Here are the 10 Best AI Server Makers to watch this year:

• sz-xtt

• NVIDIA

• Supermicro

• Dell

• HPE

• Lenovo

• Cerebras

• AWS

• Intel

• Meta

AI servers are used in labs and big companies. They work with huge amounts of data. They make deep learning faster. They help companies grow bigger. The global AI server market is worth $128 billion in 2024. It will get bigger quickly. Top makers use new technology. They have strong performance. They make a big impact on the market. Choosing the right AI server maker is important. It matters for research teams, startups, and cloud providers.

Önemli Çıkarımlar

• AI servers help manage big data and make deep learning faster. They are very important for research teams and companies.

• Picking the best AI server maker changes how well things work. It also affects the help you get. You should look at new ideas, trust, and customer service.

• The best AI server makers like NVIDIA and sz-xtt have strong choices. They make different models for many business needs. Some are simple, and some are very advanced.

• Saving energy and growing bigger are big trends in AI servers. These help companies spend less money and handle more work.

• Buyers need to think about what they need most. This can be speed, help, or saving energy. This helps them pick the best AI server maker for their work.

Best AI Server Makers Overview

Top 10 Makers List

Many people want to know who is best in Yapay zeka sunucuları. Here are the Best AI Server Makers to watch this year:

1. sz-xtt

2. NVIDIA

3. Supermicro

4. Dell

5. HPE

6. Lenovo

7. Cerebras

8. AWS

9. Intel

10. Meta

These companies help shape how AI grows. They make servers for research, business, and cloud work. Each company has something special. sz-xtt has many high-performance AI servers. NVIDIA is known for its advanced GPUs. Supermicro and Dell focus on being reliable and helpful. HPE and Lenovo have big networks around the world. Cerebras uses unique hardware to do more. AWS is a leader in cloud AI servers. Intel and Meta bring new ideas to processors and infrastructure.

Selection Criteria

Picking the Best AI Server Makers needs careful thinking. Experts check many things. Here is a table that shows what matters most:

People want servers that match what they need. They look for new ideas, strong performance, and good support. The Best AI Server Makers are special because they do these things well.

NVIDIA

Temel Özellikler

NVIDIA stands out as a leader in the AI server world. They offer powerful solutions that help companies handle big AI projects. Many people know NVIDIA for their advanced GPUs, but their Yapay zeka sunucuları bring even more to the table. Here are some key features that make NVIDIA servers special:

• DGX Cloud gives users access to AI supercomputers as a service. Each cluster comes with DGX servers that use 8× H100 GPUs. This setup helps teams train large AI models quickly.

• NVIDIA servers work smoothly with their own AI software tools. These include NeMo for language models, CUDA for computing, and Triton for model serving. This makes it easier for developers to build and run AI applications.

• NVIDIA offers strong support for businesses. Their engineers help companies set up and manage large AI projects. This support makes a big difference for teams that want to move fast.

• The Blackwell GPU microarchitecture brings a huge boost in speed and energy savings. It runs 2.5 times faster and uses 25 times less energy than older models. This helps with scientific computing, quantum research, and data analytics.

NVIDIA keeps pushing the limits of what AI servers can do. Their technology helps companies stay ahead in a fast-changing market.

Market Impact

NVIDIA has changed the AI server market in a big way. Their RTX PRO Servers, built on the new RTX PRO 6000 Blackwell Server Edition GPU, give companies more power and flexibility. This means businesses can create and launch new AI tools faster than before.

NVIDIA’s influence shows in their numbers. In 2022, they reached about $26.9 billion in revenue. This growth comes from high demand for AI solutions in many industries. Their advanced GPUs, like the A100 and H100, help them stay on top.

Many big names trust NVIDIA. Companies like Disney, Foxconn, and Hyundai Motor Group use NVIDIA RTX PRO Servers to boost their AI work. This trend shows a shift from old data centers to new AI-focused systems. NVIDIA’s leadership makes them one of the Best AI Server Makers to watch this year.

sz-xtt

AI Server Models

sz-xtt stands out as a top choice for businesses that want reliable Yapay zeka sunucuları. They offer a wide range of models that fit many needs, from entry-level setups to high-end machines. Each model comes with strong hardware and advanced features. Here’s a quick look at some popular options:

These models give users many choices. Some want a simple server for small projects. Others need a powerful machine for big data and deep learning.

Performance & Flexibility

sz-xtt designs its servers to handle tough jobs. They make sure each server can grow as a company’s needs change. Here are some ways sz-xtt shows strong performance and flexibility:

• Servers scale up easily when power needs increase.

• Fast, low-latency networks move data quickly.

• Private clouds help keep things running smoothly and support hybrid setups.

• Users can add more GPUs and memory as AI jobs get bigger.

• Servers work well with popular tools like TensorFlow and PyTorch.

• Real-time resource monitoring helps keep everything running at top speed.

These features help companies stay ready for new AI challenges.

Customer Support

sz-xtt cares about customer satisfaction. Their support team helps users pick the right server for their needs. They answer questions and give advice on setup and upgrades. Many customers like the quick help they get. This focus on service makes sz-xtt a favorite among the Best AI Server Makers.

Supermicro

GPU-Optimized Servers

Supermicro is popular with companies that need strong AI servers. Their GPU-optimized servers help with deep learning and big data. These servers use GPUs to do many jobs at the same time. CPUs handle control tasks, but GPUs do most of the hard work for AI. Supermicro adds fast memory and storage so everything works well together. This helps teams train AI models faster and use big datasets.

People like Supermicro because they can choose the right size. The servers come in sizes from 1U to 4U. Each server can be changed to fit what a business needs. Supermicro uses good parts, so the servers last long and work well under stress.

Here’s why Supermicro GPU servers are special:

High-Density Solutions

Supermicro also makes high-density servers. These servers have a lot of power in a small space. They help companies save room in their data centers. High-density servers use less energy because they share cooling and power. This means lower costs and less harm to the environment.

These servers use multi-core processors and GPU acceleration. They can do hard AI jobs without slowing down. The modular design lets you add more servers as the company grows. It is easy to fix or upgrade parts when needed.

Many people pick Supermicro for their high-density servers. They want to save space and money. Supermicro’s focus on strong performance and saving energy makes them one of the Best AI Server Makers this year.

Dell Technologies

AI-Ready Servers

Dell Technologies makes AI-ready servers for all kinds of businesses. These servers can do many AI jobs, from easy ones to deep learning. Dell uses new multi-core processors. This helps data move fast and apps run well. Their servers use special cooling, like air and liquid systems. This keeps everything cool and saves money.

Here’s why Dell’s AI-ready servers are special:

Dell lets companies start small and grow bigger. Their servers fit many needs. Teams can choose what works best for them. This flexibility helps Dell stay a top AI Server Maker.

Support & Reliability

Dell Technologies knows support and reliability are important for AI work. They use smart cooling tools, like the Integrated Rack Controller. This keeps servers running during hard jobs. Their special infrastructure helps companies set up and grow AI solutions easily.

Dell also gives professional services. Their team runs AI pilots so businesses can see results before spending lots of money. This builds trust and helps customers feel sure.

• Dell works with NVIDIA. This partnership gives users new technology for important jobs.

• Dell’s support team is ready to help with setup, upgrades, and questions.

Dell’s focus on support and reliability keeps customers happy and working well. Many businesses trust Dell when they need servers that work every day.

HPE

Enterprise Solutions

HPE is known for its strong enterprise solutions in AI servers. They help companies build smart systems for big data and hard jobs. Many businesses pick HPE because their servers work well and can grow. The AI Factory Initiative puts everything together. It includes compute, storage, networking, and management software. This makes it simple for teams to start and run AI projects.

HPE works with NVIDIA. This partnership gives companies the newest AI technology. Teams get powerful GPUs and advanced tools to make AI faster. HPE’s solutions work for many fields, like healthcare and finance.

Here’s a quick look at what HPE gives:

Tip: HPE’s enterprise solutions let companies start small and grow big without changing everything.

Services & Ecosystem

HPE does more than just sell servers. They help customers at every step. Their team knows a lot about AI. They help companies find what they need and use AI to fix real problems. HPE has a big partner ecosystem. It connects businesses with the right tools and support for any AI project.

Ongoing support and training are important. HPE stays with customers after they buy. They help with updates, fixes, and new ideas. This keeps AI systems working well and helps teams learn new things.

Here’s how HPE’s services and ecosystem help:

Many people think HPE is one of the Best AI Server Makers because they do more than just sell hardware. They give companies the tools, support, and partners needed to do well with AI.

Lenovo

AI Server Portfolio

Lenovo has many AI server choices. Their lineup includes the Lenovo Hybrid AI 221 platform and Lenovo Validated Designs. These solutions help both small and big businesses. Lenovo knows that each business is different. Some companies need big AI factories for hard model training. Others want smaller solutions that give fast answers.

Lenovo Validated Designs are special because they are tested before use. They are made to work well for certain industries. Lenovo mixes its hardware with software from partners like VMware and Intel. This makes it simple for companies to start and run AI projects. Businesses do not have to use the same setup as everyone else. They can choose what fits their needs best.

Note: Lenovo’s AI servers help teams start AI projects faster and safer. People can trust these servers to work well for their jobs.

