Intel Data Center GPU Max Subsystem vs NVIDIA B200 SXM6 Comparison
Intel Data Center GPU Max Subsystem
B200 SXM6
Analysis: Intel Data Center GPU Max Subsystem vs NVIDIA B200 SXM6
Head-to-Head Benchmarks
The recorded database contains no direct head-to-head benchmark entries for the Intel Data Center GPU Max Subsystem against the NVIDIA B200 SXM6. Both products have an average benchmark score of 0 and a percentile rank of 50 against all GPUs, which places them at the median of the database's distribution. This means the quantitative comparison must rely entirely on the architectural and specification data captured in the database rather than synthetic or real-world test scores.
The Intel Data Center GPU Max Subsystem delivers 52.43 TFLOPS of FP32 compute and 52.43 TFLOPS of FP16 compute, with a 1:1 ratio between the two precision formats. The NVIDIA B200 SXM6 delivers 69.34 TFLOPS of FP32 and 69.34 TFLOPS of FP16, also at a 1:1 ratio. The NVIDIA part leads by 16.91 TFLOPS in both precisions, a 32.2% advantage over the Intel product. This is the largest single compute gap between the two accelerators.
Memory bandwidth tells a different story. The Intel subsystem uses 128 GB of HBM2e across an 8192-bit bus, achieving 3.21 TB/s. The NVIDIA B200 SXM6 uses 180 GB of HBM3e across the same 8192-bit bus width, reaching 8.19 TB/s. The NVIDIA memory bandwidth is 4.98 TB/s higher, or 155.1% greater than Intel's figure. The NVIDIA part also holds a capacity lead of 52 GB, a 40.6% advantage in total onboard memory.
Texture throughput favors Intel. The Intel part achieves 1,638.4 GTexel/s from its 1024 texture mapping units, while the NVIDIA B200 SXM6 reaches 1,083.4 GTexel/s from 592 TMUs. The Intel result is 555.0 GTexel/s higher, a 51.2% advantage. Pixel throughput reverses this relationship: the Intel part has a pixel rate of 0 MPixel/s with 0 ROPs, while the NVIDIA part posts 43.92 GPixel/s from 24 ROPs. The NVIDIA B200 SXM6 is the only one of the two with any measurable rasterization output capability.
Clock behavior differs substantially. The Intel base clock is 900 MHz with a boost of 1600 MHz, while the NVIDIA base clock is 120 MHz with a boost of 1830 MHz. The NVIDIA boost clock exceeds Intel's by 230 MHz, but the Intel base clock is 780 MHz higher. Memory clocks also diverge: Intel runs at 1565 MHz with 3.1 Gbps effective, NVIDIA runs at 2000 MHz with 8 Gbps effective.
Transistor counts and manufacturing processes show a generational split. The Intel Ponte Vecchio chip integrates 100,000 million transistors on a 1280 mm² die using Intel's 10 nm process, giving a density of 78.1M transistors per mm². The NVIDIA GB100 integrates 208,000 million transistors on a 1628 mm² die using TSMC's 5 nm process, yielding a density of 127.8M per mm². The NVIDIA chip has 108,000 million more transistors, a 108% increase, on a die that is 348 mm² larger, a 27.2% area increase. The density gap is 49.7M per mm² in NVIDIA's favor.
Shading unit counts are close but not equal. Intel has 16384 shading units, NVIDIA has 18944, a 2560-unit difference. Ray tracing cores are present only on the Intel part, with 128 RT cores listed. The NVIDIA B200 SXM6 has no recorded RT core count but instead lists 592 tensor cores, a resource absent from the Intel specification. The NVIDIA part also includes 592 tensor cores, which matches its TMU count exactly.
Power envelopes are dramatically different. The Intel Data Center GPU Max Subsystem has a TDP of 2400 W with a suggested PSU of 2800 W. The NVIDIA B200 SXM6 has a TDP of 1000 W with a suggested PSU of 1400 W. The NVIDIA part draws 1400 W less, a 58.3% reduction in thermal design power, and requires a PSU that is 1400 W smaller.
Where Each One Wins
Compute-heavy FP32 and FP16 workloads favor the NVIDIA B200 SXM6. The 69.34 TFLOPS figures exceed Intel's 52.43 TFLOPS in both precisions. For dense matrix operations, mixed-precision training, or any workload that scales with raw floating-point throughput, the NVIDIA product holds the advantage.
