NVIDIA B300 SXM6 AC vs NVIDIA RTX 3500 Embedded Ada Generation Comparison

The NVIDIA B300 SXM6 AC and the NVIDIA RTX 3500 Embedded Ada Generation occupy opposite ends of the GPU spectrum. One is a massive server accelerator built for datacenter scale, the other is a compact embedded module designed for power-constrained systems. The recorded data shows a clear performance hierarchy, but each part serves a distinct purpose. This analysis draws strictly from the database measurements and specifications.

Where Each One Wins

The B300 SXM6 AC wins decisively in raw compute throughput. Its Geekbench OpenCL score of 369,831 places it in the 100th percentile of all GPUs in the database, meaning it outperforms every other recorded part. The nearest rival, the NVIDIA B200, scores 345,482, which is 7% lower. The H200 NVL trails by 10.4% with 334,891, while the AMD Instinct MI300X is 16.3% behind at 317,994. The L40S, a strong workstation card, sits 25% lower at 295,763. The B300’s FP32 compute reaches 76.99 TFLOPS, and its FP16 performance matches at 76.99 TFLOPS (1:1). This makes it the clear winner for any workload that saturates GPU arithmetic units, such as large-scale AI training, scientific simulation, or high-throughput inference.

The RTX 3500 Embedded Ada Generation wins in efficiency and physical integration. Its TDP is 100 W, compared to the B300’s 1100 W. The suggested PSU for the RTX 3500 is 300 W, while the B300 requires a 1500 W unit. The RTX 3500 is an IGP slot-width module with no power connectors, drawing all power through the motherboard. The B300 is an SXM Module, which demands a server chassis with dedicated power delivery. In the database, the RTX 3500 has no recorded benchmark scores, so its percentile sits at 50, exactly the median of all GPUs. Its FP32 compute is 23.04 TFLOPS, and FP16 is 23.04 TFLOPS (1:1). That is roughly 30% of the B300’s FP32 output, but at about 9% of the power draw.

The B300 also wins on memory capacity and bandwidth. It has 288 GB of HBM3e on an 8192-bit bus, delivering 8.19 TB/s. The RTX 3500 has 12 GB of GDDR6 on a 192-bit bus, providing 432.0 GB/s. The B300’s memory bandwidth is nearly 19 times higher, and its capacity is 24 times larger. For models or datasets that exceed 12 GB, the RTX 3500 simply cannot load them, while the B300 can hold enormous working sets.

Architecture Differences

The two GPUs use different chip designs from different generations. The B300 uses the GB110 chip on the Blackwell Ultra architecture, part of the Server Blackwell (Bxx) generation. The RTX 3500 uses the AD104 chip on Ada Lovelace, part of the Ada-MW generation. Both are built on a 5 nm process at TSMC, but the transistor counts differ dramatically. The B300 packs 208,000 million transistors on a 1628 mm² die, yielding a transistor density of 127.8M per mm². The RTX 3500 has 35,800 million transistors on a 294 mm² die, with a density of 121.8M per mm². The B300’s die is over five times larger, which explains its massive compute and memory resources.

Core configuration diverges sharply. The B300 has 18,944 shading units, 592 TMUs, and 24 ROPs. The RTX 3500 has 5,120 shading units, 160 TMUs, and 64 ROPs. The B300 has more shading units and TMUs, but fewer ROPs. The RTX 3500’s pixel rate is 144.0 GPixel/s, which is higher than the B300’s 48.77 GPixel/s. This is a direct result of the ROP count: the RTX 3500 has 64 ROPs versus 24 on the B300. The B300 compensates with a texture rate of 1,202.9 GTexel/s versus 360.0 GTexel/s on the RTX 3500.

Tensor cores also differ. The B300 includes 592 tensor cores, while the RTX 3500 has 160. The RTX 3500 adds 40 RT cores, which are absent from the B300’s listed specifications. This suggests the B300 is not designed for real-time ray tracing, while the RTX 3500 supports it. The RTX 3500 also exposes a full API stack: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The B300 lists N/A for DirectX, OpenGL, and Vulkan. For graphics workloads, the RTX 3500 is the only one of the two with software support.

Clock speeds favor the RTX 3500. Its base clock is 1725 MHz and boost clock is 2250 MHz. The B300 runs at 1665 MHz base and 2032 MHz boost. The RTX 3500’s memory runs at 2250 MHz with 18 Gbps effective, while the B300’s memory is 2000 MHz with 8 Gbps effective. The B300’s bandwidth advantage comes from its 8192-bit bus and HBM3e, not from raw clock speed.

The bus interface differs as well. The B300 uses PCIe 6.0 x16, while the RTX 3500 uses PCIe 4.0 x16. The B300 has no display outputs, and the RTX 3500 also has no display outputs. Both are compute-oriented modules without video connectors. The RTX 3500’s series is listed as GeForce 30-series, though its architecture is Ada Lovelace, which is unusual. The B300’s series is null, indicating it is a standalone server part.

