Latest news with #RNGD
United News of India
5 days ago
- Business
- United News of India
LG shakes hands with FuriosaAI for an enterprise-grade launch
New Delhi, July 24 (UNI) FuriosaAI Inc., a South Korean Semiconductor startup with specialization in the development of AI inference chips, has partnered with LG Corporation (a South Korean conglomerate) for an ambitious launch of an enterprise-grade solution. LG Corp's large language model (LLM) Exaone (developed by LG's AI research division) fully acquired the second-generation AI inference model Renegade of FuriosaAI. Now, both companies plan to launch an enterprise-grade solution. This deal highlights that LG will integrate RNGD chips into Exaone servers. RNGD chips refer to a new line of AI inference chips developed by FuriosaAI. These chips are specially designed to deal with high-performing data centers with a focus on deep learning inference. June Paik (chief executive officer of FuriosaAI) termed this partnership as a 'watershed moment.' Paik also pointed out the efforts they put into this project over the previous eight years. He emphasized that now the product is ready for enterprise adoption. Analysts pointed out that LG's embrace of 'Renegade' is again showing a boom in the realm of major AI investments. It also showed the popularity of LLM (large language models) in handling complex technological processes with ease. UNI SAS PRS
Business Insider
7 days ago
- Business
- Business Insider
FuriosaAI Takes Its First Step to Challenge Nvidia's (NVDA) AI Chip Dominance
Artificial intelligence (AI) chip startup FuriosaAI wants to challenge Nvidia's (NVDA) domination of the market, and it just signed its first major deal. The company reached an agreement with LG AI Research for its AI chip, RNGD. This came after seven months of testing to determine the performance and efficiency of the chips. Elevate Your Investing Strategy: Take advantage of TipRanks Premium at 50% off! Unlock powerful investing tools, advanced data, and expert analyst insights to help you invest with confidence. FuriosaAI may be new to the AI chip sector, but it has leadership with deep experience in the field. Founder and CEO June Paik previously worked at Samsung (SSNLF) and Advanced Micro Devices (AMD) before leaving to establish FuriosaAI in 2017. He believes the latest deal with LG AI Research 'signals that our product is ready for enterprise adoption.' Can FuriosaAI Compete in the AI Chip Sector? FuriosaAI is entering an already saturated market, meaning it has an uphill battle ahead of it. The company has to compete with Nvidia, which dominates the field of AI chips and servers with its graphics processing units (GPUs). Other strong competitors in the field include AMD, Broadcom (AVGO), Arm (ARM), Marvell Technology (MRVL), and Super Micro Computer (SMCI). There are also rival startups trying to enter the space, such as Rebellions and Semifive, adding even more competition to the market. What Is the Best AI Stock to Invest In? The easy answer to this question is Nvidia, largely thanks to its strong grip on the AI chips sector. NVDA stock sports a consensus Strong Buy rating and a possible 8.76% upside. However, Broadcom and Marvell Technology also have Strong Buy ratings and significant upside potential. Getting to AMD, ARM, and SMCI, each of these AI stocks have consensus Moderate Buy ratings. AMD and Super Micro Computer have price targets that suggest downsides, while Arm has a potential 3.5% upside.
