NVIDIA Unveils NVHBM Memory To Turbocharge AI Chip Speeds By 30%
NVIDIA's NVHBM is a new memory technology that partners can license, offering improved efficiency and performance over standard HBM.
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AI Chip Architectures
A look at AI Chip Architectures. NVIDIA, AMD, TPUs, Trainium, Groq, Cerebras.
NVIDIA Is Secretly Acquiring Massive Dark Fiber Capacity Across The US, With Total Bandwidth Potentially Reaching An Unbelievable 7.6…
NVIDIA's dark fiber gambit across the United States appears to be its ultimate insurance policy against the rise of ASICs.
A Complete Deep Dive of NVIDIA DWDM Co-Packaged Optics for Scaling beyond 200Gbps
Key physics constraints and architecture challenges for scaling data rates in DWDM - ring modulator physics, clocking, CW-DFB Laser, and package integration
Nvidia's Nemotron 3 Ultra becomes the smartest open US model, but China still leads
According to benchmark platform Artificial Analysis, Nvidia's new Nemotron 3 Ultra is the most capable open AI model from the US to date.
NVIDIA cancels Rubin CPX, partners with Groq for LPU | Illia Kasian posted on the topic | LinkedIn
why did NVIDIA cancel the Rubin CPX and replace it with a Groq LPU? LLM inference has two phases. prefill processes the whole prompt at once and is compute-bound. decode generates one token at a time and is memory-bound, reading the full model weights and KV cache for every…
Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy
Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be retrofitted onto existing models in hours.
NVIDIA Rubin Is The Most Advanced AI Platform On The Planet: Up To 50 PFLOPs With HBM4, Vera CPU With 88 Olympus Cores, And Delivers 5x…
NVIDIA is formally announcing its Rubin AI platform today which will be the heart of next-gen Data Centers, with a 5x upgrade over Blackwell.
Another Giant Leap: The Rubin CPX Specialized Accelerator & Rack
Nvidia announced the Rubin CPX, a solution that is specifically designed to be optimized for the prefill phase, with the single-die Rubin CPX heavily emphasizing compute FLOPS over memory bandwidth…
NVIDIA Unveils Its Newest ‘Rubin CPX’ AI GPUs, Featuring 128 GB GDDR7 Memory & Targeted …
NVIDIA has surprisingly unveiled a rather 'new class' of AI GPUs, featuring the Rubin CPX AI chip that offers immense inferencing power.
NVIDIA Blackwell Ultra “GB300” GPU, The Fastest AI Chip, Detailed: Dual Reticle GPU With Ove…
NVIDIA has provided an in-depth look at its fastest chip for AI, the Blackwell GB300, which is 50% faster than GB200 & packs 288 GB memory.
Nvidia just dropped a new AI model that crushes OpenAI’s GPT-4—no big launch, just big results
Nvidia quietly launched a groundbreaking AI model that surpasses OpenAI’s GPT-4 and Anthropic’s Claude 3.5, signaling a major shift in the competitive landscape of artificial intelligence.
18.04 Screen remains blank after wake up from suspend - Ask Ubuntu
So, when I suspend my laptop, then wake it up later, my laptop does turn on, I'm able to, for example, turn up and down the volume with audio confirmation using the kepboard, but my screen remains ...
How to Accelerate Signal Processing in Python
This post is the seventh installment of the series of articles on the RAPIDS ecosystem. The series explores and discusses various aspects of RAPIDS that allow its users solve ETL (Extract, Transform…
State of the art NLP at scale with RAPIDS, HuggingFace and Dask
See how to build end-to-end NLP pipelines in a fast and scalable way on GPUs — from feature engineering to inference.
Using RAPIDS with PyTorch
In this post we take a look at how to use cuDF, the RAPIDS dataframe library, to do some of the preprocessing steps required to get the mortgage data in a format that PyTorch can process so that we…
Beginner’s Guide to Querying Data Using SQL on GPUs in Python
Historically speaking, processing large amounts of structured data has been the domain of relational databases. Databases, consisting of tables that can be joined together or aggregated…
Python Pandas Tutorial – Beginner’s Guide to GPU Accelerated DataFrames for
This series on the RAPIDS ecosystem explores the various aspects that enable you to solve extract, transform, load (ETL) problems, build machine learning (ML) and deep learning (DL) models…
RAPIDS cuDF Unified Memory Accelerates pandas up to 30x on Large Datasets
NVIDIA has released RAPIDS cuDF unified memory and text data processing features that help data scientists continue to use pandas when working with larger and text-heavy datasets in demanding…