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Physics AI research that’s shaping the industry.
Published breakthroughs pushing the state of the art.
GLM-5.2 is the new leading open weights model on the Artificial Analysis Intelligence Index
Benchmarks and Analysis of GLM-5.2
Why Validation Will Define the Future of HPC and AI
As AI becomes part of HPC workflows, validation, data quality, and trust are emerging as key factors in technology and buying decisions.
The KV Cache Compression Race: TurboQuant vs OSCAR vs EpiCache
Long-context large language models (LLMs) face a memory bottleneck that has nothing to do with model weights. During decoding, transformers cache the key and value (KV) vectors for every token at every layer so they don’t have to recompute attention. This cache grows linearly with sequence length and batch size, and at long context with high concurrency it can dwarf the model’s own footprint. Consider Llama-3.1-70B in BF16. Its KV cache costs about 0.31 MB per token (80 layers ×
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