@Mastercard
, @Revolut
, and @Adyen use NVIDIA-powered transaction foundation models to decode user behavior, outsmart financial crime and boost fraud detection by 20%. Learn more: https://
nvda.ws/474Nub2
AI HARDWARE
-
NVIDIA Foundation Models Boost Financial Fraud Detection Twenty Percent
By
–
-
IBM NVIDIA Accelerate Data Processing with AI cuDF Technology
By
–
.@IBM and NVIDIA are reinventing data processing for the era of AI.
— NVIDIA AI (@NVIDIAAI) 19 mars 2026
By accelerating IBM with NVIDIA cuDF, @Nestle is seeing transformative results:
✅5x faster data workloads
✅83% lower costs
In a massive logistics network, "faster" means responding in minutes.
The next… pic.twitter.com/SDLTnehzYA.
@IBM and NVIDIA are reinventing data processing for the era of AI. By accelerating IBM with NVIDIA cuDF, @Nestle is seeing transformative results: 5x faster data workloads
83% lower costs In a massive logistics network, "faster" means responding in minutes. The next -
DLSS 5 Adoption: GPU Features and Game Developer Fallbacks
By
–
I think we’re a while out from that right? High end gpu feature so I don’t see game devs designing with dlss 5 as the default without a graceful fallback
-
Matching Inference Engines to GPUs and Model Architectures
By
–
Each inference engine must implement the model architecture & its tool calling Getting a model to run correctly isn’t trivial, many parts are still inconsistent/broken Set the right baseline: match the GPUs, the inference engine for those GPUs & right inference engine for model
-
TensorRT-LLM Optimized for DGX Spark: Inference Engines Matter
By
–
Inference Engines have different optimizations for different hardware Most optimized for DGX Spark: TensorRT-LLM Inference Engines MATTER and they are NOT EQUAL (e.g. blogpost below) Opensource models ARE NOT just a memory size issue BTW
-
Nvidia Robot OS, Navy Deals, Visual Memory Breakthroughs
By
–
Top stories in robotics today: – Nvidia wants to be the OS of every robot
– Gecko Robotics lands $71M U.S. Navy deal
– Ex-Meta engineers give robots visual memory
– Robot dogs guard billion-dollar AI data centers
– Quick hits on other robotics news -
DGX Spark vs RTX PRO 6000 Memory Bandwidth: Why Tool Choice Matters
By
–
DGX Spark uses unified memory > 273 GB/s RTX PRO 6000 delivers > 1.8 TB/s (1792 GB/s) If someone told you they’re comparable, they’re wrong And this is exactly why llama.cpp isn’t the right tool here Try vLLM or SGLang on a GPU and you’ll see very different results
-
NVIDIA GTC Booth: Dell and Nebiusai Partnership Showcase
By
–
TGI(almost)F. It's day four of @NVIDIAGTC – time really does fly. We'll be at the booth starting at 11am – come meet the team and learn more about our @Dell and @nebiusai partnerships!
-
Building AI Superpower Requires Complete Stack Infrastructure
By
–
You don’t become an AI superpower by writing clever code.
— Nina Schick (@NinaDSchick) 19 mars 2026
You need the entire stack — from industrial base to compute infrastructure, to models and real-world deployment. Software alone won’t cut it.
At the foundation: energy, materials, manufacturing. Then comes the engine —… pic.twitter.com/62SaoVh65uYou don’t become an AI superpower by writing clever code. You need the entire stack — from industrial base to compute infrastructure, to models and real-world deployment. Software alone won’t cut it. At the foundation: energy, materials, manufacturing. Then comes the engine —
-
AI 3D Generation Breakthrough at GDC2026
By
–
AI 3D generation just had a watershed moment at #GDC2026. While the show floor was packed with hype, the real revolution was quietly running live at the @Tripoai booth. Here’s what most ppl missed ↓