Time of India
22-07-2025
- Business
- Time of India
Jensen Huang may have met his match, and it's not AMD, but a stealthy South Korean challenger
Who is FuriosaAI, and why are they suddenly in the spotlight? What makes FuriosaAI's chip so special? Live Events Custom-built for AI inference : Unlike Nvidia's general-purpose GPUs, RNGD is optimized solely for AI workloads. : Unlike Nvidia's general-purpose GPUs, RNGD is optimized solely for AI workloads. 5nm process with HBM3 memory : This enables faster performance with lower energy consumption. : This enables faster performance with lower energy consumption. Massive efficiency gains: LG AI Research found that RNGD delivered 2.25x faster inference per watt compared to traditional GPUs. LG AI Research just gave FuriosaAI a massive boost Why did Meta try to buy FuriosaAI? Is FuriosaAI really a threat to Nvidia? Feature FuriosaAI RNGD Nvidia H100 Architecture Custom AI inference NPU General-purpose GPU Process TSMC 5nm TSMC 4nm Memory 48GB HBM3 80GB HBM3 TDP ~180W ~700W Inference efficiency 2.25x GPU per watt Industry benchmark Target use case LLM inference Training + inference What does this mean for the global AI chip market? FuriosaAI's edge lies in energy efficiency, affordability, and regional backing. lies in energy efficiency, affordability, and regional backing. Nvidia's strength remains raw performance and broad developer support. remains raw performance and broad developer support. Meta's pivot toward in-house chips signals a growing trend toward vertical integration in AI. Could FuriosaAI disrupt Nvidia's AI dominance? FAQs: Nvidia vs FuriosaAI: (You can now subscribe to our (You can now subscribe to our Economic Times WhatsApp channel For years, Nvidia CEO Jensen Huang has reigned supreme in the AI chip world. Despite fierce competition from AMD and Intel, Nvidia's dominance in training and running large language models has gone largely unchallenged—until now. A stealthy South Korean startup,, is making waves in the global semiconductor scene and may just be the first true threat to Nvidia's AI hardware in 2017 and backed by heavyweights like Samsung Electronics and Naver Corp,has flown under the radar for years. But in 2025, the startup shocked the tech world by turning down an. That rejection alone signaled confidence—but the real attention came when FuriosaAIInstead of selling, FuriosaAI chose to go big. And now, they're emerging as a serious AI accelerator powerhouse—exactly the kind of challenger Nvidia hasn't faced from Asia until the heart of FuriosaAI's rise is its new, a next-gen AI inference accelerator built to handle the kind of large-scale models powering everything from ChatGPT-style tools to enterprise what sets RNGD apart:That kind of power-to-efficiency ratio could be a game-changer—especially for companies scaling AI operations while trying to manage rising power and cooling biggest breakthrough yet came when LG AI Research announced it would integrate RNGD chips into its EXAONE platform, the large-scale AI system used for research across biotech, telecom, and FuriosaAI, this deal is more than a commercial win—it's validation. LG's evaluation didn't just show superior power efficiency. It also demonstrated better cost-performance compared to Nvidia's popular H100 chips, which are the backbone of today's AI data other words: FuriosaAI just proved it can compete—and maybe outperform—the world's most dominant AI failed $800 million bid for FuriosaAI speaks volumes. The social media giant, which is investing billions into building its own generative AI systems, clearly saw value in acquiring a company with proprietary AI the deal reportedly fell apart not over price—but. FuriosaAI wanted to stay independent and pursue partnerships with global enterprises instead of becoming a Meta-only Meta is also, and is reportedly testing it through Taiwan's TSMC. However, the company's recent friction with Nvidia (Meta was notably excluded from Blackwell GPU order announcements) may have accelerated its chip-buying be clear: Nvidia is still the king of the hill. The company's H100 and upcoming Blackwell chips are powering almost every major AI deployment, from OpenAI to Amazon to FuriosaAI represents something different—a, efficiency-optimized challenger built outside of Silicon Valley. And as, especially at scale, companies will start looking beyond Nvidia for FuriosaAI isn't aiming to replace Nvidia across the board—but it's carving out a crucial niche in, which is where AI applications go from test labs to real-world race is officially heating up. With Meta, Microsoft, Amazon, and other Big Tech players pushing to reduce their reliance on Nvidia, there's enormous demand forThis competitive shake-up is especially notable because South Korea has long been seen as a memory chip superpower—not a leader in AI accelerators. FuriosaAI's rise could reshape the semiconductor narrative, adding a powerful new player to the global AI arms Jensen Huang has faced plenty of rivals before—Intel, AMD, Google TPU—but few with the underdog precision and strategic clarity of FuriosaAI. With top-tier backing, an efficient and powerful chip design, and validation from a major global enterprise like LG, this South Korean startup is signaling that it's ready for the big it's enough to dethrone Nvidia remains to be seen. But one thing is clear: Jensen Huang may have finally met his match—and it's not AMD, but a stealthy South Korean is a South Korean chip startup that makes powerful AI chips, and it's now gaining attention for offering faster, more energy-efficient alternatives to Nvidia's AI RNGD chip delivers overthan Nvidia's GPUs, using less power and offering better cost performance for AI turned down Meta's offer because it wanted to stay independent and pursue its own vision of working with global partners like uses FuriosaAI's chips to run its large language models (LLMs) for research in industries like biotech, telecom, and especially for companies focused on AI inference tasks. FuriosaAI offers a cost-effective, energy-efficient alternative that's catching global is backed by major South Korean players like Samsung Electronics and Naver Corp, giving it strong support for global chips are built for—the part where models are used in real applications, not just entirely, but it could carve out a large share of the, especially where power efficiency matters like telecom, research, biotech, and finance are already testing or using FuriosaAI chips in real-world AI FuriosaAI just signed a big deal with LG after rejecting Meta's offer, proving it's ready to compete with the biggest names in AI.
