Vera Rubin

UK

{"@context":"https://schema.org","@graph":[{"@type":"Service","@id":"https://gpuaas.com/gpu/vera-rubin-ai-agents#service","name":"Vera Rubin for AI Agents","provider":{"@type":"Organization","name":"GPUaaS.com","url":"https://gpuaas.com"},"serviceType":"GPU cloud infrastructure","description":"Vera Rubin NVL72 for AI agents: rack-scale memory for long contexts and many concurrent sessions, specs, early-access price and how it compares with GB300."},{"@type":"WebPage","@id":"https://gpuaas.com/gpu/vera-rubin-ai-agents#webpage","url":"https://gpuaas.com/gpu/vera-rubin-ai-agents","name":"Vera Rubin for AI Agents","isPartOf":{"@type":"WebSite","name":"GPUaaS.com","url":"https://gpuaas.com"}},{"@type":"BreadcrumbList","@id":"https://gpuaas.com/gpu/vera-rubin-ai-agents#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://gpuaas.com"},{"@type":"ListItem","position":2,"name":"GPU Cloud","item":"https://gpuaas.com/cluster"},{"@type":"ListItem","position":3,"name":"Vera Rubin for AI Agents","item":"https://gpuaas.com/gpu/vera-rubin-ai-agents"}]},{"@type":"FAQPage","@id":"https://gpuaas.com/gpu/vera-rubin-ai-agents#faq","mainEntity":[{"@type":"Question","name":"Is Vera Rubin worth waiting for over GB300 for AI agents?","acceptedAnswer":{"@type":"Answer","text":"Only for fleets of long-running agents whose combined KV cache dominates memory, and only if the project can wait for reservation-only access. GB300 is the same rack-scale design available now, and typical agent traffic fits on B300 or H200 nodes at a fraction of the cost."}},{"@type":"Question","name":"What are the Vera Rubin NVL72 specs for AI agents?","acceptedAnswer":{"@type":"Answer","text":"Vera Rubin NVL72 pairs 72 Rubin GPUs with 36 Vera CPUs (88 Arm Olympus cores each), 288GB of HBM4 per GPU at 22TB/s, connected via NVLink 6, with an estimated rack draw of 190-230kW. For agents, the relevant figures are the memory per GPU and the shared NVLink domain."}},{"@type":"Question","name":"How does rack-scale memory help agents with long contexts?","acceptedAnswer":{"@type":"Answer","text":"A rack gives the KV cache for many concurrent long sessions one large memory pool, with HBM4 bandwidth behind it. That can reduce cache eviction and re-computation, though real gains depend on your serving engine and session mix, so validate on your own workload."}},{"@type":"Question","name":"What is Vera Rubin availability for agent workloads today?","acceptedAnswer":{"@type":"Answer","text":"Broad on-demand access is not available yet. Vera Rubin is on early-access reservation terms through a small set of cloud partners, and confirmed regional availability varies by market. Register interest with your session volume and timeline and we will confirm what is securable."}},{"@type":"Question","name":"Do multi-agent fleets or single long-context agents benefit more?","acceptedAnswer":{"@type":"Answer","text":"Multi-agent fleets with many concurrent long sessions benefit most, since the rack can hold their combined cache. A single agent with a long context usually fits on one B300 node, where a Vera Rubin rack adds cost without a matching benefit."}},{"@type":"Question","name":"What is the Vera Rubin price per hour for AI agents?","acceptedAnswer":{"@type":"Answer","text":"Tracked early-access Vera Rubin pricing starts around $11.00/hr on a reservation-only basis as of September 2026, with one July 2026 industry analysis citing roughly $8.50/hr per chip in 3-year rental cost comparisons. The market is very thin, so Vera Rubin pricing through GPUaaS.com is quoted per enquiry and varies by commitment term and configuration."}}]}]}