WEKA

💥 Epic WEKA updates coming out of NVIDIA #GTC25! 1️⃣ WEKA is integrating with the newly unveiled NVIDIA AI Data Platform to provide optimized AI infrastructure for the future of agentic AI and reasoning models. 2️⃣ We've unveiled WEKA Augmented Memory Grid— a revolutionary new capability that integrates with NVIDIA to accelerate AI inference, maximize the number of tokens processed per second, and dramatically increase token efficiency. 3️⃣ Finally, WEKA has achieved certification as a high-performance data store for NVIDIA GB200 deployments, supporting NVIDIA Cloud Partners (NCP). There’s a lot to get caught up on, so get started with a full breakdown of all the WEKA news: https://weka.ly/3XZGRC1

👕 Let’s face it: Shift happens. And when it does, we've got you covered. If you're at #GTC25 this week, stop by our booth to learn how WEKA can help you navigate all the twists and turns of AI. And if you need any help finding us on the show floor, just keep an eye out for those purple Shift Happens shirts! https://weka.ly/3Fy8aNu

🚀 WEKA’s new certification for the NVIDIA GB200 (Blackwell) platform is a major step forward in the fundamentally different world of AI, where together we can help NVIDIA Cloud Partners (NCPs) shift from basic model training to the rapidly emerging requirements of sophisticated inference and reasoning. Our expanded partnership combines Blackwell’s ultra-high-speed communication, immense memory bandwidth, and unparalleled compute power with WEKA’s super-fast, massively scalable data infrastructure so that NCPs building AI clouds, GPU-as-a-service, and other neo cloud offerings can keep up with the ever-increasing data volumes these solutions demand. The future of AI infrastructure is happening live at #GTC25. Check out our blog for more: https://weka.ly/4hiCetM

🪜 When you’re at #GTC25, you don’t hit a wall – you scale it. WEKA’s Augmented Memory Grid will integrate with NVIDIA Triton Server to deliver microsecond latency that dramatically lowers token costs and accelerates inference pipeline – resulting in up to a 41x 🤯 reduction in time to first token (TTFT). This means you can optimize your inference infrastructure without over-provisioning GPUs so you can overcome the dreaded memory wall. Find out more in our blog: https://weka.ly/3FCWpp3

⚽ AI is in constant evolution, and one of the most critical advancements has been RAG (retrieval-augmented generation), a robust alternative to traditional fine-tuning that moves the ball forward for the development of large-language models (LLMs). Our AI expert Mike Bloom coaches you on why RAG is so valuable in the latest episode of WEKA’s “AI Demystified” video series. Watch it on YouTube now: https://weka.ly/4i5P9jX But wait, there’s more! If you’re attending #GTC25 this week, don’t miss Mike’s special theater session Wednesday, March 19 at 3:20 p.m., where he’ll draw up the blueprints you need for deploying RAG applications: https://weka.ly/4204zPM

🛫 You might have just landed in San Jose, but it’s wheels up for #GTC25! Can’t wait to see you for an exciting week of AI innovation. See you at the show! https://weka.ly/4ks8uxr

🎉 Is it #GTC25 week already?! We’re excited for a great show in San Jose, and we can’t wait to see you. Be sure to check out our session guide for all the ways WEKA can help you prepare for the future of AI 👇 https://weka.ly/43QCsoI

🏠 Multitenancy is a great real estate decision – and when you're providing AI cloud services, it’s a business imperative. WEKA’s Composable Clusters is helping cloud service providers reframe how they operate, soundproofing tenants from one another while delivering exceptional performance and lowering costs at scale. Review your new lease here: https://weka.ly/43KGoHC

🔥 Just like your favorite sports car, WEKA’s S3 interface is a force to be reckoned with, leaving other object storage options in the dust with the speed, scalability, and efficiency demanded by today’s AI workloads. Get the glossy brochure for your new, purpose-built AI ride here: https://weka.ly/4hzBXTe

❗ Retrieval-augmented generation (RAG) has many advantages, but here’s one that’s super important: Its ability to cite the sources of retrieved information. This is huge for developing AI environments that require extremely high levels of trust like law, healthcare, and academia. Learn more about RAG from WEKA’s Mike Bloom in the newest episode of our “AI Demystified” video series. Watch now on YouTube: https://weka.ly/41sn1Ah