NVIDIA B300 vs NVIDIA GeForce RTX 5090 SE Comparison

Where Each One Wins

The recorded data places the NVIDIA B300 and the NVIDIA GeForce RTX 5090 SE in entirely different segments of the GPU market, and the benchmark results, while not featuring direct head-to-head scores, reveal their distinct purposes through their raw specifications and architectural configurations.

The NVIDIA B300 is a server-grade accelerator built for compute-heavy workloads. Its 144 GB of HBM3e memory with a 4096-bit bus and 4.10 TB/s of bandwidth positions it for massive data sets, AI training, and scientific simulations. The FP16 performance of 1,231.8 TFLOPS (16:1) is a clear indicator that this card is designed for matrix math and tensor operations at scale. The B300 also carries 18,944 shading units, 592 tensor cores, and a 1400 W TDP, which confirms its role as a dedicated compute node rather than a display-oriented graphics card.

The GeForce RTX 5090 SE, on the other hand, is a consumer graphics card built for rasterization and real-time rendering. Its 24 GB of GDDR7 memory on a 384-bit bus delivers 1.34 TB/s of bandwidth, which is sufficient for high-resolution gaming and content creation. The card includes 110 RT cores, 160 ROPs, and a much higher pixel rate of 380.3 GPixel/s, compared to the B300's 48.77 GPixel/s. The RTX 5090 SE also supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, while the B300 lists no display outputs and no graphics API support. The wins here are clear: the B300 dominates in memory capacity, memory bandwidth, FP16 compute, and tensor core count, while the RTX 5090 SE wins on pixel throughput, ROP count, RT core presence, and clock speeds.

The Verdict

From the data, the NVIDIA B300 is the choice for anyone running server-side AI inference, large-scale model training, or high-performance computing tasks that require enormous memory pools and extreme FP16 throughput. The 144 GB memory capacity alone is 6 times the RTX 5090 SE's 24 GB, and the 4.10 TB/s bandwidth is over 3 times the 1.34 TB/s of the consumer card. The B300's FP16 output of 1,231.8 TFLOPS is roughly 18.4 times the RTX 5090 SE's 66.94 TFLOPS, which makes the server card overwhelmingly faster for workloads that use tensor cores intensively.

The GeForce RTX 5090 SE is the pick for desktop workloads that involve real-time 3D rendering, ray tracing, and high-refresh-rate gaming. Its 2,377 MHz boost clock exceeds the B300's 2,032 MHz boost clock, and its pixel rate of 380.3 GPixel/s is 7.8 times the B300's 48.77 GPixel/s. The RTX 5090 SE also has 160 ROPs versus the B300's 24, which directly impacts fill-rate-bound scenarios. The 500 W TDP and 900 W suggested PSU make it practical for a standard desktop, whereas the B300's 1400 W TDP and 1800 W suggested PSU require a server chassis.

Head-to-Head Benchmarks

Direct benchmark scores are not present in the database for these two cards, so the comparison relies on the recorded specification data that drives performance in real applications.

Memory bandwidth is the most significant gap. The B300 delivers 4.10 TB/s over a 4096-bit bus, while the RTX 5090 SE manages 1.34 TB/s over a 384-bit bus. That is a 3.06x advantage for the server card. For AI workloads that stream large weight matrices, this difference translates directly into faster training and inference times.

FP16 compute shows an even larger chasm. The B300 reaches 1,231.8 TFLOPS using a 16:1 ratio, while the RTX 5090 SE produces 66.94 TFLOPS at a 1:1 ratio. The B300's FP16 output is 18.4x higher, which makes it the clear winner for transformer models, recommendation systems, and any tensor-heavy application. The RTX 5090 SE's FP32 performance of 66.94 TFLOPS is actually close to the B300's FP32 figure of 76.99 TFLOPS, a 1.15x difference in the B300's favor. This suggests that for traditional single-precision compute, the cards are more comparable, but the B300's tensor core count of 592 versus 440 gives it an edge in mixed-precision work.

Pixel throughput flips the tables. The RTX 5090 SE achieves 380.3 GPixel/s, which is 7.8x the B300's 48.77 GPixel/s. The consumer card's 160 ROPs and 2,377 MHz boost clock drive this advantage. The B300's 24 ROPs and lower boost clock of 2,032 MHz are clearly not optimized for display output, which aligns with its lack of display connectors.

Texture rate is closer. The B300 posts 1,202.9 GTexel/s, while the RTX 5090 SE delivers 1,045.9 GTexel/s. The B300 leads by 1.15x, thanks to its 592 TMUs versus the RTX 5090 SE's 440 TMUs, despite the consumer card's higher clocks.

FAQ

Q: Which card has more memory, and how does that affect real workloads?

A: The NVIDIA B300 has 144 GB of HBM3e memory, which is 6 times the GeForce RTX 5090 SE's 24 GB of GDDR7. The larger capacity allows the B300 to hold entire large language models or massive simulation datasets in memory without swapping, while the RTX 5090 SE would need to partition or stream those data sets.

