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Nov. 15, 2018 — Habana Labs, Ltd. (www.habana.ai), today announced it has secured $75 million in an oversubscribed series B funding, led by Intel Capital, to fuel…

את הסבב הובילה זרוע ההשקעות של אינטל

Habana Labs, a start-up based in Tel-Aviv, Israel, raised $75 million in an oversubscribed series B funding for its development of AI processors…

Habana outruns Nvidia in inference
SAN JOSE, Calif. — A startup with ties to Amazon is sampling a 16-nm chip mainly targeted for data centers that it claims handily beats CPUs and GPUs for deep-learning inference jobs. Habana is raising funds…

Startup’s Chip Claims to Do Deep Learning Inference Better

Habana Labs, a startup that came out of “stealth mode” this week, announced a custom chip that is said to enable much higher machine learning inference performance compared to GPUs…

The Goya HL-1000 board is designed to deliver high performance and low latency for machine-learning applications.
Habana Labs has emerged onto the machine-learning (ML) stage with its Goya HL-1000 processor (Fig. 1). The x16 PCI Express Gen 4 board has a 200-W…

Israeli company Habana Labs claims to have developed a processor three times faster than that of its rival Nvidia.

Israeli startup Habana Labs has come out of stealth and presented what it claims is the world’s fastest artificial intelligence…

MOUNTAIN VIEW, Calif. — The rubber is about to meet the road in what’s projected to be a $25 billion market for deep-learning accelerators. Data centers are testing multiple chips in the labs now and expect to deploy some next year, probably picking…

Habana’s deep learning inference processor, named Goya, is >2 orders of magnitude better in throughput & power than commonly deployed CPUs, according to the company. The company will offer a PCIe 4.0 card that incorporates a single Goya HL-1000 processor and…

Habana Labs describes its Goya HL-1000 as the world’s highest performance artificial intelligence (AI) inference processor. A PCIe card based on the HL-1000 processor delivers 15,000 images/second throughput on….

Dr. Ian Cutress of AnandTech provides a fairly comprehensive slide-by-slide blog of Eitan Medina’s talk at Hot Chips 31.

Michael Feldman writes, “Not only do these two application areas [training and inference] present significantly different requirements for the hardware, but the markets for these systems also present their own particular needs…AI startup Habana Labs has been on this bifurcated path from…

Rick Merritt writes, “Among other standards efforts, Xu applauded Habana’s use of Ethernet as an interconnect for its accelerators. In the future, such an approach could enable big data centers to virtualize and use pools accelerators across their far-flung networks…

Habana Labs, Ltd., today announced it is officially out of stealth mode and is sampling its first AI processor to select customers. A PCIe card based on its Goya….

Sally Ward-Foxton writes, “Habana has unveiled an AI training chip built on the same [Goya] architecture that can outpace the incumbent technology by a substantial margin, and features on-chip RoCE for communications scalability.”

Frederic Lardinois writes, “…Gaudi chips beat GPUs in raw performance, it’s the company’s networking technology that gives it the extra boost to reach its full potential.”

Michael Feldman of The Next Platform, “Perhaps the biggest potential strength of Gaudi will be its ability to deliver performance at scale…”

Karl Freund writes, “The support of 10x100Gb Ethernet with RDMA is a masterstroke and has probably set the standard by which all challengers will and should be measured.”