RTX 5090

UK

{"@context":"https://schema.org","@graph":[{"@type":"Service","@id":"https://gpuaas.com/gpu/rtx-5090-llm-inference#service","name":"RTX 5090 for LLM Inference","provider":{"@type":"Organization","name":"GPUaaS.com","url":"https://gpuaas.com"},"serviceType":"GPU cloud infrastructure","description":"RTX 5090 for LLM inference: 32GB GDDR7 fits models up to roughly 41B at 4-bit. Price per hour, specs and how it compares with H100. Quoted per enquiry."},{"@type":"WebPage","@id":"https://gpuaas.com/gpu/rtx-5090-llm-inference#webpage","url":"https://gpuaas.com/gpu/rtx-5090-llm-inference","name":"RTX 5090 for LLM Inference","isPartOf":{"@type":"WebSite","name":"GPUaaS.com","url":"https://gpuaas.com"}},{"@type":"BreadcrumbList","@id":"https://gpuaas.com/gpu/rtx-5090-llm-inference#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":"RTX 5090 for LLM Inference","item":"https://gpuaas.com/gpu/rtx-5090-llm-inference"}]},{"@type":"FAQPage","@id":"https://gpuaas.com/gpu/rtx-5090-llm-inference#faq","mainEntity":[{"@type":"Question","name":"Is RTX 5090 good for LLM inference?","acceptedAnswer":{"@type":"Answer","text":"Yes, for models that fit in 32GB: roughly 41B parameters at 4-bit or about 9B at 16-bit. It delivers strong single-GPU throughput at a fraction of datacenter-card rates, though larger models or very long contexts need H100 or H200 memory."}},{"@type":"Question","name":"What are the RTX 5090 specs and VRAM for inference?","acceptedAnswer":{"@type":"Answer","text":"32GB of GDDR7 VRAM on a 512-bit bus, 1.79TB/s of bandwidth, 575W TDP and 21,760 CUDA cores, on the Blackwell architecture with 5th-generation Tensor Cores and FP4 support. It launched on 30 January 2025."}},{"@type":"Question","name":"How does RTX 5090 compare with the 4090 for inference?","acceptedAnswer":{"@type":"Answer","text":"RTX 5090 moves to 32GB of GDDR7 and 1.79TB/s of bandwidth, against the 4090's 24GB and roughly 1TB/s. That fits larger models and decodes faster on the same model. Below 24GB the gain is mostly bandwidth; above it, memory decides what runs at all."}},{"@type":"Question","name":"RTX 5090 vs H100 for LLM inference: which should I rent?","acceptedAnswer":{"@type":"Answer","text":"H100 offers 80GB, datacenter-class networking and a mature serving stack, at a tracked median near $3.33/hr. RTX 5090 costs a fraction of that and suits single-GPU serving of models up to roughly 41B parameters at 4-bit. Choose by model size and context length, not by rate alone."}},{"@type":"Question","name":"Does RTX 5090 support FP4 and common serving engines?","acceptedAnswer":{"@type":"Answer","text":"RTX 5090 has 5th-generation Tensor Cores with FP4 support. Serving engines such as vLLM and SGLang generally support recent NVIDIA cards, but FP4 support varies by engine and version, so confirm yours before assuming the full throughput gain."}},{"@type":"Question","name":"What is the RTX 5090 price per hour for inference?","acceptedAnswer":{"@type":"Answer","text":"Tracked on-demand RTX 5090 rates run from roughly $0.27/hr at the cheapest verified providers to about $0.99/hr, with a median near $0.70/hr across 20+ providers as of September 2026, and reserved monthly terms can sit lower, around $0.21/hr. RTX 5090 pricing through GPUaaS.com is quoted per enquiry and varies by commitment term, configuration and provider."}}]}]}