Global Reach

Lenovo is found all over the world. They help millions of customers in 180 markets. This means businesses can buy Lenovo AI servers almost anywhere. Lenovo also works with many partners to give support close by.

Here is a quick look at Lenovo’s global reach:

Lenovo is a leader in hybrid AI. They bring new ideas to the market. Their solutions make AI easier for everyone. Many companies get more work done with Lenovo’s AI servers. This strong support around the world keeps Lenovo as one of the Best AI Server Makers.

Cerebras Systems

Unique AI Hardware

Cerebras Systems makes Yapay zeka sunucuları that are different from others. Their hardware is not like the usual GPU-based systems. They use something called the Wafer Scale Engine (WSE). This is the biggest processor ever made for AI. It has four trillion transistors and can do up to 125 petaflops. This chip helps people train and run AI models much faster.

Bu CS-3 System is another cool thing from Cerebras. It is made for big AI jobs. It uses less power and takes up less room than normal GPU systems. Many teams pick Cerebras because they want better speed and smaller servers in their data centers.

Deep Learning Focus

Cerebras Systems cares a lot about deep learning. They want to make AI training faster and easier for everyone. Their AI Model Studio lets users use the Wafer-Scale Cluster in the cloud. This means people can train very big models with long sequences, up to 50,000 tokens. Most other systems cannot do this.

“Our mission at Cerebras is to broaden access to deep learning and rapidly accelerate the performance of AI workloads. The Cerebras AI Model Studio makes this easy and dead simple – just load your dataset and run a script.”

Many researchers and companies use Cerebras to train GPT-class models in less than one day. The system is made for AI jobs, so it gives more speed while using less space and power.

• The Cerebras AI Model Studio lets people use the Wafer-Scale Cluster in the cloud.

• Users can train models with longer sequences, up to 50,000 tokens.

• The system is made for AI jobs, giving more speed with less space and power.

“We are really excited to offer our enterprise, research and academic customers easy, affordable access to the leading CS-2 accelerator to train GPT-class models in less than one day.”

Cerebras Systems is special among the Best AI Server Makers because they help teams do more with deep learning.

AWS

Bulut Yapay Zeka Sunucuları

AWS lets companies use AI in the cloud. They do not need to buy or set up hardware. AWS takes care of updates and setup for users. This helps teams start fast and keep things working well. Some features make AWS popular for AI work:

• Natural Language Processing (NLP) lets people use simple English with AI tools.

• Task automation does boring jobs so people save time.

• AWS gives advice to make systems faster and fix issues.

• Security and compliance stay strong with AWS Identity and Access Management (IAM).

• AWS is fully managed, so users do not worry about hardware or software.

• Teams can use Amazon Bedrock and SageMaker to build and train AI models.

• AWS supports private regions, so companies keep data safe in their own centers.

Many people who are not tech experts can use AWS. They do not need special computer skills. AWS helps find and fix network or app problems. This makes AWS a top pick among the Best AI Server Makers.

Ölçeklenebilirlik

AWS is great because it grows with a company’s needs. Teams can begin small and add more power as they grow. AWS uses smart tools to manage resources and keep things running well. Here is how AWS helps with scalability for AI jobs:

• Managed endpoints on SageMaker let users deploy models and change size.

• EKS deployments use HPA and KEDA to adjust resources when needed.

• AWS keeps model parts separate, so updates are quick.

• Traffic management uses blue/green and region-aware routing to keep apps online during changes.

• Shadow tests check new models before they go live.

• Cost controls help match spending with how much power is needed.

AWS makes it easy for companies to handle both small and big AI jobs. Teams can trust AWS to keep their systems fast and working well, no matter how much they grow.

Intel

AI Processors

Intel is always working to make better AI server technology. They have many kinds of AI processors for different jobs. Many companies pick Intel because they want strong and flexible servers. Here are some types of AI processors that Intel makes for servers:

• CPUs with AI features help machine learning go faster.

• Discrete AI chips, like GPUs and FPGAs, add more power for deep learning and data work.

• Special AI chips, such as NPUs and TPUs, do certain AI jobs very well.

These choices help companies find the best processor for their needs. Some teams use CPUs for all their work. Others need special chips for big AI jobs. Intel has something for both groups.

Tip: Intel’s processors work with popular AI frameworks like TensorFlow and PyTorch. This helps developers start their projects easily.

Hardware Innovations

Intel is known for making new and smart hardware for AI servers. They build new chips and systems that use less energy but do more work. The Crescent Island GPU is one example. It is made for real-time AI inference and uses Xe3P microarchitecture. This GPU works fast and has 160GB of LPDDR5X memory. It can handle lots of data at once.

