DeepSeek's new Engram AI model separates recall from reasoning with hash-based memory in RAM, easing GPU pressure so teams ...
Detailed in a recently published technical paper, the Chinese startup’s Engram concept offloads static knowledge (simple ...
Nvidia has developed a version of its H100 GPU specifically for large language model and generative AI development. The dual-GPU H100 NVL has more memory than the H100 SXM or PCIe, as well as more ...
Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
Deploying a custom language model (LLM) can be a complex task that requires careful planning and execution. For those looking to serve a broad user base, the infrastructure you choose is critical.
Modern compute-heavy projects place demands on infrastructure that standard servers cannot satisfy. Artificial intelligence ...
The development underscores the start-up's focus on maximising cost efficiency amid a deficit in computational power relative ...
A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...
A new technical paper titled “Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference” was published by researchers at Barcelona Supercomputing Center, Universitat Politecnica de ...
SoftBank plans to deploy "Infrinia AI Cloud OS" initially within its own GPU cloud services. Furthermore, the Infrinia Team ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback