2 posts tagged with "Rubin"

336 billion transistors. 288 GB of HBM4 per GPU. 22 TB/s memory bandwidth. 50 petaFLOPS of FP4 inference per chip.

Those are the numbers NVIDIA is putting behind Rubin, the successor to Blackwell, announced at CES 2026 and entering production for H2 2026 deployment. GTC 2026 kicks off March 16 in San Jose, where Jensen Huang is expected to go deep on Rubin's architecture, pricing signals, and the software stack updates that make these numbers real.

For most AI teams in 2026, the answer is clear: rent Blackwell now. NVIDIA's Rubin platform promises transformational gains, including 10x lower inference token costs and 5x per-GPU compute. But volume shipments won't begin until H2 2026, and meaningful cloud availability for non-hyperscaler customers likely extends into 2027. Meanwhile, Blackwell B200 GPUs are available today across 15+ cloud providers at $3–$5/hr on independent platforms, delivering 3x inference throughput over H200 and 15x over H100. Historical GPU pricing data shows that next-gen announcements don't crash current-gen prices. Supply expansion does. Pay-as-you-go cloud billing eliminates lock-in risk entirely. This report compiles every verified fact, benchmark, and pricing data point you need to make the decision.