The ONF adapts after sale of spin-off Ananki to Intel

Intel’s acquisition of Ananki, a private 5G networking company set up within the ONF last year, has meant the open-model organisation has lost the bulk of its engineering staff.

Timon Sloane

The ONF, a decade-old non-profit consortium led by the telecom operators, has developed some notable networking projects over the years such as CORD, OpenFlow, one of the first software-defined networking (SDN) standards, and Aether, the 5G edge platform.

Its joint work with the operators has led to virtualised and SDN building blocks that, when combined, can address comprehensive networking tasks such as 5G, wireline broadband and private wireless networks.

The ONF’s approach has differed from other open-source organisations. Its members pay for an in-house engineering team to co-develop networking blocks based on disaggregation, SDN and cloud.

The ONF and its members have built a comprehensive portfolio of networking functions which last year led to the organisation spinning out a start-up, Ananki, to commercialise a complete private end-to-end wireless network.

Now Intel has acquired Ananki, taking with it 44 of the ONF’s 55 staff.

“Intel acquired Ananki, Intel did not acquire the ONF,” says Timon Sloane, the ONF’s newly appointed general manager. “The ONF is still whole.”

The ONF will now continue with a model akin to other open-source organisations.

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Nvidia's plans for the data processor unit

When Nvidia’s CEO, Jensen Huang, discussed its latest 400-gigabit BlueField-3 data processing unit (DPU) at the company’s 2021 GTC event, he also detailed its successor.

Companies rarely discuss chip specifications two generations ahead; the BlueField-3 only begins sampling next quarter.

BlueField-3 die. Source: Nvidia

The BlueField-4 will advance Nvidia’s DPU family. It will double again the traffic throughput to 800 gigabits-per-second (Gbps) and almost quadruple the BlueField-3’s integer processing performance.

But one metric cited stood out. The BlueField-4 will increase by nearly 1000x the number of terabit operators-per-second (TOPS) performed: 1,000 TOPS compared to the BlueField-3’s 1.5 TOPS.

Huang said artificial intelligence (AI) technologies will be added to the BlueField-4, implying that the massively parallel hardware used for Nvidia’s graphics processor units (GPUs) are to be grafted onto its next-but-one DPU.

Why add AI acceleration? And will it change the DPU, a relatively new processor class?

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