AMD Data Center: powering AI, HPC and cloud with EPYC CPUs, Instinct GPUs, Pensando DPUs and open software. Support: https://xitter.cf/t.co/n7RQqScsfT
Austin, TX
Joined September 2007
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Agentic AI demands 5 to 30x more tokens per task than a standard query (Gartner).
Yousuf Khan, CVP of NTSG at AMD, explains how the DPU takes on networking, security, and storage work so CPU resources stay focused on AI workloads. Read more: bit.ly/4jpsNgY
AMD Data Center retweeted
Nunchux is now listed in @AMD 's AI Inference Engines & Services ecosystem!
We've been doing a lot of work on AMD Instinct GPUs to make multimodal inference faster and more efficient. Excited to keep pushing this forward with AMD @AMDServer .
amd.com/en/ecosystem/isv/dat…
1,536 GPUs. Approximately 20 trillion tokens trained. Training runs lasting up to 72 hours.
Swipe through the results behind @ZyphraAI’s ZAYA1-8B reasoning model, trained from scratch on a full-stack AMD AI platform.
See how AMD Instinct GPUs, AMD ROCm software and AMD Pensando Pollara networking came together at scale: bit.ly/4ixfdaB
AMD Data Center retweeted
AI workloads are evolving faster than traditional AI networking.
AMD AI NIC technology helps organizations innovate at the pace of AI with fully programmable hardware and software, supporting AI-ready Network Transport Protocols like UEC-ready RDMA, MRC, and MetaRoCE.
Learn more: bit.ly/4BbwaP1
AMD Data Center retweeted
We’re onsite at @OpenComputePrj’s 2026 Global Summit!
@LisaSu is taking the keynote stage to share how AMD is building the next era of AI infrastructure. Follow our thread for live highlights from her #OCPSummit26 keynote. 🧵
Evaluate whether your data center infrastructure is ready to support AI workloads and where modernization can help you scale.
Grounded in AMD's expertise in AI infrastructure, this personalized assessment helps you understand how prepared your data center is to support AI today. It also identifies opportunities to strengthen your foundation as demands grow.
Take the assessment: readiness.amd.com/
Inside AMD Helios: Engineering AI at Rack Scale.
Join Andrew Dieckmann, Steve Scott and Alan Smith for a fireside chat at #OCPSummit26.
📅 Oct. 12 | 12:50 p.m. PT
📍 SJCC - Concourse Level, 210AE
View the agenda: 2026ocpglobal.fnvirtual.app/…
Production AI takes collaboration across the stack.
For @character_ai, AMD Instinct™ GPUs and ROCm™ software were paired with hands-on engineering from AMD and @digitalocean across model kernels, infrastructure and production optimization.
Character․ai put it simply: “This allowed us to transition our serving stack without having to reinvent our approach.”
AMD Data Center retweeted
Future-ready servers are here.
Meet HPE ProLiant Gen13 Servers, powered by 6th Gen @AMD EPYC™ Server processors, with automatic security, intelligent ops, and breakthrough performance.
Generation after generation, HPE and AMD are helping enterprises modernize for what’s next.
As AI scales, network performance can directly impact GPU efficiency.
AI networking helps keep workloads synchronized and running smoothly at scale.
Missed our blog “What is AI Networking?” Read it here: amd.com/en/blogs/2026/what-i…
AI infrastructure needs software that evolves alongside the hardware.
Elio Van Puyvelde, CEO and founder of Eliovp, shares how his team uses AMD ROCm software, to optimize workloads across generations of AMD Instinct GPUs.
Hear why software optimization is a critical part of the data center AI stack.
It’s that moment when technology translates into real outcomes that keeps teams building, learning and pushing what’s possible.
Hear Elio Van Puyvelde, CEO and founder of Eliovp, share the excitement of building and training tailored models on AMD hardware, putting them into production and seeing customers experience the results firsthand.
AMD Data Center retweeted
From per-core strength to enterprise and cloud-native performance.
Across enterprise and cloud-native testing, AMD EPYC 9996 delivers 2.4x to 3.7x performance gains.
See the full performance story: bit.ly/4AkQ7SN
AMD Data Center retweeted
At data-center scale, performance has to work within real limits around power, cooling and space.
6th Gen AMD EPYC processors are designed to turn those constraints into more productive rack-level performance.
See how the architecture scales from processor to rack: bit.ly/4AkQ7SN
AMD Data Center retweeted
5s of video, generated in 1.3s!
Nunchux brings @MiniMax’s MiniMax-H3 to @AMD MI355X with up to 26.7× faster inference than SGLang on 8 GPUs @AMDServer
And with streaming generation, you can change the prompt as the video plays, steering what happens next.
One stack, optimized across hardware.
Free access to MiniMax-H3 is coming soon! Join the waitlist now at nunchux.ai.
Our blog: nunchux.ai/blog/video-genera…
#AI #VideoGeneration #MiniMaxH3
AI infrastructure will change. The question is how much has to change with it.
Compute, networking, servers and other layers evolve on different timelines. Designing those layers to evolve independently can give organizations greater flexibility to adapt without rebuilding everything around them.
Explore how infrastructure designed for flexibility can evolve one layer at a time: bit.ly/4xtDkek
AMD Data Center retweeted
Agentic AI brings multiple CPU roles into one evolving workflow. 6th Gen AMD EPYC helps customers optimize for each task, with flexibility for what comes next.
See how "Venice" supports the diverse performance demands of agentic AI, from latency-sensitive work to highly concurrent workloads: bit.ly/4jbuxdo
Windows Server 2025 delivers modern security, but many features depend on the hardware beneath it.
AMD EPYC 4005 Server CPUs help small businesses and remote offices/branch offices get the most from their upgrade, with security from silicon to OS. Read the blog to see why. bit.ly/4gwgu0l
ALT Digital poster featuring floating code and circuit diagrams. Text reads: "Modern Security from Silicon to OS: Why SMBs Should Move Beyond Windows Server 2016, Read the News." AMD logo at the bottom.
AMD Data Center retweeted
The biggest AI infrastructure challenge is not predicting what comes next but being ready to adapt as workloads evolve.
AMD Executive Vice President & GM of the Data Center Solutions Group Forrest Norrod shares why a broad compute portfolio and common software foundation can help organizations match workloads to the right compute today, then reshape their deployments as requirements change.
Learn how to build AI infrastructure ready to adapt to whatever comes next: bit.ly/4xtDkek
ALT A server rack filled with computing hardware labeled with AMD's logo. Text on the image reads: "Read the news. Building infrastructure for an AI world in motion."
AMD Data Center retweeted
Inference is moving fast, and AMD is providing the infrastructure needed to deliver at scale.
Setting a new MLPerf record with 5.75M tokens/sec at 512-GPU scale, our broadest submission yet provides another proof point for performance, scale, software maturity and reproducibility.
Read more about the results: bit.ly/4hdWnDr