Intel’s Xeon 6 processors are also a big improvement. These chips are made for AI jobs. They help companies finish AI tasks faster and save energy. Xeon 6 lets companies use fewer servers for the same work. This saves money and space in data centers.

Here are some important hardware innovations from Intel:

• Chiplet architectures let chip parts work together. This makes chips faster and cheaper.

• MRDIMM technology moves data quickly, so AI jobs do not slow down.

• NPUs in Core Ultra chips help hybrid AI run better.

Intel cares about saving energy and making smart designs. This helps companies grow their AI projects. Many businesses trust Intel for strong and reliable AI servers.

Meta

AI Infrastructure

Meta builds some of the biggest AI systems in the world. Their setup helps with huge machine learning projects, like training large language models. Meta’s team uses thousands of GPUs and fast networks to keep their AI running well. Last year, Meta had 24,000 GPUs for LLaMA 3. Now, they have over 100,000 GPUs for LLaMA 4. That is a 100 times increase since 2023. This big jump lets Meta train smarter and bigger AI models.

Here are the main parts of Meta’s AI setup:

Meta’s system lets teams move data fast and train models easily. They use tools like PyTorch and TensorFlow. These tools help developers try new ideas quickly.

Research & Development

Meta spends a lot of money on research and development to make AI better. They build bigger AI clusters every year. These clusters help train new language models. Meta also works with other companies to fix hard problems in AI training. They want to stop delays and finish jobs on time.

Here are some ways Meta leads in research and development:

• Meta built two clusters with 24,000 H100 GPUs each. They use these to test new network ideas and support bigger models.

• Their main AI cluster now has 129,000 H100 GPUs. This gives them a lot of computer power.

• Meta makes custom silicon to help hardware and software work better together.

• They invest in memory disaggregation and high-bandwidth memory. This helps with bigger AI jobs.

• Meta supports open standards and open source software. This makes it easier for developers to use different hardware.

• They share open weight models. This lets more people build on their work and make AI better.

Meta’s focus on research and sharing tools helps everyone in AI. Their work makes it easier for people to build, train, and use strong AI models.

Trends & Recommendations

Market Trends

Bu Yapay zeka sunucusu market is changing quickly. Companies want servers that work better and use less energy. Here are some big trends happening now:

• Many companies use application-specific integrated circuits (ASICs) made for AI. These chips save power and make AI jobs faster.

• Google’s Tensor Processing Units (TPUs) show how smart design can make machine learning quicker and cheaper.

• New AI servers split up jobs and move data in better ways. This helps teams finish their work faster.

• Energy-saving parts and advanced cooling systems keep servers cool and use less electricity.

• Modular upgrades let businesses add new parts without buying a whole new server.

These trends help companies save money and get more done. They also make it easier for teams to grow their AI projects.

Buyer Tips

Picking the right AI server maker can be hard. Each company is good at different things. The table below shows how some top makers compare and who might like each one best:

Tip: Buyers should think about what matters most—speed, energy savings, support, or cost. For example, sz-xtt has many AI servers, like the 4U AI Server with 8x GPU Support, H6237 AI Server, and TG series, which fit many business needs. Teams can ask for help picking the right model.

Every company wants something different. Some want the fastest servers. Others care more about saving energy or getting good support. Looking at these features helps buyers pick the best one for their team.

These 10 companies are top leaders in the AI server market. Each one is good at something special. Dell has many types of servers and helps customers a lot. HPE is great at supercomputing and making servers that can grow. Lenovo lets people pay in different ways and always has parts ready. Cisco uses its network skills to make servers that work well. sz-xtt makes strong servers for many kinds of businesses. People should think about what they need and pick the company that fits best. Watch for new AI server features and changes in the market to get the best results.

SSS

Yapay zeka sunucusu nedir?

An AI server is a strong computer made for AI jobs. It has special hardware like GPUs to handle lots of data fast. Companies use AI servers for machine learning, deep learning, and data analytics.

How do I choose the right AI server maker?

Buyers should check how well the server works, how good the support is, and if it can change as needs grow. Some companies, like sz-xtt, have many models for different jobs. For more information, see sz-xtt’s AI server products.

Why do businesses need GPU support in AI servers?

GPUs help AI servers work much faster than normal CPUs. This speed is needed for training hard models. Many top brands, like sz-xtt, sell servers with more than one GPU for better results.

Can I upgrade my AI server later?

Yes, many AI servers let you add more GPUs, memory, or storage when you need it. For example, sz-xtt’s TG series can grow to fit small or big projects.

Where can I get help with setup or support?

Most top AI server makers have teams to help you. sz-xtt gives expert advice and quick help for setup or upgrades. You can reach them on their support page.