Cerebras Launches AI Inference Tool to Challenge Nvidia

Cerebras Systems logo is seen in this illustration taken March 31, 2023. (Reuters)
Cerebras Systems logo is seen in this illustration taken March 31, 2023. (Reuters)
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Cerebras Launches AI Inference Tool to Challenge Nvidia

Cerebras Systems logo is seen in this illustration taken March 31, 2023. (Reuters)
Cerebras Systems logo is seen in this illustration taken March 31, 2023. (Reuters)

Cerebras Systems launched on Tuesday a tool for AI developers that allows them to access the startup's outsized chips to run applications, offering what it says is a much cheaper option than industry-standard Nvidia processors.

Access to Nvidia graphics processing units (GPUs) - often via a cloud computing provider - to train and deploy large artificial intelligence models used for applications such as OpenAI's ChatGPT can be difficult to obtain and expensive to run, a process developers refer to as inference.

"We're delivering performance that cannot be achieved by a GPU," Cerebras CEO Andrew Feldman told Reuters in an interview. "We're doing it at the highest accuracy, and we're offering it at the lowest price."

The inference portion of the AI market is expected to be fast-growing and attractive - ultimately worth tens of billions of dollars if consumers and businesses adopt AI tools.

The Sunnyvale, California-based company plans to offer several types of the inference product via a developer key and its cloud. The company will also sell its AI systems to customers who prefer to operate their own data centers.

Cerebras' chips - each the size of a dinner plate and called Wafer Scale Engines - avoid one of the issues with AI data crunching: the data crunched by large models that power AI applications typically won't fit on a single chip and can require hundreds or thousands of chips strung together.

That means Cerebras' chips can achieve speedier performances, Feldman said.

It plans to charge users as little as 10 cents per million tokens, which are one of the ways companies can measure the amount of output data from a large model.

Cerebras is aiming to go public and filed a confidential prospectus with the Securities and Exchange Commission this month, the company said.



In Canada Lake, Robot Learns to Mine without Disrupting Marine Life 

A Impossible Metals worker workers help positioning the Eureka II, a robotic underwater vehicle while lifting up from the water in Collingwood, Ontario, on May 1, 2025. (AFP)
A Impossible Metals worker workers help positioning the Eureka II, a robotic underwater vehicle while lifting up from the water in Collingwood, Ontario, on May 1, 2025. (AFP)
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In Canada Lake, Robot Learns to Mine without Disrupting Marine Life 

A Impossible Metals worker workers help positioning the Eureka II, a robotic underwater vehicle while lifting up from the water in Collingwood, Ontario, on May 1, 2025. (AFP)
A Impossible Metals worker workers help positioning the Eureka II, a robotic underwater vehicle while lifting up from the water in Collingwood, Ontario, on May 1, 2025. (AFP)

Three robotic arms extended under the water in a Canadian lake, delicately selecting pebbles from the bed, before storing them back inside the machine.

The exercise was part of a series of tests the robot was undergoing before planned deployment in the ocean, where its operators hope the machine can transform the search for the world's most sought-after metals.

The robot was made by Impossible Metals, a company founded in California in 2020, which says it is trying to develop technology that allows the seabed to be harvested with limited ecological disruption.

Conventional underwater harvesting involves scooping up huge amounts of material in search of potato-sized things called poly-metallic nodules.

These nodules contain nickel, copper, cobalt, or other metals needed for electric vehicle batteries, among other key products.

Impossible Metals' co-founder Jason Gillham told AFP his company's robot looks for the nodules "in a selective way."

The prototype, being tested in the province of Ontario, remains stationary in the water, hovering over the lake bottom.

In a lab, company staff monitor the yellow robot on screens, using what looks like a video game console to direct its movements.

Using lights, cameras and artificial intelligence, the robot tries to identify the sought-after nodules while leaving aquatic life, such as octopuses' eggs, coral, or sponges, undisturbed.

- 'A bit like bulldozers' -

In a first for the nascent sector, Impossible Metals has requested a permit from US President Donald Trump to use its robot in American waters around Samoa, in the Pacific.

The company is hoping that its promise of limited ecological disruption will give it added appeal.

Competitors, like The Metals Company, use giant machines that roll along the seabed and suck up the nodules, a highly controversial technique.

Douglas McCauley, a marine biologist at the University of California, Santa Barbara, told AFP this method scoops up ocean floor using collectors or excavators, "a bit like bulldozers," he explained.

Everything is then brought up to ships, where the nodules are separated from waste, which is tossed back into the ocean.

This creates large plumes of sediment and toxins with a multitude of potential impacts, he said.

A less invasive approach, like that advocated by Impossible Metals, would reduce the risk of environmental damage, McCauley explained.

But he noted lighter-touch harvesting is not without risk.

The nodules themselves also harbor living organisms, and removing them even with a selective technique, involves destroying the habitat, he said.

Impossible Metals admits its technology cannot detect microscopic life, but the company claims to have a policy of leaving 60 percent of the nodules untouched.

McCauley is unconvinced, explaining "ecosystems in the deep ocean are especially fragile and sensitive."

"Life down there moves very slowly, so they reproduce very slowly, they grow very slowly."

Duncan Currie of the Deep Sea Conservation Coalition said it was impossible to assess the impact of any deep sea harvesting.

"We don't know enough yet either in terms of the biodiversity and the ecosystem down there," he told AFP.

According to the international scientific initiative Ocean Census, only 250,000 species are known, out of the two million that are estimated to populate the oceans.

- High demand -

Mining is "always going to have some impact," said Impossible Metals chief executive and co-founder Oliver Gunasekara, who has spent most of his career in the semiconductor field.

But, he added, "we need a lot more critical minerals, as we want to electrify everything."

Illustrating the global rush toward underwater mining, Impossible Metals has raised US$15 million from investors to build and test a first series of its Eureka 3 robot in 2026.

The commercial version will be the size of a shipping container and will expand from three to 16 arms, and its battery will grow from 14 to nearly 200 kilowatt-hours.

The robot will be fully autonomous and self-propel, without cables or tethers to the surface, and be equipped with sensors.

While awaiting the US green light, the company hopes to finalize its technology within two to three years, conduct ocean tests, build a fleet, and operate through partnerships elsewhere in the world.