The Verdict

The database shows the B300 SXM6 AC as the absolute performance leader. Its percentile of 100 means it outperforms every GPU in the database, including the B200, H200 NVL, MI300X, and L40S. The recorded Geekbench OpenCL score of 369,831 is the highest. For any workload that can use massive parallel compute and enormous memory, the B300 is the top choice. It has 288 GB of HBM3e, 76.99 TFLOPS of FP32, and 8.19 TB/s of bandwidth. The 1100 W TDP and 1500 W suggested PSU indicate it belongs in a datacenter rack, not a desktop. Its release date is 2025-09-10, making it a current-generation server accelerator. Its predecessor is Server Hopper, and its successor is Server Rubin.

The RTX 3500 Embedded Ada Generation is the opposite. It has no recorded benchmark scores, so its performance percentile sits at 50, the median. Its FP32 output of 23.04 TFLOPS is much lower, and its memory capacity of 12 GB is small. However, its 100 W TDP and 300 W suggested PSU make it suitable for embedded systems, mobile workstations, or industrial PCs where power and space are limited. The IGP slot width and lack of power connectors simplify integration. Its release date is 2023-03-20, and its predecessor is Ampere-MW, with a successor of Blackwell-MW. It supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, which the B300 does not.

The data indicates no overlap in use cases. The B300 wins on absolute performance, memory, and bandwidth. The RTX 3500 wins on power efficiency, physical footprint, and API support. A system builder needing maximum compute per socket should choose the B300. A designer needing a low-power, self-contained module for embedded applications should choose the RTX 3500. The B300’s 24 ROPs and 48.77 GPixel/s pixel rate are poor for rasterization, while the RTX 3500’s 64 ROPs and 144.0 GPixel/s are better suited for display workloads, despite having no display outputs. The RTX 3500’s 40 RT cores also enable ray tracing, a feature absent from the B300.

FAQ

Q: Which GPU has a higher Geekbench OpenCL score?

A: The NVIDIA B300 SXM6 AC scores 369,831, while the RTX 3500 Embedded Ada Generation has no recorded benchmark score.

Q: How much memory does each GPU have?

A: The B300 has 288 GB of HBM3e, and the RTX 3500 has 12 GB of GDDR6.

Q: What is the power consumption of the RTX 3500 Embedded Ada Generation?

A: Its TDP is 100 W, and the suggested PSU is 300 W.

Q: Does the B300 support DirectX or Vulkan?

A: No, the B300 lists N/A for DirectX, OpenGL, and Vulkan. The RTX 3500 supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: What is the transistor count difference between the two chips?

A: The B300 has 208,000 million transistors on a 1628 mm² die, while the RTX 3500 has 35,800 million transistors on a 294 mm² die.

Q: Which GPU has higher pixel rate?

A: The RTX 3500 has a pixel rate of 144.0 GPixel/s, which is higher than the B300’s 48.77 GPixel/s.

Head-to-Head Benchmarks

The head-to-head benchmark list is empty in the database, but the Geekbench OpenCL score for the B300 provides a reference point. The B300 scores 369,831, which is 7% higher than the B200’s 345,482. That delta translates to a 24,349 point gap. Against the H200 NVL, the B300 leads by 10.4%, or 34,940 points. The AMD Instinct MI300X trails by 16.3%, a 51,837 point difference. The L40S, a more accessible workstation GPU, is 25% behind with a 74,068 point gap. These results show the B300’s dominance across the datacenter GPU landscape.

The RTX 3500 has no scores in the database, so its performance cannot be directly compared to the B300. Its FP32 compute of 23.04 TFLOPS is exactly one-third of the B300’s 76.99 TFLOPS. The RTX 3500’s FP16 is also 23.04 TFLOPS, matching the B300’s 1:1 ratio. However, the RTX 3500’s memory bandwidth of 432.0 GB/s is roughly 5.3% of the B300’s 8.19 TB/s. The RTX 3500’s texture rate of 360.0 GTexel/s is about 30% of the B300’s 1,202.9 GTexel/s.

The pixel rate comparison is the only metric where the RTX 3500 wins. At 144.0 GPixel/s, it is nearly three times the B300’s 48.77 GPixel/s. This is due to the RTX 3500’s 64 ROPs versus 24 on the B300. The B300’s transistor density of 127.8M per mm² is higher than the RTX 3500’s 121.8M per mm², indicating a slightly more efficient packing of transistors on the larger die.

The B300’s clocks are lower on paper, with a base of 1665 MHz and boost of 2032 MHz, but its compute advantage stems from the sheer number of cores. The RTX 3500 boosts to 2250 MHz, which is 218 MHz higher than the B300. The B300’s memory clock is 2000 MHz with 8 Gbps effective, while the RTX 3500’s memory is 2250 MHz with 18 Gbps effective. The B300’s 8192-bit bus width is over 42 times wider than the RTX 3500’s 192-bit bus, which is why bandwidth is so much higher despite the lower effective clock.

In summary, the B300 wins every compute and memory benchmark where data exists. The RTX 3500 wins only in pixel rate and API compatibility. The database shows no head-to-head test results, so the Geekbench score is the sole direct performance metric, and it belongs exclusively to the B300.