New information on AI and Machine Learning
While many eyes, including mine, were on CES this week, today, I wanted to talk about a tech announcement that may have flown under the radar in the run-up to the holidays. I’ve been following Synaptics for some time now and watched it progress from Synaptics 1.0 (PC trackpads, etc.) to 2.0 (mobile, fingerprint readers) …
Synaptics Unsheathes New Katana Low Power Edge AI Platform Read More »
For the last two years, in January, I have published my predictions about the new AI silicon I expect in the coming year. Like the weatherman, I’ve gotten some details wrong but I’ve been reasonably accurate, at least directionally. So, here we go again with a look at likely 2021 advancements and possible failures. I …
One would think, or hope, that a startup shipping its second-generation AI chips and software stack would be content to have over $200M in the bank to fund future development and market penetration. For UK AI startup Graphcore, that is a lot of money. When you are a darling in a fast-growing land grab, though, …
More than ever, organizations are adopting artificial intelligence (AI) to bring efficiency, productivity gains, and a return on investment. In these uncertain times, AI is a powerful differentiator for companies of all sizes to transform digitally. In recent years, the cloud has become integral in advancing AI as vendors offering years of research and tools …
AI Is More Than A Buzzword And Being Deployed Now On Ships And Golf Carts Read More »
Product Lifecycle Management offerings have helped companies manage their product lifecycles for decades, reducing costs, improving quality and making customers happy. Surprisingly, though, such a process is not in place for the silicon chips used in almost everything these days. While the semiconductor industry has matured on many fronts, producing vast quantities of faster, cheaper …
Never Heard Of Silicon Lifecycle Management? Join The Club. Read More »
AWS’s annual re:Invent conference this year included big news from CEO Andy Jassy and AI VP Swami Sivasubramanian. AWS launched two new hardware platforms for AI and significantly expanded its SageMaker software to simplify running AI models on AWS at maximum performance. When I look at the breadth of AI software, the depth of AI …
More than ever, organizations are adopting artificial intelligence (AI) to bring efficiency, productivity gains, and a return on investment. In these uncertain times, AI is a powerful differentiator for companies of all sizes to transform digitally. In recent years, the cloud has become integral in advancing AI as vendors offering years of research and tools …
AI Is More Than A Buzzword And Being Deployed Now On Ships And Golf Carts Read More »
There’s been a lot of news lately on the AI chip front, so I wanted to share a short synopsis of what has been happening for anyone who may be distracted by the holidays. I will flesh these stories out further before my annual Cambrian AI Explosion blog in January here on Forbes. Let’s start with the …
Qualcomm announced the first shipments of the Cloud AI 100 family of products, thus entering the data center, cloud edge, edge appliance and 5G infrastructure markets for accelerated artificial intelligence (AI) processing. Qualcomm has demonstrated its AI and power-efficiency capabilities for many years with the Snapdragon family of SoCs for mobile, networking and embedded markets. …
RESEARCH PAPER: Qualcomm: A New Force In Cloud AI Read More »
There is a lot of buzz in the technology sector around AI and 5G and their transformative potential. What is interesting about both technologies is that they are universally applicable across many industries and are likely to change the way many of them operate. For that matter, each technology has its own set of use …
5G And AI: Complementary Technologies Now And Into The Future Read More »
When the only company you can beat is yourself, what do you do? After all, you are the leader, right? And nobody else is even suited up and on the court. Some companies might rest on their laurels, saving money and slowing down R&D. NVIDIA is not one of those companies. Two years ago, the …
There’s no way around it—as 2020 draws close to an end, machine learning (ML) is hot and getting hotter. Heavy hitters and startups alike have gotten into the game to compete with NVIDIA and its formidable GPUs. The competition includes Google (with its TPUs), AMD (who recently announced the intention to acquire Xilinx and its …
AWS Inferentia Gathers More Steam With Alexa, Snap, Anthem, And Conde Nast Read More »
Today AMD announced its first data center GPU to compete in high-performance computing (HPC) and Artificial Intelligence (AI). Last year, the company announced that it would bifurcate its GPU technology into two architectures: CDNA for computation and RDNA for graphics. This approach is now coming to fruition and should allow the company to optimize chips …
AMD Goes After NVIDIA With New GPU For The Datacenter Read More »
Lenovo Tech World 2020, scheduled for Oct. 28-29, brought together several Lenovo events, including an event for partners. Conferences, often timed with product announcements, allow us to hear the company strategy and focus from Lenovo’s leadership. I’ll hit the key learnings from this announcement and then my opinion at the end. Lenovo has a laser …
Lenovo And SAP Tie The Knot, Again, At Tech World 2020 Read More »
MLPerf, an industry consortium of over 70 companies and institutions, has released the second round of AI Inference processing results. These benchmarks now represent production applications from all major areas of AI deployment today. But only a few technologies participated in the contest. Many observers and investors expect NVIDIA to encounter more competition in the market for inference accelerators. The hypothesis is that GPUs consume too much energy, are expensive, and cannot …
The 3rd annual AI Hardware Summit concluded last week, after four days of mind-bending presentations, panels and discussions about the Cambrian Explosion in AI. For well over two years, many of us industry observers have waited for the players, big and small, to present working production silicon with benchmarks. In previous years, only NVIDIA delivered (or should …
It is no secret that artificial intelligence (AI) is a technical marketing whitewash. Many companies claim that its algorithms and data scientists enable a differentiated approach in the networking infrastructure space. However, what are the practical applications of AI for connectivity and, in particular, 5G? From my perspective, it encapsulates four key areas. Here I …
Four Practical Applications Of Artificial Intelligence And 5G Read More »
NVIDIA Co-founder and CEO Jensen Huang rarely disappoints his audience nor his investors. This week he once again delivered the goods at the GPU Technology Conference. Announcing a broad range of hardware and software innovations, Jensen made it clear that he intends to reshape computation, from GPUs to CPUs to NICs and switches. So, let’s …
The explosive growth of AI processing in data center and edge environments has induced AI startups and established firms alike to develop silicon to handle the massive processing demands of neural networks. Inference processing, in particular, is an emerging opportunity, wherein a trained deep neural network is processed to predict characteristics of new data samples. …
RESEARCH PAPER: Tenstorrent’s Holistic Stack Of AI Innovation Read More »
While NVIDIA dominates the market for AI-specific silicon accelerating the training of neural networks, many AI startups are developing silicon to accelerate inference processing, both for data center and edge applications. CPUs have typically been the choice for inference processing, but this is changing rapidly as the size of neural networks grows exponentially and applications …
