Tracked topic
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
…Design Methodology Insights with Synopsys Tools Re-Spins Get You Fired, Says Intel CEO Lip-Bu Tan Disaggregating LLM Inference: Inside the SambaNova Intel Heterogeneous Compute Blueprint Share this post via:
…Is Intel About to Take Flight? Disaggregating LLM Inference: Inside the SambaNova Intel Heterogeneous Compute Blueprint Who’s Buying America’s Foundry Future? Share this post via:
About Us llmda is a startup that is rapidly disrupting the status-quo in Hardware Systems & Semiconductor design. With an exceptional founding team & backed by top tier investors, llmda has gained significant…
…Thinking models, reasoning workloads, and trillion-parameter LLMs with massive context windows approaching 1M tokens ○ Graph Analytics: Social network analysis, fraud and anomaly detection, and recommendation systems What’s important is that…
…AI data center 2030 insights from McKinsey.) Advanced AI infrastructure cluster interconnects aren’t optional – LLM needs are already well beyond what a single GPU can accomplish. GPUs such as NVIDIA’s…
…An AI-Native Architecture That Eliminates GPU Inefficiencies Hardware is the Center of the Universe (Again) VSORA Board Chair Sandra Rivera on Solutions for AI Inference and LLM Processing Share this post…
…Disaggregating LLM Inference: Inside the SambaNova Intel Heterogeneous Compute Blueprint Who’s Buying America’s Foundry Future? Intel, Musk, and the Tweet That Launched a 1000 Ships on a Becalmed Sea Share…
…The Productivity Promise – AI Apps from RL to LLMs to Agents This panel moderated by industry journalist Junko Yoshida and featuring experts from Nvidia, Microsoft, AMD, Intel, and Synopsys explored the broader…
…Experience in implementing state-of-the-art neural networks, generative AI and LLMs embedded SW over SoCs /DSPs/NPUs. Familiarity with AI frameworks such as optimum PyTorch, Tensor Flow, vLLM, SgLang and…
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