Time of India
22-07-2025
- Business
- Time of India
Nvidia chip challenger FuriosaAI scores LG as first major customer
FuriosaAI Inc., the Seoul-based startup seeking to design chips to compete with Nvidia Corp., has sealed its first major contract months after rejecting an $800 million acquisition offer from Meta Platforms Inc. The startup won final approval for its AI chip RNGD (pronounced 'Renegade') from LG AI Research after seven months of rigorous evaluation spanning performance and efficiency. The larger Korean company will use the chip to power its Exaone large-language models, FuriosaAI Chief Executive Officer June Paik told Bloomberg News. LG's approval is a validation for FuriosaAI, one of a handful of Korean chip designers hoping to ride a post-ChatGPT boom in AI infrastructure . The RNGD chip was designed to challenge not just industry leader Nvidia but also fellow startups Groq Inc., SambaNova Systems Inc. and Cerebras Systems Inc. 'For the last eight years, we worked very hard from R&D to product phases and finally this commercialisation phase,' Paik said. 'This signals that our product is ready for enterprise adoption.' Founded in 2017 by Paik, who previously worked at Samsung Electronics Co. and Advanced Micro Devices Inc., FuriosaAI develops semiconductors for AI inferencing or services. It claims to deliver 2.25 times better inference performance per watt compared to graphics processing units. Like Korean peers Rebellions Inc. and Semifive Inc., FuriosaAI is trying to tap a giant semiconductor ecosystem of talent, suppliers and government incentives that've sprung up around Samsung and SK Hynix Inc. over the past decade. As part of their partnership, FuriosaAI and LG intend to deploy RNGD servers using Exaone across a range of industries from electronics to finance. They will also power LG's in-house enterprise AI agent, ChatExaone, which the company plans to expand to external clients. FuriosaAI is working to secure its next customers in the US, the Middle East and Southeast Asia. It expects to reach similar agreements in the second half of this year, Paik said. FuriosaAI attracted public attention when news emerged in March that it had rejected Meta's advances, opting for independence. It plans to raise capital before eventually pursuing an initial public offering, according to people familiar with the matter.
Economic Times
22-07-2025
- Business
- Economic Times
Nvidia chip challenger FuriosaAI scores first major customer LG
FuriosaAI Inc., the Seoul-based startup seeking to design chips to compete with Nvidia Corp., has sealed its first major contract months after rejecting an $800 million acquisition offer from Meta Platforms Inc. The startup won final approval for its AI chip RNGD (pronounced 'Renegade') from LG AI Research after seven months of rigorous evaluation spanning performance and efficiency. The larger Korean company will use the chip to power its Exaone large-language models, FuriosaAI Chief Executive Officer June Paik told Bloomberg News. LG's approval is a validation for FuriosaAI, one of a handful of Korean chip designers hoping to ride a post-ChatGPT boom in AI infrastructure. The RNGD chip was designed to challenge not just industry leader Nvidia but also fellow startups Groq Inc., SambaNova Systems Inc. and Cerebras Systems Inc. 'For the last eight years, we worked very hard from R&D to product phases and finally this commercialisation phase,' Paik said. 'This signals that our product is ready for enterprise adoption.'Founded in 2017 by Paik, who previously worked at Samsung Electronics Co. and Advanced Micro Devices Inc., FuriosaAI develops semiconductors for AI inferencing or services. It claims to deliver 2.25 times better inference performance per watt compared to graphics processing units. Like Korean peers Rebellions Inc. and Semifive Inc., FuriosaAI is trying to tap a giant semiconductor ecosystem of talent, suppliers and government incentives that've sprung up around Samsung and SK Hynix Inc. over the past part of their partnership, FuriosaAI and LG intend to deploy RNGD servers using Exaone across a range of industries from electronics to finance. They will also power LG's in-house enterprise AI agent, ChatExaone, which the company plans to expand to external clients. FuriosaAI is working to secure its next customers in the US, the Middle East and Southeast Asia. It expects to reach similar agreements in the second half of this year, Paik said. FuriosaAI attracted public attention when news emerged in March that it had rejected Meta's advances, opting for independence. It plans to raise capital before eventually pursuing an initial public offering, according to people familiar with the matter.
