The Latest News in AI

We publish news articles on Forbes, which are copied here for your convenience.  

IBM Shares Quantum Use Cases In Dazzling New Book

The IBM Institute for Business Value (IBV) has published a beautiful book, good to read and also a substantial addition to any executive office: the fourth edition of The Quantum Decade. The 168-page tome written by over 70 professionals in every industry, clearly...

Chip Design Moves To The Cloud With Synopsys And Microsoft Azure

CEO's Aart de Geus and Satya Nadella have teamed up to create the industry's first on-demand EDA Software as a Service offering on Microsoft Azure. SYNOPSYS AND MICROSOFT Synopsys and MicrosoftThe two companies have collaborated to enable engineers to design chips...

NVIDIA DPU & Intel IPU: Game Changers Or Just Smart NICs?

Intel has joined the fray to create a new category of Smart Network Interfaces, but with a different strategy than NVIDIA. Back in 2020, when we were all still afraid to leave our homes, NVIDIA launched what it said was a new kind of processor that combined the...

NVIDIA Loses The AI Performance Crown, At Least For Now

For the first time, NVIDIA did not sweep the MLPerf table. While the era of its performance dominance may have come to an end, NVIDIA GPU’s flexibility and massive software ecosystem will continue to form a deep and wide moat. Meanwhile, Google, Intel, and Graphcore...

NVIDIA Data Center Growth Returns

NVIDIA reported renewed growth overall last week. Its Data Center segment (where most of the AI hardware is reported) grew 43% to a record $968M in the last quarter, and gaming rose 56% to $1.49 billion. The stock market appreciated the news, sending NVIDIA up over...

The Cambrian AI Landscape: NVIDIA, The 800Lb Gorilla

NVIDIA is the 800 lb. gorilla in the AI hardware space. The company invests heavily in silicon, systems, and software to maintain that leadership position. This blog is an excerpt from the AI Competitive Landscape Report which is available to subscribers. Early...

Cadence Design Announces Second-Generation IP For Edge AI

AI is penetrating nearly every market and every device, causing leading microprocessor developers to rethink their SoC to enable fast AI execution at low power. The global edge AI hardware market size was valued at $6.88 billion in 2020, and is projected to reach...

NVIDIA L40S: A Datacenter GPU For Omniverse And Graphics That Can Also Accelerate AI Training & Inference

I’m getting a lot of inquiries from investors about the potential for this new GPU and for good reasons; it is fast! NVIDIA announced a new passively-cooled GPU at SIGGRAPH, the PCIe-based L40S, and most of us analysts just considered this to be an upgrade to the...

HPE Adds Support For Qualcomm Cloud AI 100 Inference Accelerator

HPE’s endorsement for the Qualcomm Technology Cloud AI 100 is a huge step for most efficient and high-performance AI inference engines in market today. When I was working at AMD to get the first generation EPYC server SoC added to HPE servers, I learned that the...

The Graphcore Data Center Architecture

The Graphcore disaggregated accelerator could be a game changer. I have recently finished a research paper looking into the data center architecture for deploying the Graphcore IPU-Machine, which is a network-attached accelerator for highly-parallel workloads. Lets...