Cutting corners: Faced with rising memory costs, Meta says it is reusing old DDR4 RAM in its servers rather than buying new hardware. The company revealed this week that it is repurposing DDR4 memory ...

Want a sleek new Microsoft Surface Pro laptop? The latest models start at $1,599, or $600 more than the previous generation, the PC maker said this past week. Dying to buy a Nintendo Switch 2 console ...

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 time you ask ChatGPT a question, your request triggers a data relay race. Information leaves memory, passes through a CPU for preprocessing, travels to a GPU for heavy computation, and then ...

Jurors began deliberating Thursday afternoon in the murder trial of Cache Shelton after prosecutors and defense attorneys delivered sharply contrasting accounts of what happened inside a downtown New ...

That's the loop. The other ~810 lines are persona loading, memory I/O, skill catalog, prompt-cache layout, safety guards, ANSI rendering, and a slash-command REPL. Read it ...

Google AI has introduced a major breakthrough with TurboQuant, a system that reduces KV cache memory usage by up to 6x while improving chatbot efficiency during real-time conversations. This allows AI ...

As large language models scale to longer context windows and serve more concurrent users, the key-value (KV) cache has emerged as a primary memory bottleneck in production inference systems. For a ...

Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches by up to 6x. With 3.5-bit compression, near-zero accuracy loss, and no ...

The new MemoryAI KV cache server from Penguin Solutions leverages CXL technology to expand memory capacity, enabling faster inference, higher throughput, and improved efficiency for complex AI ...