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'Another startup that will cause gaming GPU prices to spike': AI firm claims Radeon RX 7900 XTX GPUs are better value than Nvidia's H100 — nearly six hundred backers believe that is the case

Techradar

Techradar · 55y ago

'Another startup that will cause gaming GPU prices to spike': AI firm claims Radeon RX 7900 XTX GPUs are better value than Nvidia's H100 — nearly six hundred backers believe that is the case

Tiny Corp., a startup specializing in the neural network framework tinygrad, has introduced a new AI system called tinybox. This system employs six AMD Radeon RX 7900 XTX graphics cards and is designed to provide PetaFLOPS-class performance for artificial intelligence tasks. Priced at $15,000, the compact tinybox features high performance, with up to 738 FP16 TFLOPS and 96GB of GDDR6 memory delivering 21TB/s of aggregated memory bandwidth. The company has received 583 preorders and plans to begin shipping in April. The tinybox aims to offer an affordable alternative to Nvidia's H100 at a lower cost.

Related News

AMD promises “mainstream” 4K gaming with next-gen GPUs as current-gen GPU sales tank

Arstechnica

Arstechnica · 6m ago

AMD promises “mainstream” 4K gaming with next-gen GPUs as current-gen GPU sales tank

AMD plans to launch the new Radeon RX 9000-series GPUs, aiming to offer mainstream 4K gaming, in response to declining current-gen GPU sales. The 9070 XT and 9070 GPUs are set to hit the market in March 2025, promising improved power efficiency and enhanced ray-tracing through a new manufacturing process and ML-powered upscaling. Positioning itself against Nvidia's RTX 4070 series, AMD hopes to capture attention and market share with competitively priced GPUs.

'Instincts are massively cheaper than Nvidia's H100': AMD is selling flagship AI GPUs at a huge discount to Microsoft — but I'm not sure that will be enough to bother Nvidia

Techradar

Techradar · 1y ago

'Instincts are massively cheaper than Nvidia's H100': AMD is selling flagship AI GPUs at a huge discount to Microsoft — but I'm not sure that will be enough to bother Nvidia

AMD is offering its flagship AI GPUs, the Instincts, at a significant discount to Microsoft, providing a competitive alternative to Nvidia's pricier H100. The pricing difference between Nvidia's H100 and AMD's MI300X is substantial, with AMD's GPUs costing up to four times less. However, Nvidia's dominant position in the AI GPU market is unlikely to be substantially impacted due to its established software stack and high demand. AMD is predicted to generate $3.5 billion in AI-related revenue this year, but some analysts believe that figure could be underestimated.

AI Mission GPU L1 bidders set to get workloads assigned by April second week

Economic Times

Economic Times · 4m ago

AI Mission GPU L1 bidders set to get workloads assigned by April second week

Reliance Jio, E2E, NxtGen, Locuz, and CtrlS, as the lowest bidders in IndiaAI Mission's GPU tender, will receive AI workloads by April. The bid resulted in 14,517 GPUs offered against a target of 10,000. IndiaAI plans to continually update the tender process to adjust pricing and involve more companies. Nvidia's H100 GPUs form the majority, with E2E and Yotta leading. IndiaAI has also shortlisted 30 AI solutions for further development.

First crack in Nvidia AI wall? Meta set to use own AI chips in its servers in 2024 — but it will still use Nvidia H100 GPUs as well in its datacenters for now

Techradar

Techradar · 1y ago

First crack in Nvidia AI wall? Meta set to use own AI chips in its servers in 2024 — but it will still use Nvidia H100 GPUs as well in its datacenters for now

Meta Platforms, the parent company of Facebook, is planning to deploy its own custom-designed AI chips, called Artemis, in its data centers this year. This move aims to reduce Meta's reliance on Nvidia's H100 chips and control the rising costs of running AI workloads. The successful deployment of its own chip could save Meta hundreds of millions of dollars in energy costs and billions in chip purchasing costs. However, Meta will continue to use Nvidia's GPUs in its data centers, with plans to have 350,000 H100 processors in service by the end of the year.

