RTX PRO 6000 is the card that puts 70B-class inference on a single GPU at a mid-range price. Its 96GB of GDDR7 ECC at up to 1.79TB/s fits Llama 3.3 70B at FP8 with KV cache headroom, or roughly 146B parameters at 4-bit quantization. That is more memory than H100's 80GB at a lower hourly rate, with a tracked median near $2.20/hr across 40+ providers against $3.33/hr for H100. It is PCIe-only with no NVLink, so it suits single-GPU serving and independent replicas rather than models that must span cards. Full RTX PRO 6000 specs are available on request. RTX 5090 for LLM inference is the lower-cost option for models that fit in 32GB, and H100 and H200 are the step up for multi-GPU serving.
RTX PRO 6000 earns its place in inference through memory at a mid-range price. 96GB of GDDR7 ECC at up to 1.79TB/s fits Llama 3.3 70B at FP8 with room for KV cache, or roughly 146B parameters at 4-bit, which puts 70B-class serving on a single card at a tracked median near $2.20/hr. MIG adds hardware partitioning for serving several models or tenants on one GPU. The limit is interconnect: the card is PCIe-only with no NVLink, so serving that has to span several GPUs belongs on H100 or H200, and models that fit in 32GB are cheaper on RTX 5090. RTX PRO 6000 is offered as a Server Edition built for datacenter racks and as Workstation editions, so confirm the edition and its terms with the operator.
RTX PRO 6000 capacity is confirmed across major clouds and specialist providers in many markets. Confirm the operator and edition for your location. See RTX PRO 6000 availability by country below.
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