Inside the AMD Radeon Instinct MI300A's Giant Memory Subsystem
AMD acquired ATI in 2006, hoping ATI's GPU expertise would combine with AMD's CPU know-how to create integrated solutions worth more than the sum of their parts.
gpus
Apple-Nvidia collaboration speeds up AI model production
Apple's latest machine learning research could make creating models for Apple Intelligence faster, by coming up with a technique to almost triple the rate of generating tokens when using Nvidia GPUs.
Intel Arc B580 "Battlemage" GPU Leak Confirms 12 GB Memory, Custom Models With Standard Power Connectors, Up To 2.8 GHz Clocks
Intel's first Arc B580 GPUs based on the Xe2 "Battlemage" architecture have been leaked & they look quite compelling.
HPC Gets A Reconfigurable Dataflow Engine To Take On CPUs And GPUs
No matter how elegant and clever the design is for a compute engine, the difficulty and cost of moving existing – and sometimes very old – code from the
NVIDIA To Ship 150K-200K Blackwell GB200 AI Servers In Q4 2024 Alone & 500-550K Units In Q1 2025, Microsoft Being The Leading Buyer
NVIDIA's Blackwell AI servers to witness a massive shipment volume in Q4 2024, with Microsoft being the most "aggressive" acquirer.
Tenstorrent Launches Wormhole AI Processors: 466 FP8 TFLOPS at 300W
Meet Warp: A Python Framework for Writing High-Performance Simulation and G
Speed and efficiency are crucial in computer graphics and simulation. It can be challenging to create high-performance simulations that can run smoothly on various hardware setups. Traditional methods can be slow and may not fully utilize the power of modern graphics processing…
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-preci
Attention, as a core layer of the ubiquitous Transformer architecture, is a bottleneck for large language models and long-context applications. FlashAttention (and FlashAttention-2) pioneered an approach to speed up attention on GPUs by minimizing memory reads/writes, and is now…
AMD’s Instinct MI300X AI Throughput Performance & Latency Improved By 7x Wi
Nscale has tested AMD's flagship Instinct MI300X AI accelerator utilizing the GEMM tuning framework, achieving 7x faster performance.
Nvidia Conquers Latest AI Tests
GPU maker tops new MLPerf benchmarks on graph neural nets and LLM fine-tuning
AMD Announces Instinct MI325X Today, CDNA4 To Come
A New Annual Cadence for ML
How To Make More Money Renting A GPU Than Nvidia Makes Selling It
It is not a coincidence that the companies that got the most “Hopper” H100 allocations from Nvidia in 2023 were also the hyperscalers and cloud builders,
Biden has brought the ban hammer down on US export of AI chips to China
Datacenter GPUs and some consumer cards now exceed performance limits
Intel preps export-friendly lower-power Gaudi 3 AI chips made for China
Beijing will be thrilled by this nerfed silicon
Los Alamos Pushes The Memory Wall With “Venado” Supercomputer
Today is the ribbon-cutting ceremony for the “Venado” supercomputer, which was hinted at back in April 2021 when Nvidia announced its plans for its first
Intel’s “Gaudi 3” AI accelerator chip may give Nvidia’s H100 a run for its
Intel claims 50% more speed when running AI language models vs. the market leader.
Nvidia Blackwell Perf TCO Analysis - B100 vs B200 vs GB200NVL72
GPT-4 Profitability, Cost, Inference Simulator, Parallelism Explained, Performance TCO Modeling In Large & Small Model Inference and Training
How To Build A Better “Blackwell” GPU Than Nvidia Did
While a lot of people focus on the floating point and integer processing architectures of various kinds of compute engines, we are spending more and more
AMD ROCm Going Open-Source: Will Include Software Stack & Hardware Document
AMD plans to open-source portions of its ROCm software stack and hardware documentation in a future update to refine its ecosystem.
Lenovo Shows Huge Optimism Towards AMD’s Instinct MI300X AI Accelerators
Lenovo, the firm emerging as a driving force behind AI computing, has expressed tremendous optimism about AMD's Instinct MI300X accelerator.
How Nvidia Blackwell Systems Attack 1 Trillion Parameter AI Models
We like datacenter compute engines here at The Next Platform, but as the name implies, what we really like are platforms – how compute, storage,
AMD Quietly Funded A Drop-In CUDA Implementation Built On ROCm: It's Now Op
While there have been efforts by AMD over the years to make it easier to port codebases targeting NVIDIA's CUDA API to run atop HIP/ROCm, it still requires work on the part of developers.
