Tenstorrent details its RISC-V packed Blackhole chips
Tenstorrent's Blackhole AI accelerators claim superior performance and scalability compared to Nvidia A100, redefining chip performance in AI applications.
AI infrastructure hopefuls find unlikely ally in Qualcomm
Qualcomm partners with Ampere for AI infrastructure, leveraging AI 100 accelerators for large models and batch sizes.
Apple reportedly developing AI chips for servers
Apple is developing its custom AI accelerators for server chips named ACDC, building on its chip design experience and transitioning to its own Arm-compatible silicon.
New Huawei MateBook X Pro 2024 weighs just 980g, packs an Intel Core Ultra 9 processor
Lightweight and thin design, weighing only 980g and measuring 13.5mm.
Powerful performance with the new Intel Ultra 9 processor and Arc GPU, offering configurations to suit various budgets.
Intel Gaudi's third, final hurrah posited as H100 contender
Intel's Habana Gaudi3 AI accelerators aim to compete with Nvidia's H100 in training and inference tasks.
Habana Gaudi3 features a unique multi-die architecture with focus on AI workloads, distinct from traditional GPUs.
Nvidia's next-gen Blackwell platform will come to Google Cloud in early 2025 | TechCrunch
New instance types and accelerators announced at Google Cloud Next, emphasizing AI accelerators and custom chips.
Google and Nvidia partnership for A3 Mega instance and confidential A3 instance to enhance AI training and protect sensitive data.
Tens of thousands of GPUs go under-utilized in the cloud
Cloud providers are deploying a large number of GPUs and AI accelerators, but evidence suggests they are being under-utilized.
TechInsights estimates that in 2023 alone, 878,000 accelerators were responsible for $5.8 billion in revenue, but this figure could be much higher if clusters were operating closer to capacity.
Ongoing Saga: How Much Money Will Be Spent On AI Chips?
AI spending is extensive and complex to estimate accurately, with projections indicating substantial growth in AI accelerator market size.
Companies investing in AI accelerators and related chips face challenges in tracking utilization and performance of these technologies within systems.
Etched scores $120M for an ASIC built for transformer models
Etched is developing an inference chip, Sohu, specialized in serving transformer models, claiming a 20x performance advantage over Nvidia's H100 by focusing on a specific type of AI model.