Nvidia is developing a new AI chip based on its cutting-edge Blackwell architecture specifically for the Chinese market that significantly outperforms the currently authorized H20 model, Nvidia said on August 19, 2025. The chip, codenamed B30A, would deliver approximately half the performance of the company's most advanced modell,
Huawei announced in August 2025 that it will make its CANN AI GPU toolkit and Unified Cache Manager (UCM) framework open source, directly challenging Nvidia's CUDA platform's nearly two-decade monopoly in AI development ecosystems. This strategic move is particularly significant within the context of China'
AI infrastructure startup Parasail officially launched its AI Deployment Network platform on 2 April 2025, offering real-time, on-demand access to GPU resources, including Nvidia's H100, H200, A100, and 4090 GPUs, at significantly lower costs than traditional cloud providers. The company's proprietary orchestration engine automatically matches workloads
NVIDIA’s annual GPU Technology Conference (GTC) in March 2025 drew significant interest, but investors responded with muted enthusiasm to CEO Jensen Huang’s two-hour keynote speech, resulting in a 3.4% drop in the company’s share price on 18 March. Investors had anticipated announcements of new revenue streams;
At the 2025 GPU Technology Conference (GTC), Nvidia outlined its plans for developing the next generation of data centre GPUs. The AI architecture, named Vera Rubin, is expected to debut in the second half of 2026 and promises a significant performance boost compared to the current Blackwell chips. The Vera
On 12th March 2025, Google unveiled its open-source artificial intelligence model family called Gemma 3, which utilises technology based on the Gemini 2.0 models and delivers exceptional performance whilst running on just a single GPU or TPU device. The model's outstanding capabilities include support for 140 languages,
The HUN-REN Cloud organized an online workshop on February 19, 2025, responding to the growing demand for efficient and scalable computing capacity in artificial intelligence development. The workshop demonstrated how researchers can leverage multiple GPU resources simultaneously in cloud-based infrastructure. At the event, experts from HUN-REN SZTAKI, including Péter Kacsuk,
