Intel and AMD Team Up to Accelerate x86 Innovation — Six Five Media Exclusive
Daniel Newman and Patrick Moorhead sat down with AMD CEO Lisa Su and Intel Corporation CEO Pat Gelsinger for an exclusive interview. AMD & Intel, two of the biggest competitors in the semiconductor market, announced their collaboration on a new x86 Ecosystem Advisory Board.
This special episode of Six Five Media On The Road reveals exciting news shared by Intel and AMD CEOs, Pat Gelsinger and Lisa Su, exclusively with hosts Patrick Moorhead and Daniel Newman about a groundbreaking new collaboration that marks a significant shift in the tech industry, aiming to drive advancements and innovation at unprecedented speeds.Their discussion covers:
- The strategic vision behind the Intel and AMD partnership
- Expected impacts on the X86 ecosystem and the broader technology landscape
- Innovations and advancements anticipated from this collaboration
- How this partnership positions Intel and AMD against competitors
- The long-term goals and outcomes both companies aim to achieve
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Other Categories
CYBERSECURITY

Threat Intelligence: Insights on Cybersecurity from Secureworks
Alex Rose from Secureworks joins Shira Rubinoff on the Cybersphere to share his insights on the critical role of threat intelligence in modern cybersecurity efforts, underscoring the importance of proactive, intelligence-driven defense mechanisms.
QUANTUM

Quantum in Action: Insights and Applications with Matt Kinsella
Quantum is no longer a technology of the future; the quantum opportunity is here now. During this keynote conversation, Infleqtion CEO, Matt Kinsella will explore the latest quantum developments and how organizations can best leverage quantum to their advantage.

Accelerating Breakthrough Quantum Applications with Neutral Atoms
Our planet needs major breakthroughs for a more sustainable future and quantum computing promises to provide a path to new solutions in a variety of industry segments. This talk will explore what it takes for quantum computers to be able to solve these significant computational challenges, and will show that the timeline to addressing valuable applications may be sooner than previously thought.

