GB300
A high-performance computing hardware platform product introduced by NVIDIA, requiring high-precision automated testing and assembly processes.
Timeline (last 90 days)
vLLM provides day-0 support for NVIDIA Vera Rubin NVL72, reporting 7.8x throughput per GPU versus GB200 NVL72 (AgentX) and 3.7x VLM throughput versus GB300 (MLPerf v6.1), with locality domains tuned for MoE routing.
Beam's reinforcement learning phase used 1,500 GB300 chips running continuously for four weeks, generating over 100 million rollouts, with a maximum context length of 256K.
NVIDIA published an engineering practice record titled "The Machines that Make the Machines," describing how robots are taught to assemble GB300 test trays.
The GB300 is an NVIDIA hardware product for high-performance computing.
The automated assembly of GB300 test trays belongs to a high-precision, low-volume scenario where the batch size is insufficient to amortize the cost of fully customized automation, and the precision requirements exceed the capability boundaries of traditional teach programming.
Jalapeño has a rated power consumption of 700W with measured sustained power consumption not exceeding 550W; by comparison, the GB200 is rated at 1200W and the GB300 at 1400W.
In the DeepSeek R1 670B (MXFP4 precision) test, Jalapeño achieved approximately 1.7× throughput per watt (19,641 vs. GB300's 11,781), and end-to-end latency was reduced from 5.99 seconds to 1.65 seconds.
The appendix of this public benchmark only compared the GB200 and GB300, and did not include the upcoming Vera Rubin, which is about to enter mass production and shipment.
OpenAI's dual-rack system has a total power consumption of approximately 160 kilowatts, roughly equivalent to the power level of a dual-chassis GB300 rack
The GB300 is NVIDIA's data center GPU based on the Blackwell architecture.
All Facts (9)
In the DeepSeek R1 670B (MXFP4 precision) test, Jalapeño achieved approximately 1.7× throughput per watt (19,641 vs. GB300's 11,781), and end-to-end latency was reduced from 5.99 seconds to 1.65 seconds.
60%UnverifiedvLLM provides day-0 support for NVIDIA Vera Rubin NVL72, reporting 7.8x throughput per GPU versus GB200 NVL72 (AgentX) and 3.7x VLM throughput versus GB300 (MLPerf v6.1), with locality domains tuned for MoE routing.
50%UnverifiedBeam's reinforcement learning phase used 1,500 GB300 chips running continuously for four weeks, generating over 100 million rollouts, with a maximum context length of 256K.
50%UnverifiedNVIDIA published an engineering practice record titled "The Machines that Make the Machines," describing how robots are taught to assemble GB300 test trays.
50%UnverifiedThe GB300 is an NVIDIA hardware product for high-performance computing.
50%UnverifiedThe automated assembly of GB300 test trays belongs to a high-precision, low-volume scenario where the batch size is insufficient to amortize the cost of fully customized automation, and the precision requirements exceed the capability boundaries of traditional teach programming.
50%UnverifiedJalapeño has a rated power consumption of 700W with measured sustained power consumption not exceeding 550W; by comparison, the GB200 is rated at 1200W and the GB300 at 1400W.
50%UnverifiedOpenAI's dual-rack system has a total power consumption of approximately 160 kilowatts, roughly equivalent to the power level of a dual-chassis GB300 rack
50%UnverifiedThe GB300 is NVIDIA's data center GPU based on the Blackwell architecture.
50%