…and pressure-test the strategy together.;Your finance team doesn't care about tokens per second. They care about predictable costs, compliance risk, and vendor lock-in. With agentic AI, the metrics…
…With token prices rising and subsidies slowing down, users are facing cost pressure for the first time. We don’t know whether the new cost pressure will actually drive enterprise users to…
…Related Story Agentic AI Pushes CPUs to Pack 400 GB of Memory, 4x More Than Today, as DRAM Shortage Spirals Toward 2027 Given that with long-context workloads, the pressure tends to…
…With about 4,000 tokens in context, both traditional configurations and the Lexar AI stack run at a slightly higher speed. However, for larger contexts, often needed at 256K tokens, only the…
…With about 4,000 tokens in context, both traditional configurations and the Lexar AI stack run at a slightly higher speed. However, for larger contexts, often needed at 256K tokens, only the…
…ephemeral, AI-native, KV cache—driving up power consumption, inflating cost per token, and leaving expensive GPUs underutilized. The NVIDIA Vera Rubin platform enables organizations to scale every phase of AI, from…
Microsoft's expansion into more layers of the AI landscape will put pressure on OpenAI , Anthropic, and Google. It should also give developers more options and reduce how much it costs to…
…first under memory pressure. A research agent with a 200K context window needs workers with enough free KV capacity to hold its full state. The router’s default cost function (overlap score…
…NVIDIA Run:ai’s intelligent scheduling strategies : Four key capabilities that enhance performance (lower latency, increase TPS/GPU) while increasing GPU utilization and reducing compute costs. Benchmarking results : ~2x GPU utilization improvement…
Agentic AI / Generative AI Speeding Up Variable-Length Training with Dynamic Context Parallelism and NVIDIA Megatron Core Jan 28, 2026 By Kunlun Li , Tailai Ma , Parth Mannan , Sophia Yang , Guohao Wu and…