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IBM is focusing its AI initiatives on the business case instead of trying to get customers to focus on AI, and that's what sets it apart.
The nonprofit IT certification and training organization is creating new products and programs to address the growing AI jobs market.
AI-based enhancements enable IT teams to manage on-prem, hybrid, or cloud-native systems with visibility across distributed networks.
At Mobile World Congress, Qualcomm is demonstrating its vision for better exploiting artificial intelligence with the help of on-device computing and connectivity.
Cloud service provider Lambda is working to build a GPU cloud for AI workloads.
Juniper upgraded its PTX and QFX platforms to support 800G Ethernet as momentum builds around making Ethernet a go-to technology for AI networking.
Arm이 차세대 Arm 네오버스(Neoverse) 기술을 발표하고 성능 효율성을 한 단계 끌어올리는 새로운 N 시리즈 IP를 통해 네오버스 컴퓨팅 서브시스템(CSS) 로드맵을 확장했다고 밝혔다. 새로운 네오버스 CSS N3은 네오버스 CSS N2에 비해 와트당 성능이 20% 향상됐다.
The justification for HPE buying Juniper may be a mundane, economy-of-scale play or a move to gain Juniper's AI networking technology. Or there may be a vision for something more ambitious.
Interest in AI has skyrocketed, dragging along with it a hefty amount of uncertainty on the part of enterprise IT teams.
The next-gen technology is still years away, but 6G wireless could enable futuristic high-bandwidth, low-latency applications.
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