“Elon Musk wants Tesla to iterate new AI accelerators faster than AMD and Nvidia.”

“The article's target audience includes those familiar with Python, AI accelerators, and Intel processor internals, suggesting a technical deep dive.”

“The article states TSMC is 'strong'.”

“This is a placeholder, as the original article content is missing.”

“TSMC reports Q4 net profit up 35% YoY to a record ~$16B, handily beating estimates, as it benefited from surging demand for AI chips”

“OpenAI will use Cerebras’ chips to power its ChatGPT.”

“Collective Communication (CC) is at the core of data exchange between multiple accelerators.”

“full MI400-series family fulfills a broad range of infrastructure and customer requirements”

“Now his South Korean company, FuriosaAI, has an AI chip entering mass production.”

“The predicted melting temperature of 6225 K at 330 GPa.”

“Utilizing 2:4 sparsity combined with quantization on $4096 imes 4096$ matrices, our approach achieves a reduction of up to $4\times$ in weight storage and a $1.71\times$ speedup in matrix multiplication, yielding a $1.29\times$ end-to-end latency reduction compared to dense GPU baselines.”

“The discovered accelerator, featuring second differences and cross-product terms, achieved over 75 percent success rate in improving convergence compared to raw sequences.”

“The sun's time variable magnetic flux linkage makes the sun...a natural, all-purpose, betatron storage ring, with semi-infinite acceptance aperture, capable of storing and accelerating counter-circulating, opposite-sign, colliding beams.”

“The survey reviews the technology landscape for hardware acceleration of deep learning, spanning GPUs and tensor-core architectures; domain-specific accelerators (e.g., TPUs/NPUs); FPGA-based designs; ASIC inference engines; and emerging LLM-serving accelerators such as LPUs (language processing units), alongside in-/near-memory computing and neuromorphic/analog approaches.”

“China's "cautious approach" reflects a game of realistic limitations and strategic choices.”

“KernelEvolve reduces development time from weeks to hours and achieves substantial performance improvements over PyTorch baselines.”

“TYTAN achieves ~2 times performance improvement, with ~56% power reduction and ~35 times lower area compared to the baseline open-source NVIDIA Deep Learning Accelerator (NVDLA) implementation.”

“The most critical development of 2025 was the integration of automatic verification systems...into the AI training and inference loop.”

“Cerebras seems like a bigger threat to Nvidia than Groq...”

“Optimal hardware configuration: high operating frequencies (1200MHz-1400MHz) and a small local buffer size of 32KB to 64KB achieves the best energy-delay product.”

“LLA can withstand a broad range of oracle-guided key optimization attacks, while incurring a minimal computational overhead of less than 0.1% for 7,168 key bits.”

“Groq announced that it has entered into a non-exclusive licensing agreement with NVIDIA regarding Groq's inference technology.”

“The report said Nvidia agreed to acquire Groq for approximately $20 billion.”

“This acquisition... signals its strong ambition to solidify its dominance in the AI hardware sector.”

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“users can perform advanced searches and complex analyses using natural language queries without SQL or data analysis expertise.”

“The paper focuses on accelerating hybrid homomorphic encryption on edge devices.”

“A 28nm 0.22 μJ/token memory-compute-intensity-aware CNN-Transformer accelerator is presented.”

“The NVIDIA RTX PRO 5000 72GB Blackwell GPU is now generally available, bringing robust agentic and generative AI capabilities powered by the NVIDIA Blackwell architecture to more desktops and professionals across the world.”

“The research focuses on the prediction of beam transverse position, phase, and length.”

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“SeVeDo is a heterogeneous transformer accelerator for low-bit inference.”

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“Enterprises face increasing pressure to modernize their data stacks. Teams need to...”

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“The paper focuses on Dynamic Cache Orchestration for LLM Accelerators through Predictive Management.”

“The article's source is ArXiv.”

“The article focuses on a compiler toolchain facilitating the transition from PyTorch to ML accelerators.”

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“"Democratization is the name of the game for us," says Björn Manuel Hegelich, founder and CEO of TAU Systems in Austin, Texas. "We want to get these incredible tools into the hands of the best and brightest and let them do their magic."”

“FADiff focuses on DNN scheduling on Tensor Accelerators.”

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“We've launched the Together AI Startup Accelerator: Up to $50K credits, expert engineering hours, GTM support, community and VC access for AI-native apps in build–scale tiers.”

“OpenAI and Broadcom to deploy 10 GW of OpenAI-designed AI accelerators.”

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“LLM inference that gets faster as you use it. Our runtime-learning accelerator adapts continuously to your workload, delivering 500 TPS on DeepSeek-V3.1, a 4x speedup over baseline performance without manual tuning.”