With the Radeon Instinct line, AMD joins Nvidia and Intel in the race to put its chips into AI applications—specifically, machine learning for everything from self-driving cars to art. The company plans to launch three products under the new brand in 2017, which include chips from all three of its GPU families.
The passively cooled Radeon Instinct MI6 will be based on the company’s Polaris architecture. It will offer 5.7 teraflops of performance and 224GBps of memory bandwidth, and will consume up to 150 watts of power.
The small-form-factor, Fiji-based Radeon Instinct MI8 will provide 8.2 teraflops of performance and 512GBps of memory bandwidth, and will consume up to 175 watts of power.
The third GPU, which will be based on AMD’s upcoming Vega architecture, will be called the MI25 Vega with NC. This chip will be passively cooled, will consume up to 300 watts of power, and will feature a new high-bandwidth cache and controller.
AMD didn’t release any teraflop rating for the MI25, but the company claimed the performance of its top Radeon Instinct GPU beats Nvidia’s best offering. If the MI6 is 5.7 teraflops and the MI8 is 8.2 teraflops, the MI25’s name hints that the card might be 25 teraflops. That would beat Nvidia’s current Titan X Pascal card, which is rated at 11 teraflops.
Why this matters: Machine learning or machine intelligence, which can train computers to drive, paint, talk and more, is part of the burgeoning market for artificial intelligence . Companies like Google, Nvidia, and Intel have made major investments in AI-focused hardware. Radeon Instinct is AMD’s bid to get a piece of the action.
Machine learning is the hot trend
Besides the Radeon Instinct cards, AMD also said it will release its ROCm deep-learning framework, as well as an open-source GPU-accelerated library called MIOpen. The three cards and well as ROCm and MIOpen are expected to be released in the first half of 2017.
“Radeon Instinct is set to dramatically advance the pace of machine intelligence through an approach built on high-performance GPU accelerators, and free, open-source software in MIOpen and ROCm,” said Raja Koduri, head of AMD’s Radeon Technologies Group. “With the combination of our high-performance compute and graphics capabilities and the strength of our multi-generational roadmap, we are the only company with the GPU and x86 silicon expertise to address the broad needs of the data center and help advance the proliferation of machine intelligence.”
The question is whether cash-poor AMD can elbow its way into this hot market. Nvidia has a head start, with a few generations's worth of products already in play. Google showed off its Tensor Processing Unit in May, and Intel just spent $400 million in August to buy deep-learning startup Nervana.
Patrick Moorhead of analyst firm Moor Insights thinks it’s not too late for AMD. “Deep neural networks are in the first inning in a nine-inning baseball game. It’s early,” he said. “AMD absolutely has an opportunity.”
The next step, Moorhead added, is for AMD to prove its Radeon Instinct products can live up to the promises. “AMD needs to disclose more details on its Instinct cards running [deep neural network] workloads," he said.