Category: Syndicated

Connecting the front line: How 8×8 Pulse and Resolve fix corporate blind spots

Enterprise software architecture has long suffered from what can be called an “integration tax.” When an organization deploys a communications platform, it rarely stops at the basic functions, such as calling and messaging. To extract operational value, it must overlay data analytics layers, emergency notification systems and context-matching engines. Each addition introduces architectural complexity, data egress liabilities and synchronization latency. This week communications provider 8×8 expanded its AI tool suite.

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Connecting the front line: How 8×8 Pulse and Resolve fix corporate blind spots

QumulusAI and the shift from GPU scarcity to GPU efficiency

Neocloud provider QumulusAI announced today that it has secured more than $124 million in customer subscriptions for three-year terms with Hyperbolic and another leading artificial intelligence inference platform. These agreements cover deployments totaling 1,280 Nvidia Corp. Blackwell GPUs, delivered via 160 Lenovo and Supermicro bare-metal servers connected with Cisco Systems Inc. Nexus networking to form high-throughput, low-latency clusters.

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QumulusAI and the shift from GPU scarcity to GPU efficiency

Securing the AI workforce: Zscaler’s zero-trust play for agentic AI

Since Zscaler Inc.‘s launch, the company’s mission has been to disrupt traditional access and security with its Zero Trust platform. At its user event, Zenith Live, in Las Vegas, the company made its case for what its next act would look like: becoming the foundational “zero trust for agentic AI” platform. For enterprises, the keynote by Chief Executive Jay Chaudhry (pictured) highlighted that securing artificial intelligence agents, including their connections, data paths and device footprint, is now a board-level architectural decision, not a bolt-on control, and that this will require a rethinking of security.

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Securing the AI workforce: Zscaler’s zero-trust play for agentic AI

The AI supersystem shift: Why Arista’s 1.6T announcement is an Ethernet inflection point

The networking industry loves inflection points. Over the years, we have had many new compute models that require the network to evolve. For as long as I can remember, the holy war between InfiniBand and Ethernet was fought on a relatively simple battlefield: throughput versus ubiquity. But as artificial intelligence workloads scale from tens of thousands of processors to massive clusters approaching the million-graphics-processing-unit mark, the network is fundamentally changing. It is no longer just a standalone infrastructure layer; it has become the critical backplane of a tightly integrated AI supersystem.

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The AI supersystem shift: Why Arista’s 1.6T announcement is an Ethernet inflection point

Five takeaways from the Cisco Live keynotes

At Cisco Systems Inc.‘s annual event, Cisco Live, this week in Las Vegas, it was no surprise that artificial intelligence was the top theme of the show and dominated most of the news and product innovations announced. Cisco has been successful in riding the AI wave and using it as a growth engine. Over the past year, revenue and profits have grown, and the stock price has doubled. The company has accomplished this by positioning itself as “critical infrastructure for the AI era” and by revamping its entire product line to back that claim.

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Five takeaways from the Cisco Live keynotes