NVIDIA B300 SXM6 AC vs NVIDIA RTX 5000 Ada Generation Comparison

The NVIDIA B300 SXM6 AC and NVIDIA RTX 5000 Ada Generation occupy opposite ends of the NVIDIA professional spectrum. The B300 is a server-scale Blackwell Ultra accelerator built for massive compute, while the RTX 5000 Ada is a workstation card designed for desktop rendering and AI development. The data shows a clear performance hierarchy, but the right choice depends entirely on the workload and physical environment.

FAQ

Q: How large is the performance gap between the B300 SXM6 AC and the RTX 5000 Ada Generation?

A: In the only shared benchmark (Geekbench OpenCL), the B300 scores 369,831 versus 175,286 for the RTX 5000 Ada, a 111% delta in favor of the server card. The B300 also sits at the 100th percentile among all GPUs, while the RTX 5000 Ada ranks at the 98th.

Q: Which GPU has more memory, and does it matter?

A: The B300 has 288 GB of HBM3e on an 8192-bit bus, delivering 8.19 TB/s of bandwidth. The RTX 5000 Ada has 32 GB of GDDR6 on a 256-bit bus, yielding 576.0 GB/s. The B300's memory subsystem is roughly 14 times faster in bandwidth and nine times larger in capacity, making it suited for models that exceed 32 GB.

Q: Can the RTX 5000 Ada Generation output video?

A: Yes. It features 4x DisplayPort 1.4a outputs. The B300 SXM6 AC has no display outputs at all, as it is designed for compute-only server deployments.

Q: What are the physical power requirements of each card?

A: The B300 has a 1100 W TDP and requires a 1500 W suggested PSU. The RTX 5000 Ada has a 250 W TDP, uses a single 16-pin connector, and requires a 600 W suggested PSU. The B300 is also an SXM module, not a PCIe card like the dual-slot RTX 5000 Ada.

Q: Which card supports modern graphics APIs?

A: Only the RTX 5000 Ada Generation supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. The B300 reports N/A for all graphics APIs, confirming its compute-only role.

Q: How do the two cards compare to their closest rivals?

A: The B300 leads its nearest rival, the NVIDIA B200, by 7%, and the H200 NVL by 10.4%. The RTX 5000 Ada is essentially tied with the A100 SXM4 80 GB (0.5% ahead) and trails the A100 SXM4 40 GB by 1.3%.

The Verdict

The data points to a straightforward split. The NVIDIA B300 SXM6 AC is for organizations running massive AI training or inference clusters where memory capacity, bandwidth, and raw compute are the only currencies that matter. Its 288 GB HBM3e and 76.99 TFLOPS FP32 throughput place it in a class above any workstation card, and its 100th percentile rank confirms it sits at the top of the entire GPU database.

The NVIDIA RTX 5000 Ada Generation is for individual professionals who need a self-contained workstation GPU. It provides 65.28 TFLOPS FP32, 32 GB GDDR6, and full graphics API support with four display outputs. It draws 250 W, fits in a dual-slot form factor, and can be powered by a 600 W PSU. Its benchmark scores cluster near the A100 SXM4 variants, making it a strong mid-range compute card, but its 111% deficit to the B300 in OpenCL shows it is not in the same performance league.

Pick the B300 if you have a server chassis, a 1500 W power budget, and workloads that require more than 32 GB of memory. Pick the RTX 5000 Ada if you need a desktop GPU with display outputs, graphics API support, and modest power consumption.

Head-to-Head Benchmarks

There is only one direct benchmark comparison available: Geekbench OpenCL. The B300 SXM6 AC scores 369,831, while the RTX 5000 Ada Generation scores 175,286. The B300 wins by 111%, which is more than double the workstation card's score. This delta is consistent with the B300's 18944 shading units versus 12800 on the RTX 5000 Ada, and its 592 tensor cores versus 400.

The B300's advantage is not just in raw shader count. Its memory bandwidth of 8.19 TB/s dwarfs the 576.0 GB/s of the RTX 5000 Ada. For OpenCL workloads that are memory-bound, this 1,322% bandwidth advantage explains much of the 111% score gap. The B300 also has a higher texture rate at 1,202.9 GTexel/s versus 1,020.0 GTexel/s, indicating it can feed its shaders faster.