Nvidia’s Big Tech Rivals Put Their Own A.I. Chips on the Table - The New Yo
Chafing at their dependence, Amazon, Google, Meta and Microsoft are racing to cut into Nvidia’s dominant share of the market.
How AMD May Get Across the CUDA Moat
When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically...
AMD’s Radeon Instinct MI210: GCN Lives On
AMD, Nvidia, and Intel have all diverged their GPU architectures to separately optimize for compute and graphics.
Installation — Triton documentation
Introducing Triton: Open-source GPU programming for neural networks
We’re releasing Triton 1.0, an open-source Python-like programming language which enables researchers with no CUDA experience to write highly efficient GPU code—most of the time on par with what an expert would be able to produce.
Calculate Computational Efficiency of Deep Learning Models with FLOPs and M
In this article we will learn about its definition, differences and how to calculate FLOPs and MACs using Python packages.
AI Capacity Constraints - CoWoS and HBM Supply Chain
Quarterly Ramp for Nvidia, Broadcom, Google, AMD, AMD Embedded (Xilinx), Amazon, Marvell, Microsoft, Alchip, Alibaba T-Head, ZTE Sanechips, Samsung, Micron, and SK Hynix
Micron to Introduce GDDR7 Memory in 1H 2024
GDDR7 is getting closer, says Micron.
Micron Announces GDDR7 for GPUs Coming in First Half of 2024
Though it'll arrive just in time for mid-cycle refresh from AMD, Nvidia, and Intel, it's unclear if there will be any takers just yet.
AI Server Cost Analysis – Memory Is The Biggest Loser
Micron $MU looks very weak in AI
AMD Expands AI/HPC Product Lineup With Flagship GPU-only Instinct Mi300X wi
The Third Time Charm Of AMD’s Instinct GPU
The great thing about the Cambrian explosion in compute that has been forced by the end of Dennard scaling of clock frequencies and Moore’s Law lowering
AMD’s RX 7600: Small RDNA 3 Appears
Editor’s Note (6/14/2023): We have a new article that reevaluates the cache latency of Navi 31, so please refer to that article for some new latency data.
The Case for Running AI on CPUs Isn’t Dead Yet
GPUs may dominate, but CPUs could be perfect for smaller AI models
Google dives into the ‘supercomputer’ game by knitting together purpose-bui
Google's new machines combine Nvidia H100 GPUs with Google’s high-speed interconnections for AI tasks like training very large language models.
Wtf is a kdf? | blog.dataparty
Earlier this week a letter from an activist imprisoned in France was posted to the internet. Contained within Ivan Alococo’s dispatch from the Villepinte prison
Nvidia Tackles Chipmaking Process, Claims 40X Speed Up with cuLitho
Faster masks, less power.
Towards a Benchmarking Suite for Kernel Tuners
As computing system become more complex, it is becoming harder for programmers to keep their codes optimized as the hardware gets updated. Autotuners try to alleviate this by hiding as many archite…
Meet the $10,000 Nvidia chip powering the race for A.I.
The $10,000 Nvidia A100has become one of the most critical tools in the artificial intelligence industry,
Hacker News
Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget.
CUDA Toolkit 12.0 Released for General Availability
NVIDIA announces the newest CUDA Toolkit software release, 12.0. This release is the first major release in many years and it focuses on new programming models and CUDA application acceleration…
How to Accelerate your PyTorch GPU Training with XLA
The Power of PyTorch/XLA and how Amazon SageMaker Training Compiler Simplifies its use
New Video Gives Us One More Reason to Never Buy a Used Mining GPU
A new video making the rounds purports to show Vietnamese crypto miners preparing used GPUs for resale by blasting them with a pressure washer.
Nvidia Research Plots A Course To Multiple Multichip GPU Engines
There are two types of packaging that represent the future of computing, and both will have validity in certain domains: Wafer scale integration and
GPUCC - An Open-Source GPGPU Compiler
3D Stacking Could Boost GPU Machine Learning
Nvidia has staked its growth in the datacenter on machine learning. Over the past few years, the company has rolled out features in its GPUs aimed neural
How FPGAs Can Take On GPUs And Knights Landing
Nallatech doesn't make FPGAs, but it does have several decades of experience turning FPGAs into devices and systems that companies can deploy to solve
Analysis and Comparison of Performance and Power Consumption of Neural Netw
In this work, we analyze the performance of neural networks on a variety of heterogenous platforms. We strive to find the best platform in terms of raw benchmark performance, performance per watt a…