Learning, sử dụng các máy chủ với GPU chuyên dụng trở thành một giải pháp lý tưởng.
VPS GPU: Giải pháp tối ưu cho AI và Machine Learning
VPS GPU (Virtual Private Server với Graphics Processing Unit) là một loại máy chủ ảo được trang bị GPU mạnh mẽ, cung cấp một môi trường lý tưởng cho các ứng dụng AI và Machine Learning. Đây là giải pháp tuyệt vời cho những ai muốn khai thác sức mạnh của GPU mà không cần đầu tư vào phần cứng đắt tiền.
Một số lợi ích của việc sử dụng VPS GPU bao gồm:
Hiệu suất cao: VPS GPU cung cấp khả năng xử lý vượt trội, giúp tăng tốc quá trình đào tạo và chạy mô hình Machine Learning. Thay vì mất nhiều giờ hoặc thậm chí nhiều ngày để đào tạo mô hình, bạn có thể rút ngắn thời gian xuống còn vài phút hoặc vài giờ.
Tiết kiệm chi phí: So với việc đầu tư vào một bộ PC chuyên dụng với GPU mạnh mẽ, sử dụng VPS GPU tiết kiệm hơn nhiều. Bạn chỉ phải trả tiền cho tài nguyên mà bạn sử dụng, không cần chi trả cho các khoản chi phí bảo trì hay nâng cấp phần cứng.
Dễ dàng mở rộng: Với VPS GPU, bạn có thể dễ dàng mở rộng tài nguyên khi cần thiết. Khi nhu cầu xử lý tăng lên, bạn chỉ cần nâng cấp gói VPS mà không cần thay đổi phần cứng. Điều này giúp bạn linh hoạt hơn trong việc quản lý tài nguyên và tối ưu hóa chi phí.
Độ tin cậy cao: Các nhà cung cấp VPS GPU uy tín thường có hệ thống hạ tầng mạnh mẽ, đảm bảo thời gian hoạt động (uptime) cao, giúp duy trì sự ổn định và độ tin cậy cho các ứng dụng AI và Machine Learning của bạn.
Ứng dụng thực tế của VPS GPU trong Machine Learning và AI
VPS GPU được sử dụng rộng rãi trong nhiều lĩnh vực ứng dụng của AI và Machine Learning, bao gồm:
Xử lý ảnh và video: Các mô hình học sâu trong xử lý ảnh và video đòi hỏi sức mạnh tính toán lớn để thực hiện các tác vụ như nhận diện khuôn mặt, phân loại hình ảnh, và phân tích video.
Xử lý ngôn ngữ tự nhiên (NLP): Các mô hình NLP như GPT-4 hay BERT cần một lượng lớn tài nguyên để xử lý và phân tích dữ liệu văn bản. VPS GPU giúp tăng tốc quá trình đào tạo và triển khai các mô hình NLP này.
Phân tích dữ liệu lớn: Trong lĩnh vực tài chính, y tế, hay thương mại điện tử, VPS GPU được sử dụng để phân tích dữ liệu lớn, giúp dự đoán xu hướng và ra quyết định chính xác.
Đào tạo mô hình AI: VPS GPU cho phép các nhà nghiên cứu và nhà phát triển AI đào tạo các mô hình học sâu với hiệu suất cao, từ đó cải thiện chất lượng dự đoán và đưa ra các kết quả chính xác hơn.
Lựa chọn VPS GPU tốt nhất cho dự án của bạn
Khi lựa chọn VPS GPU, bạn cần xem xét các yếu tố như cấu hình GPU, dung lượng RAM, ổ cứng, và băng thông mạng để đảm bảo rằng chúng đáp ứng được yêu cầu của các ứng dụng AI và Machine Learning của bạn. Một số nhà cung cấp VPS GPU nổi tiếng hiện nay bao gồm AWS (Amazon Web Services), Google Cloud, Microsoft Azure, và một số nhà cung cấp chuyên dụng khác.
Kết luận
Trong thời đại mà AI và Machine Learning đóng vai trò ngày càng quan trọng, việc đầu tư vào một nền tảng VPS GPU chất lượng sẽ giúp bạn tối ưu hóa hiệu suất làm việc, tiết kiệm chi phí và linh hoạt trong quá trình phát triển các ứng dụng thông minh. Nếu bạn đang tìm kiếm một giải pháp hiệu quả cho dự án AI và Machine Learning của mình, VPS GPU chắc chắn là một lựa chọn hàng đầu mà bạn không thể bỏ qua.
Xem thêm: https://vndata.vn/vps-gpu-ung-dung-cho-machine-learning-va-ai/
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A2A e Amazon Web Services: siglato memorandum su Intelligenza artificiale generativa e Cloud computing
28/06/2024 | Milano Milano – 28 giugno 2024 – Un’intesa basata su una visione condivisa di innovazione e sostenibilità: queste le premesse del Memorandum d’Intesa (MoU), siglato oggi da Renato Mazzoncini, Amministratore Delegato di A2A, con Julien Groues, VP e General Manager Europe South di Amazon Web Services (AWS), che prevede programmi concreti e investimenti sostanziali dedicati allo…
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