GB300

UK

{"@context":"https://schema.org","@graph":[{"@type":"Service","@id":"https://gpuaas.com/gpu/gb300-ai-agents#service","name":"GB300 for AI Agents","provider":{"@type":"Organization","name":"GPUaaS.com","url":"https://gpuaas.com"},"serviceType":"GPU cloud infrastructure","description":"GB300 NVL72 for AI agents: rack-scale memory for long contexts and many concurrent sessions, price per hour and how it compares with B300. Quoted per enquiry."},{"@type":"WebPage","@id":"https://gpuaas.com/gpu/gb300-ai-agents#webpage","url":"https://gpuaas.com/gpu/gb300-ai-agents","name":"GB300 for AI Agents","isPartOf":{"@type":"WebSite","name":"GPUaaS.com","url":"https://gpuaas.com"}},{"@type":"BreadcrumbList","@id":"https://gpuaas.com/gpu/gb300-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":"GB300 for AI Agents","item":"https://gpuaas.com/gpu/gb300-ai-agents"}]},{"@type":"FAQPage","@id":"https://gpuaas.com/gpu/gb300-ai-agents#faq","mainEntity":[{"@type":"Question","name":"Is GB300 worth it over B300 for AI agents?","acceptedAnswer":{"@type":"Answer","text":"When you serve many long-running agent sessions at once, or contexts long enough that KV cache dominates memory, and a rack-scale pool avoids sharding across slower links. For typical agent traffic that fits on B300 or H200 nodes, those nodes are simpler and usually cheaper."}},{"@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 a single large memory pool, with 20TB of HBM3e across 72 GPUs in one NVLink domain. That can reduce cache eviction and re-computation, though real gains depend on your serving engine and session mix."}},{"@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 the rack adds cost without a matching benefit."}},{"@type":"Question","name":"How much power does a GB300 NVL72 rack draw?","acceptedAnswer":{"@type":"Answer","text":"Roughly 135-140kW per rack, built on GPUs drawing roughly 1,400W each, which requires liquid cooling and secured power. This concentrates GB300 supply among operators who control their own power and cooling."}},{"@type":"Question","name":"Is GB300 available for agent workloads?","acceptedAnswer":{"@type":"Answer","text":"Narrower than single-card generations, since GB300 is deployed as whole racks by a limited set of operators. Confirm genuine availability directly, and note that most volume sits in reserved terms."}},{"@type":"Question","name":"What is the GB300 price per hour for AI agents compared with B300?","acceptedAnswer":{"@type":"Answer","text":"Tracked on-demand GB300 rates span roughly $4.00 to $18.00 per GPU as of September 2026 with an approximate median near $9.50, against B300's $7.50 median. The provider set is thin and several platforms quote only on request, so GB300 pricing is quoted per enquiry and varies by commitment term, configuration and rack allocation."}}]}]}