var TRINITY_TTS_WP_CONFIG={“cleanText”:”AMD floats new AI chip to rival Nvidiau2019s H100 dominance.u23f8Underneath the growing popularity of artificial intelligence (AI), there is a brewing battle among chipmakers, with Nvidia (NASDAQ: NVDA) and Advanced Micro Devices (NASDAQ: AMD) gearing up for a major showdown.u23f8On June 15, AMDu00a0launchedu00a0a new MI300X AI Accelerator chip in a valiant attempt to increase the size of its AI market share. The latest move challenges Nvidia’s dominance in the sector amid the increasing adoption of AI platforms.u23f8AMD hopes to attract firms experimenting with large language models (LLMs) with its 192GB of memory capacity. AMD CEO Lisa Su disclosed that the new chip was specifically built for AI functionality and will be compatible with recent edge models.u23f8″With all of that additional memory capacity, we actually have an advantage for large language models because we can run larger models directly in memory,” Su said.u23f8Large memory capacities are integral for AI chips because training models require deep data volumes. Su remarks that AMG’s new chip will allow researchers to complete tasks faster without additional GPUs.u23f8As proof of its worthiness, the chip’s launch ran the Falcon 40B LLM, with Su hailing the offering as the “first time an LLM of this size can be run entirely in memory.” In addition to the chip, AMD floated a GPU programming software stack to serve as a direct contender with NVIDIA’s CUDA, but it remains unclear if the industry’s giants like Google’s (NASDAQ: GOOGL) Bard will pivot to AMG.u23f8The AI hype has provided a range of benefits for both firms, given the recent valuations of both technology firms. Nvidia hit a $1 trillion valuation, while AMD shares have climbed by 94% since the start of the year, attracting several investors along the way.u23f8OpenAI CEO Sam Altman has indicated a desire tou00a0investu00a0in local South Korean chip manufacturers as his firm may be pivoting to Korean chips to supplement supply from Taiwan.u23f8Regulators join the partyu23f8Tech firms are not the only ones creating the buzz in AI, with regulators also sending ripples across the ecosystem. After establishing regulation for theu00a0digital currencyu00a0industry, European regulators upped the ante following the greenlight of an overarching AIu00a0legal frameworku00a0seeking to protect users’ privacy and ensure safe usage of the technology.u23f8The proposed legislation is pushing for a regional ban on predictive policing and emotion recognition systems using AI while urging service providers to clearly label AI-generated content. The rules order AI service providers to test-run their proposed platforms in regulatory sandboxes ahead of retail rollouts.u23f8In order for artificial intelligence (AI) to work right within the law and thrive in the face of growing challenges, it needs to integrate an enterprise blockchain system that ensures data input quality and ownershipu2014allowing it to keep data safe while also guaranteeing the immutability of data.u00a0Check out u2019s coverageu00a0on this emerging tech to learn moreu00a0why Enterprise blockchain will be the backbone of AI.u23f8 Conversations with Owen Vaughan & Alessio Pagani: Blockchain can bring accountability to AIu23f8″,”headlineText”:”AMD floats new AI chip to rival Nvidiau2019s H100 dominance”,”articleText”:”Underneath the growing popularity of artificial intelligence (AI), there is a brewing battle among chipmakers, with Nvidia (NASDAQ: NVDA) and Advanced Micro Devices (NASDAQ: AMD) gearing up for a major showdown.u23f8On June 15, AMDu00a0launchedu00a0a new MI300X AI Accelerator chip in a valiant attempt to increase the size of its AI market share. The latest move challenges Nvidia’s dominance in the sector amid the increasing adoption of AI platforms.u23f8AMD hopes to attract firms experimenting with large language models (LLMs) with its 192GB of memory capacity. AMD CEO Lisa Su disclosed that the new chip was specifically built for AI functionality and will be compatible with recent edge models.u23f8″With all of that additional memory capacity, we actually have an advantage for large language models because we can run larger models directly in memory,” Su said.u23f8Large memory capacities are integral for AI chips because training models require deep data volumes. Su remarks that AMG’s new chip will allow researchers to complete tasks faster without additional GPUs.u23f8As proof of its worthiness, the chip’s launch ran the Falcon 40B LLM, with Su hailing the offering as the “first time an LLM of this size can be run entirely in memory.” In addition to the chip, AMD floated a GPU programming software stack to serve as a direct contender with NVIDIA’s CUDA, but it remains unclear if the industry’s giants like Google’s (NASDAQ: GOOGL) Bard will pivot to AMG.u23f8The AI hype has