NVIDIA B100

NVIDIA B100 is a server-focused Blackwell architecture GPU built on TSMC’s 5 nm process, packing 104,000 million transistors into a GB102 chip, and the data shows it is positioned as a compute-oriented accelerator rather than a consumer graphics card, with a 50th percentile ranking among all GPUs and no benchmark scores or nearest rivals on record, making its performance profile defined almost entirely by its raw specification sheet.

Benchmark Performance

The FACT PACK lists no benchmark scores, no average benchmark score, and no nearest rivals for the NVIDIA B100. The `avgBenchmarkScore` field is 0, and `nearestRivals` is an empty array. The `percentileVsAllGpus` stands at 50, which places it exactly at the midpoint of all GPUs in the database — but without any measured scores, this percentile likely reflects its specification-based tier rather than direct testing. The FP32 compute is 32.95 TFLOPS, while FP16 reaches 131.8 TFLOPS using a 4:1 ratio. Texture rate is 514.8 GTexel/s, and pixel rate is 23.40 GPixel/s. These figures indicate a design where FP32 throughput is substantial but FP16 is the dominant mode, suggesting the B100 is optimized for mixed-precision workloads. The 24 ROPs are notably low relative to the 16,896 shading units and 528 TMUs, which implies the chip prioritizes compute throughput over rasterization efficiency. In the absence of rival comparisons, the data cannot show deltas, but the raw numbers alone suggest a card that would likely lead in FP16-heavy tasks while lagging in traditional pixel-pushing scenarios.

Ray Tracing and Feature Set

The FACT PACK contains no `rtCores` field value — it is listed as `null`. Similarly, there are no DirectX, OpenGL, or Vulkan API version numbers provided. The tensor core count is 528, which is identical to the TMU count, indicating a heavy investment in matrix math acceleration. The architecture is Blackwell, and the generation is listed as "Server Blackwell (Bxx)," confirming this is not a consumer gaming product. Display outputs are explicitly "No outputs," meaning the B100 is not designed to drive a monitor. The bus interface is PCIe 5.0 x16, which provides modern host connectivity, but the absence of any display or API data means ray tracing capabilities cannot be assessed from this pack. The tensor cores are the only specialized acceleration units confirmed, and with 528 of them, the data implies a focus on AI inference and training rather than real-time graphics. Without RT core counts or API support, any statement about ray tracing performance would be speculation, so the dataset restricts analysis to tensor core presence and the compute-oriented feature set.

Power and Cooling

The thermal design power is 1000 W, which is a high figure that demands serious cooling infrastructure. The suggested PSU is 1400 W, indicating that a power supply rated for that output is recommended for systems hosting this module. The slot width is listed as "SXM Module," which means the B100 is designed for server chassis with SXM sockets rather than standard PCIe slots. No power connector details are provided — the field is `null` — so the exact pin configuration is unknown, but the SXM form factor typically implies a board-level power delivery system. The 1000 W TDP combined with the 1400 W PSU recommendation suggests that the B100 draws close to its TDP under load, and system designers must account for that draw alongside other components. The absence of a length, height, or width measurement reinforces that this is a module, not a plug-in card. Cooling solutions are not specified, but a 1000 W TDP in a server context generally requires active cooling, often with high-static-pressure fans or liquid cooling loops, though no such specifics appear in the FACT PACK.

Who Should Consider It

Given the lack of benchmark scores, the recommendation must be based on specification data. The 96 GB HBM3e memory with a 4096-bit bus and 4.10 TB/s bandwidth makes the B100 suitable for workloads that require massive datasets resident on the GPU — training large language models, running scientific simulations, or processing high-resolution volumetric data. The FP16 throughput of 131.8 TFLOPS suggests that half-precision compute tasks, such as neural network training with mixed precision, would see strong performance. The FP32 figure of 32.95 TFLOPS is also robust for single-precision scientific computing. The 1000 W TDP and SXM form factor mean this is not for desktop users; it targets data center racks with adequate power and cooling. The absence of display outputs confirms it is not for gaming or workstation visualization. Users who need to render frames to a screen should look elsewhere. The data implies that the B100 suits researchers and cloud providers who can leverage its memory capacity and tensor cores for AI workloads, not consumers seeking high-resolution gaming performance.

How It Compares

No nearest rivals are listed in the FACT PACK, so a direct comparison against specific competing products cannot be made. The `nearestRivals` array is empty, and no rival names, scores, or deltaPct values are provided. The predecessor is "Server Hopper" and the successor is "Server Rubin," which places the B100 in a generational timeline, but no performance data for those predecessors or successors exists in this pack. Without rival benchmarks, the B100’s 50th percentile ranking cannot be contextualized against other GPUs. The absence of comparisons is itself informative: it suggests the database has not yet accumulated enough testing data for this SKU, or that its server-oriented nature places it outside the typical consumer GPU comparison pool. The data cannot show whether the B100 outperforms or trails any specific rival, so any assertion of relative performance would be unsupported.

Memory Subsystem

The B100 is equipped with 96 GB of HBM3e memory, which is a high-capacity configuration aimed at large-scale compute. The bus width is 4096 bits, a wide interface that enables the memory to deliver 4.10 TB/s of bandwidth. This bandwidth figure is substantial, meaning the GPU can feed its 16,896 shading units and 528 tensor cores with data at very high rates. For high-resolution workloads, such as 4K or 8K rendering, the memory capacity would allow entire scenes or datasets to reside on the GPU without spilling to system RAM. However, the 24 ROPs are a limiting factor for rasterization: even with massive bandwidth, the pixel throughput of 23.40 GPixel/s caps how fast the GPU can write final pixels to a framebuffer. The memory clock is listed as 2000 MHz with 8 Gbps effective, which is a modest clock speed but compensated by the extremely wide bus. HBM3e is a high-bandwidth memory type designed for server AI accelerators, not consumer graphics, so this subsystem is optimized for sustained data movement in compute kernels rather than frame-buffer access patterns. The 4.10 TB/s bandwidth is likely the key differentiator for memory-bound tasks, as it allows rapid access to the 96 GB pool.

FAQ

Q: What is the FP32 compute performance of the NVIDIA B100?

A: The FACT PACK lists FP32 throughput as 32.95 TFLOPS.

Q: How much memory does the B100 have, and what type is it?

A: It has 96 GB of HBM3e memory with a 4096-bit bus width and 4.10 TB/s bandwidth.

Q: Does the B100 support any display outputs?

A: No, the FACT PACK lists "No outputs" for display outputs, meaning it is not designed for monitor connection.

Q: What is the recommended power supply for a system with the B100?

A: The suggested PSU is 1400 W, while the GPU’s TDP is 1000 W.

Q: What is the tensor core count on the B100?

A: The B100 has 528 tensor cores, according to the FACT PACK.

Q: What bus interface does the B100 use?

A: It uses PCIe 5.0 x16, though the slot width is listed as SXM Module, indicating a server form factor.