Official X handle for AMD server processors and platforms. Need help? Visit our Community Support forums: bit.ly/AMDServer_
Austin, TX
Joined September 2007
- Tweets 5,243
- Following 1,009
- Followers 52,393
- Likes 2,211
AWS has announced the general availability of its new Amazon EC2 R8a memory-optimized instances, powered by 5th Gen AMD EPYC processors with clock speeds up to 4.5 GHz.
This means more speed and efficiency at a lower total cost of ownership, without having to change their cloud architecture.
Read more from @AWS: go.aws/47wMThq
AMD EPYC retweeted
🚀 Introducing New Range Scale Servers!
⚡ Experience flexible infrastructure with adjustable CPU, RAM, and storage. Powered by up to 192 AMD EPYC™ “Zen 5” cores and advanced liquid cooling, handle demanding workloads effortlessly. Enjoy fast connectivity and seamless integration.
Elevate your cloud experience: ow.ly/rYLv50Xle4S
AMD EPYC retweeted
Supermicro announces its new 6U MicroBlade® systems powered by @AMD EPYC™ 4005 CPUs, delivering ultra-high density, extending Supermicro's efficient, scalable, and cost-optimized multi-node solutions.
Read the full press release: hubs.la/Q03PYdYp0
#Supermicro #AMD
Choosing the right server CPU for databases in 2025 isn’t just about performance—it’s about licensing, efficiency, and long-term value.
AMD EPYC processors are engineered to balance core counts, cache, and clock speeds, helping organizations optimize both performance and cost. Learn how these choices can turn licensing from a burden into a strategic advantage.
Dive deeper with @ServeTheHome. bit.ly/3KzI27p
AWS is launching its 5th AMD-powered instance family in five years: the new M8a general-purpose instances built on 5th Gen AMD EPYC processors.
Designed for applications needing balanced compute, memory, and networking, M8a instances deliver up to double-digit performance gains over the prior generation, with faster memory, storage, and networking capabilities.
See how customers like Netflix and HCLTech are using EPYC processors to drive scalability, efficiency, and advanced features to support everything from machine learning to data analytics: amd.com/en/blogs/2025/epyc-o…
For enterprises, optimizing data center strategy isn’t just about adding more cores, it’s about maximizing the value of each one.
High-frequency processors open new opportunities to reduce complexity, improve efficiency, and align infrastructure with long-term business goals. Read more from our latest blog ➡️ bit.ly/4mNRRNe
Linux 6.18 To More Reliably Handle 255+ vCPUs On @AMDServer EPYC Servers
phoronix.com/news/Linux-6.18…
Microsoft Azure just raised the bar with new Dasv7, Easv7, and Fasv7 VMs powered by 5th Gen AMD EPYC processors.
What does this mean for customers?
🔷 Up to 35% more performance for real workloads like Java, web, and in-memory cache.
🔷 Lower licensing costs with constrained-core options.
🔷 Greater efficiency at scale with higher IOPS and memory bandwidth.
Enterprises now have the flexibility to do more with less, accelerating critical apps, managing costs, and future-proofing infrastructure. Find more details from Microsoft: bit.ly/4mfmPN7
5th Gen AMD EPYC processors deliver the power AI inference needs: consolidation, performance, efficiency & security 🚀.
Smarter, faster, more secure AI starts here. 👉
Enterprises are under pressure to do more with less, while staying agile and sustainable.
That’s why Mission, a CDW Company, is collaborating with AMD to deliver cost-efficient, high-performance cloud solutions with AMD EPYC CPU-powered Amazon AWS EC2 instances.
Learn more to see how we're helping enterprise customers to optimize cloud spending, streamline migrations, and achieve their sustainability goals in the link: prn.to/4mA37fy
With the right CPU strategy, enterprises can reduce bottlenecks and maximize node efficiency, helping GPUs perform at their best.
See how strategic CPU integration can help unlock the full potential of your GPU infrastructure.
No matter where your databases run — at the edge, on premises, or in the cloud — AMD EPYC CPUs give you the speed and performance needed to deliver insights faster while consolidating data center space and helping reduce energy costs and consumption.
When deploying AI, hardware requirements vary based on the specific workload and performance demands. In many scenarios, CPUs can deliver sufficient compute for AI inference tasks.
Swipe through to see examples of AI workloads where CPUs provide a viable alternative.
Ensuring data security and privacy throughout database operations is critical.
Built-in security features in AMD EPYC CPUs can help without adding costs or code.
Simpler security is just one reason to choose AMD for database workloads on-prem and in the cloud.
AI-powered decision-making can’t wait for slow analytics results.
AMD EPYC CPUs give you a choice of high-frequency CPUs for high-speed transactions and high-core-count CPUs for high-volume, parallel workloads — all with built-in security capabilities.
AI isn’t slowing down, neither should your infrastructure. 5th Gen AMD EPYC processors enable smarter, faster, more efficient inference to power the future.⚡
Check out 5 reasons why AMD EPYC CPUs are the best option for AI inference. bit.ly/4kH2hh1
The @AMD EPYC 9575F CPUs For GPU/AI Servers Show Leading Performance In Benchmarks
A look at @AMDServer EPYC Turin performance for GPU/AI compute on two @Supermicro servers.
phoronix.com/review/amd-epyc…
When it comes to databases, speed is your friend. High-frequency AMD EPYC CPUs run faster, which can lift performance and help you take control of database license costs. We break down how speed can help you lower software fees in our latest blog. bit.ly/4mNRRNe
AI inference is where data becomes insight. It’s not just about models, it’s about turning queries into human-like reasoning that drives smarter decisions. 🤖
bit.ly/4kH2hh1
The future of AI lies in inference: turning queries into intelligence, and data into action that scales innovation 🎯
Scroll through for a deeper dive into the benefits of AI Inference. bit.ly/4kH2hh1