Q: Is the RTX 5090 SE faster for gaming?

A: The data indicates yes. The RTX 5090 SE has 110 RT cores, 160 ROPs, and a pixel rate of 380.3 GPixel/s, while the B300 has no listed RT cores, only 24 ROPs, and a pixel rate of 48.77 GPixel/s. The RTX 5090 SE also supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, whereas the B300 lists no display outputs or graphics APIs.

Q: What is the FP16 compute difference between these two cards?

A: The B300 delivers 1,231.8 TFLOPS of FP16 performance using a 16:1 ratio, while the RTX 5090 SE delivers 66.94 TFLOPS at a 1:1 ratio. The B300 is 18.4x faster in FP16, which is the dominant precision for AI training and inference.

Q: Can the RTX 5090 SE be used in a server environment?

A: Technically it could, but its 24 GB memory and 1.34 TB/s bandwidth are far below the B300's 144 GB and 4.10 TB/s. The RTX 5090 SE also lacks the tensor core density (440 versus 592) and the FP16 throughput needed for large-scale AI workloads. Its 500 W TDP and dual-slot design are more suited to a desktop workstation.

Q: Which card has a higher boost clock?

A: The GeForce RTX 5090 SE has a boost clock of 2,377 MHz, which is 345 MHz higher than the B300's 2,032 MHz boost clock. This contributes to the RTX 5090 SE's higher pixel rate and rasterization performance.

Q: Are both cards built on the same process node?

A: Yes, both use a 5 nm process node from TSMC. However, the B300 uses the GB110 chip with 104,000 million transistors, while the RTX 5090 SE uses the GB202 chip with 92,200 million transistors on a 750 mm² die.

Architecture Differences

The NVIDIA B300 is built on the Blackwell Ultra architecture with the GB110 chip, while the GeForce RTX 5090 SE uses Blackwell 2.0 with the GB202 chip. Both are fabricated on TSMC's 5 nm node, but the transistor counts differ: the B300 packs 104,000 million transistors, while the RTX 5090 SE contains 92,200 million. The B300's die size is not listed, but the RTX 5090 SE has a 750 mm² die with a transistor density of 122.9M per mm².

The B300 is a server accelerator in the Server Blackwell generation, with a predecessor in Server Hopper and a successor in Server Rubin. The RTX 5090 SE belongs to the GeForce 50-series, follows the GeForce 40, and leads to the GeForce 60. This lineage difference is reflected in their feature sets: the B300 has no display outputs, no RT cores listed, and no graphics API support, while the RTX 5090 SE includes 110 RT cores, 1x HDMI 2.1b, 3x DisplayPort 2.1b, and full DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 support.

The B300 uses HBM3e memory, which is stacked and high-bandwidth, whereas the RTX 5090 SE uses GDDR7, which is a traditional discrete memory type. This memory choice explains the massive bandwidth difference (4.10 TB/s versus 1.34 TB/s) and the bus width difference (4096 bit versus 384 bit). The B300 also lists a 16:1 FP16 ratio, meaning its tensor cores are heavily biased toward mixed-precision matrix math, while the RTX 5090 SE uses a 1:1 FP16 ratio for balanced compute.

Specification Differences

The two cards differ across nearly every major specification category.

Memory: The B300 has 144 GB of HBM3e on a 4096-bit bus with 4.10 TB/s bandwidth. The RTX 5090 SE has 24 GB of GDDR7 on a 384-bit bus with 1.34 TB/s bandwidth.

Compute Units: The B300 has 18,944 shading units, 592 TMUs, 592 tensor cores, and 24 ROPs. The RTX 5090 SE has 14,080 shading units, 440 TMUs, 440 tensor cores, 110 RT cores, and 160 ROPs.

Performance Rates: The B300 delivers 76.99 TFLOPS FP32 and 1,231.8 TFLOPS FP16 (16:1). The RTX 5090 SE delivers 66.94 TFLOPS FP32 and 66.94 TFLOPS FP16 (1:1). Pixel rate is 48.77 GPixel/s for the B300 versus 380.3 GPixel/s for the RTX 5090 SE. Texture rate is 1,202.9 GTexel/s for the B300 versus 1,045.9 GTexel/s for the RTX 5090 SE.

Clocks: The B300 has a base clock of 1,665 MHz and a boost clock of 2,032 MHz, with memory at 8 Gbps effective. The RTX 5090 SE has a base clock of 1,740 MHz and a boost clock of 2,377 MHz, with memory at 28 Gbps effective.

Power and Physical: The B300 has a 1400 W TDP and requires a 1800 W suggested PSU, and it comes as an SXM Module. The RTX 5090 SE has a 500 W TDP, requires a 900 W suggested PSU, is dual-slot, and uses a single 16-pin power connector. The RTX 5090 SE measures 267 mm in length, 111 mm in height, and 40 mm in width.

Release and Status: The B300 released on 2025-09-10, while the RTX 5090 SE released on 2025-12-31. Both are active in production. The RTX 5090 SE has a launch MSRP of 1,499 USD; the B300 has no listed launch MSRP.