d-Matrix Blog
Featured
The Complete Recipe to Unlock AI Reasoning at Enterprise Scale
February 13, 2025
Finding the middle ground: how smaller models will unlock the next wave of AI
Delivering high-quality AI-powered applications historically relied on massive models. That came with significant scaling limitations, as deploying models with more than 100B parameters and maximizing toke generation doesn’t scale up without losing latency… Read More
January 27, 2026
The power of the middle lane: why a hybridized approach to memory gives the best of both worlds
Using what’s on hand: spare data center space is an untapped gold mine
Batching just right: how interactive apps serve as a new battleground
Why modern AI workloads demand a disaggregated approach
d-Matrix and Alchip Announce Collaboration on World’s First 3D DRAM Solution to Supercharge AI Inference
d-Matrix and Andes Team on World’s Highest Performing, Most Efficient Accelerator for AI Inference at Scale
Trending
How to Bridge Speed and Scale: Redefining AI Inference with Ultra-Low Latency Batched Throughput
Blazing the Trail Toward More Scalable, Affordable AI with 3DIMC
Transforming AI: d-Matrix’s Pivotal Moments in Pursuit of Gen AI Inference At Scale
What is AI Inference and why it matters in the age of Generative AI
Why Datacenters are struggling to keep up with Generative AI
Featured Video
The DeepSeek Moment
In this short talk, d-Matrix CTO Sudeep Bhoja discusses the release of the Deep Seek R1 model, highlighting its impact on inference compute. He discusses the evolution of reasoning models and the significance of inference time compute in enhancing model performance.
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