NVIDIA, AMD may soon start selling new AI chips in China to comply with US restrictions | TechCrunch

TechCrunch · 2m ago

NVIDIA, AMD may soon start selling new AI chips in China to comply with US restrictions | TechCrunch

NVIDIA and AMD plan to sell new AI GPUs in China to align with U.S. export restrictions on advanced semiconductor technology. NVIDIA will offer a "B20" GPU, while AMD introduces the Radeon AI PRO R9700 for AI workloads. These sales are set to begin in July. NVIDIA also anticipates an $8 billion revenue impact in Q2 due to licensing constraints affecting its H20 chip sales in China, following a $4.5 billion hit in Q1.

Mark Zuckerberg is sitting on a mountain of the hottest commodity in tech right now

Business Insider

Business Insider · 1y ago

Mark Zuckerberg is sitting on a mountain of the hottest commodity in tech right now

Meta, formerly known as Facebook, is set to accumulate a large stockpile of Nvidia's highly sought-after H100 chips, with over 340,000 chips expected by the end of 2024. Additionally, Meta estimates they will have a total stockpile of 600,000 GPUs, including Nvidia's A100s and other AI chips. This move positions Meta ahead in the race for AI superiority as companies clamor to get their hands on limited supplies of AI chips.

How much energy does your AI prompt use? I went to a data center to find out.

Livemint

Livemint · 1m ago

How much energy does your AI prompt use? I went to a data center to find out.

Joanna Stern from The Wall Street Journal investigated the energy consumption of AI prompts by visiting a data center housing Nvidia DGX H100 GPUs. She uncovered the significant and often mysterious energy demands of these prompts, tracing their journey from personal devices to large, noisy, and expensive GPU clusters. This exploration highlights the broader impacts of AI technology on energy resources.

Could AMD break Nvidia’s chokehold on chips?

Livemint

Livemint · 1y ago

Could AMD break Nvidia’s chokehold on chips?

Advanced Micro Devices (AMD) has emerged as a strong competitor to Nvidia in the artificial intelligence (AI) chip market. AMD's new MI300 chip outperforms Nvidia's H100 chip in terms of specifications, and the company expects to sell $3.5 billion worth of MI300s in 2023. AMD's focus on CPUs for data-center servers and GPUs for gaming consoles has paid off, with its market value growing 100-fold to $270 billion. However, AMD still faces tough competition from Nvidia's dominance in AI accelerator chips, but its strong hardware and partnerships position it as a viable alternative.

Microsoft offers cloud customers AMD alternative to Nvidia AI processors

Economic Times

Economic Times · 1y ago

Microsoft offers cloud customers AMD alternative to Nvidia AI processors

Microsoft is set to introduce AMD artificial intelligence chips as an alternative to Nvidia's components at its Build developer conference. The company will sell clusters of AMD's MI300X AI chips through its Azure cloud computing service, offering customers an alternative to Nvidia's H100 family of powerful GPUs. AMD's chips are capable of training and running large AI models, and are expected to generate $4 billion in revenue this year. Microsoft will also preview its Cobalt 100 custom processors, which provide a 40% performance increase compared to other Arm-based processors.

Bidders flag end-of-life GPUs offered under IndiaAI Mission

Economic Times

Economic Times · 5m ago

Bidders flag end-of-life GPUs offered under IndiaAI Mission

Concerns have emerged over IndiaAI Mission’s use of end-of-life (EOL) GPUs, which some companies claim are unsuitable for mission-critical workloads due to potential lack of support. Although Nvidia's A100 GPUs are still powerful, they are no longer sold to OEMs. Critics worry about performance issues, while others argue they offer value given current GPU shortages. The debate centers around balancing cost-effectiveness with the risk of using outdated technology in evolving AI landscapes.

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