article thumbnail

Exafunction aims to reduce AI dev costs by abstracting away hardware

TechCrunch

But they share a common bottleneck: hardware. New techniques and chips designed to accelerate certain aspects of AI system development promise to (and, indeed, already have) cut hardware requirements. Emerging from stealth today, Exafunction is developing a platform to abstract away the complexity of using hardware to train AI systems.

Hardware 243
article thumbnail

EnCharge AI emerges from stealth with $21.7M to develop AI accelerator hardware

TechCrunch

EnCharge AI , a company building hardware to accelerate AI processing at the edge , today emerged from stealth with $21.7 Speaking to TechCrunch via email, co-founder and CEO Naveen Verma said that the proceeds will be put toward hardware and software development as well as supporting new customer engagements.

Hardware 216
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The smart, strategic moves CIOs must make to leverage AI for business transformation

CIO

Why the ideal time to shift to AI PCs is now With Windows 10 nearing end-of-support, businesses must decide whether to update their existing hardware or upgrade completely when shifting to Windows 11. AMD PRO processors feature a dedicated AI hardware accelerator to enable local data processing, which is designed to enhance user privacy [4].

article thumbnail

Why AI productivity benefits require a PC refresh strategy

CIO

1] But as businesses seek to realize these benefits, the technology debate is extending beyond data and algorithms to another crucial piece of the overall puzzle: the underlying hardware, particularly AI PCs. Ultimately, AI transformation needs a foundation, and part of that will be the hardware businesses use to deploy AI.

Strategy 143
article thumbnail

The future of work: AI PCs with Intel at the core

CIO

With Intel-powered AIembedded into the hardware, IT can better understand their PC fleet with specific device-level insights, such as asset identity and event history. Choice and performance : For the first time ever, Intel is delivering an integrated NPU and has dramatically increased the on-board GPU capability to handle more AI loads.

eBook 124
article thumbnail

IBM boosts the amount of computation you can get done on quantum hardware

Ooda Loop

There’s a general consensus that we won’t be able to consistently perform sophisticated quantum calculations without the development of error-corrected quantum computing, which is unlikely to arrive until the end of the decade.

article thumbnail

Deep Vision announces its low-latency AI processor for the edge

TechCrunch

“That gives you extraordinary efficiency — both in terms of performance per dollar and performance per watt — when looking at AI workloads.” The result, of course, is high latency for individual tasks and that makes them a poor fit in our opinion for an edge use case where real-time performance is key.”