provided a range of benefits for both firms, given the recent valuations of both technology firms. Nvidia hit a $1 trillion valuation, while AMD shares have climbed by 94% since the start of the year, attracting several investors along the way.u23f8OpenAI CEO Sam Altman has indicated a desire tou00a0investu00a0in local South Korean chip manufacturers as his firm may be pivoting to Korean chips to supplement supply from Taiwan.u23f8Regulators join the partyu23f8Tech firms are not the only ones creating the buzz in AI, with regulators also sending ripples across the ecosystem. After establishing regulation for theu00a0digital currencyu00a0industry, European regulators upped the ante following the greenlight of an overarching AIu00a0legal frameworku00a0seeking to protect users’ privacy and ensure safe usage of the technology.u23f8The proposed legislation is pushing for a regional ban on predictive policing and emotion recognition systems using AI while urging service providers to clearly label AI-generated content. The rules order AI service providers to test-run their proposed platforms in regulatory sandboxes ahead of retail rollouts.u23f8In order for artificial intelligence (AI) to work right within the law and thrive in the face of growing challenges, it needs to integrate an enterprise blockchain system that ensures data input quality and ownershipu2014allowing it to keep data safe while also guaranteeing the immutability of data.u00a0Check out u2019s coverageu00a0on this emerging tech to learn moreu00a0why Enterprise blockchain will be the backbone of AI.u23f8 Conversations with Owen Vaughan & Alessio Pagani: Blockchain can bring accountability to AIu23f8″,”metadata”:{“author”:”Wahid Pessarlay”},”pluginVersion”:”5.7.4″}; |
Underneath the growing popularity of artificial intelligence (AI), there is a brewing battle among chipmakers, with Nvidia (NASDAQ: NVDA) and Advanced Micro Devices (NASDAQ: AMD) gearing up for a major showdown.
On June 15, AMD launched a new MI300X AI Accelerator chip in a valiant attempt to increase the size of its AI market share. The latest move challenges Nvidia’s dominance in the sector amid the increasing adoption of AI platforms.
AMD hopes to attract firms experimenting with large language models (LLMs) with its 192GB of memory capacity. AMD CEO Lisa Su disclosed that the new chip was specifically built for AI functionality and will be compatible with recent edge models.
“With all of that additional memory capacity, we actually have an advantage for large language models because we can run larger models directly in memory,” Su said.
Large memory capacities are integral for AI chips because training models require deep data volumes. Su remarks that AMG’s new chip will allow researchers to complete tasks faster without additional GPUs.
As proof of its worthiness, the chip’s launch ran the Falcon 40B LLM, with Su hailing the offering as the “first time an LLM of this size can be run entirely in memory.” In addition to the chip, AMD floated a GPU programming software stack to serve as a direct contender with NVIDIA’s CUDA, but it remains unclear if the industry’s giants like Google’s (NASDAQ: GOOGL) Bard will pivot to AMG.
The AI hype has provided a range of benefits for both firms, given the recent valuations of both technology firms. Nvidia hit a $1 trillion valuation, while AMD shares have climbed by 94% since the start of the year, attracting several investors along the way.
OpenAI CEO Sam Altman has indicated a desire to invest in local South Korean chip manufacturers as his firm may be pivoting to Korean chips to supplement supply from Taiwan.
Regulators join the party
Tech firms are not the only ones creating the buzz in AI, with regulators also sending ripples across the ecosystem. After establishing regulation for the digital currency industry, European regulators upped the ante following the greenlight of an overarching AI legal framework seeking to protect users’ privacy and ensure safe usage of the technology.
The proposed legislation is pushing for a regional ban on predictive policing and emotion recognition systems using AI while urging service providers to clearly label AI-generated content. The rules order AI service providers to test-run their proposed platforms in regulatory sandboxes ahead of retail rollouts.
In order for artificial intelligence (AI) to work right within the law and thrive in the face of growing challenges, it needs to integrate an enterprise blockchain system that ensures data input quality and ownership—allowing it to keep data safe while also guaranteeing the immutability of data. Check out coverage on this emerging tech to learn more why Enterprise blockchain will be the backbone of AI.
Conversations with Owen Vaughan & Alessio Pagani: Blockchain can bring accountability to AI
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