The RTX 5000 Ada does have one notable win in raw pixel throughput. Its pixel rate of 448.8 GPixel/s is more than nine times the B300's 48.77 GPixel/s. This is because the RTX 5000 Ada has 176 ROPs versus just 24 on the B300. However, this advantage is irrelevant for compute workloads and only matters for rasterization output, which the B300 cannot perform since it lacks display outputs.

Specification Differences

The two cards differ in nearly every measurable specification. The B300 uses an SXM module form factor, while the RTX 5000 Ada is a dual-slot PCIe card. The B300 has no display outputs; the RTX 5000 Ada has 4x DisplayPort 1.4a. The B300 uses PCIe 6.0 x16, while the RTX 5000 Ada uses PCIe 4.0 x16.

Memory is a major divergence: the B300 has 288 GB of HBM3e with an 8192-bit bus and 8.19 TB/s bandwidth. The RTX 5000 Ada has 32 GB of GDDR6 with a 256-bit bus and 576.0 GB/s bandwidth. Clock speeds also differ: the B300 runs at 1665 MHz base and 2032 MHz boost, while the RTX 5000 Ada runs at 1155 MHz base and 2550 MHz boost. The RTX 5000 Ada has a higher boost clock by 518 MHz, but the B300 compensates with more cores.

Power consumption is starkly different: the B300 has a 1100 W TDP and requires a 1500 W PSU. The RTX 5000 Ada has a 250 W TDP and a 600 W PSU recommendation. The B300 has no power connector listed because it uses the SXM socket, while the RTX 5000 Ada uses a single 16-pin connector. The RTX 5000 Ada also has physical dimensions of 267 mm length and 112 mm height; the B300 lists no dimensions.

Architecture Differences

The B300 is built on the Blackwell Ultra architecture using the GB110 chip, while the RTX 5000 Ada uses the Ada Lovelace architecture with the AD102 chip. Both are fabricated on a 5 nm process by TSMC, but the B300 has 208,000 million transistors on a 1628 mm² die, versus 76,300 million transistors on a 609 mm² die for the RTX 5000 Ada. The transistor density is similar (127.8M per mm² for the B300, 125.3M per mm² for the RTX 5000 Ada), but the B300's die is nearly three times larger.

The B300 has 18,944 shading units and 592 TMUs, while the RTX 5000 Ada has 12,800 shading units and 400 TMUs. The B300 also has 592 tensor cores, versus 400 on the RTX 5000 Ada. The RTX 5000 Ada has 100 dedicated RT cores, while the B300 does not report any RT core count. The B300 has 24 ROPs, the RTX 5000 Ada has 176.

The B300 is part of the Server Blackwell (Bxx) generation, succeeding Server Hopper. The RTX 5000 Ada is from the Workstation Ada generation, succeeding Workstation Ampere and preceding Blackwell PRO W. The B300's predecessor is Server Hopper, and its successor is Server Rubin. The RTX 5000 Ada has no graphics API support (N/A for DirectX, OpenGL, Vulkan), while the RTX 5000 Ada supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4.

Where Each One Wins

The B300 SXM6 AC wins in any workload that demands maximum memory capacity and bandwidth. Its 288 GB HBM3e pool can hold models that would never fit in the RTX 5000 Ada's 32 GB GDDR6. The 8.19 TB/s bandwidth is essential for training large language models or processing massive datasets. Its 76.99 TFLOPS FP32 and 76.99 TFLOPS FP16 (1:1) provide compute throughput that is 18% higher than the RTX 5000 Ada's 65.28 TFLOPS in both precisions. The B300 also has a higher texture rate (1,202.9 GTexel/s vs 1,020.0 GTexel/s) and a 7% lead over the NVIDIA B200, its closest rival.

The RTX 5000 Ada Generation wins in workstation and desktop scenarios. It has display outputs, which the B300 lacks entirely. It supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, making it the only option for graphics rendering or any application that uses these APIs. Its pixel rate of 448.8 GPixel/s is dramatically higher than the B300's 48.77 GPixel/s, giving it a decisive edge in rasterization output. Its 250 W TDP and 600 W PSU requirement make it deployable in standard desktop systems, whereas the B300 requires a server chassis and 1500 W PSU. The RTX 5000 Ada also has a higher boost clock (2550 MHz vs 2032 MHz), which helps in latency-sensitive interactive workloads. For compute tasks that fit within 32 GB, the RTX 5000 Ada's scores are competitive with the A100 SXM4 80 GB, sitting just 0.5% above it.