Memory-bound applications favor the NVIDIA B200 SXM6. The 8.19 TB/s bandwidth is more than double Intel's 3.21 TB/s, and the 180 GB capacity exceeds Intel's 128 GB. Large language model inference, massive sparse matrix operations, or any workload that streams data across the memory bus will see a measurable advantage from the NVIDIA memory subsystem.
Texture-heavy workloads favor the Intel Data Center GPU Max Subsystem. The 1,638.4 GTexel/s output exceeds NVIDIA's 1,083.4 GTexel/s by 51.2%. Applications that rely heavily on bilinear or trilinear filtering, volume texture sampling, or similar texture unit utilization will perform better on the Intel part.
Rasterization and pixel output favor the NVIDIA B200 SXM6. The 43.92 GPixel/s rate is the only non-zero pixel throughput in this comparison. Intel's 0 MPixel/s and 0 ROPs mean it cannot perform conventional pixel fill operations. Any workload requiring pixel shading, framebuffer writes, or display output will necessarily use the NVIDIA part.
Ray tracing capability exists only on the Intel product, with 128 RT cores. The NVIDIA B200 SXM6 has no recorded RT core count. For workloads that explicitly rely on hardware-accelerated ray traversal, the Intel part is the only option in this pairing.
Tensor processing capability exists only on the NVIDIA product, with 592 tensor cores. The Intel part has no tensor core count listed. For workloads that use tensor core instructions, the NVIDIA part is the only choice.
The Verdict
The database shows two accelerators with identical percentile ranks (50) and identical average benchmark scores (0), but the specification sheets point in opposite directions for different workload classes.
For FP32 or FP16 compute density, the NVIDIA B200 SXM6 is the clear choice. Its 69.34 TFLOPS in both precisions beats Intel's 52.43 TFLOPS by 32.2%. For memory bandwidth and capacity, the NVIDIA part also leads: 8.19 TB/s versus 3.21 TB/s, and 180 GB versus 128 GB. The NVIDIA product further distinguishes itself with 592 tensor cores and 24 ROPs, both absent from the Intel specification.
The Intel Data Center GPU Max Subsystem wins in texture throughput, 1,638.4 GTexel/s against 1,083.4 GTexel/s, and it is the only part with ray tracing cores. Its 128 RT cores give it a feature Intel's rival lacks entirely. The Intel part also has a much higher base clock (900 MHz versus 120 MHz), though the NVIDIA boost clock is higher (1830 MHz versus 1600 MHz).
Power consumption is the most decisive differentiator. The NVIDIA B200 SXM6 operates at 1000 W TDP, the Intel subsystem at 2400 W. The NVIDIA part delivers higher compute, higher memory bandwidth, higher memory capacity, and tensor cores while consuming 58.3% less power. The Intel part delivers higher texture throughput and ray tracing but requires 1400 W more.
Based on the recorded data, the NVIDIA B200 SXM6 is the stronger general-purpose compute accelerator. The Intel Data Center GPU Max Subsystem is the only option for ray tracing workloads and holds a texture throughput edge, but for the majority of compute, memory, and tensor workloads, the NVIDIA product's numbers are superior.
FAQ
Q: Which GPU has higher FP32 compute performance?
A: The NVIDIA B200 SXM6 delivers 69.34 TFLOPS FP32, which is 16.91 TFLOPS higher than the Intel Data Center GPU Max Subsystem's 52.43 TFLOPS.
Q: What is the memory bandwidth difference between the two?
A: The NVIDIA B200 SXM6 has 8.19 TB/s bandwidth from 180 GB of HBM3e, while the Intel Data Center GPU Max Subsystem has 3.21 TB/s from 128 GB of HBM2e. The NVIDIA part leads by 4.98 TB/s.
Q: Which product has ray tracing hardware?
A: Only the Intel Data Center GPU Max Subsystem lists ray tracing cores, with 128 RT cores. The NVIDIA B200 SXM6 has no RT core count recorded in the database.
Q: How do their power requirements compare?
A: The Intel Data Center GPU Max Subsystem has a 2400 W TDP and a suggested PSU of 2800 W. The NVIDIA B200 SXM6 has a 1000 W TDP and a suggested PSU of 1400 W.
Q: Which GPU has tensor cores?
A: The NVIDIA B200 SXM6 has 592 tensor cores. The Intel Data Center GPU Max Subsystem does not list any tensor cores in its specification.
Q: What are the transistor counts for each chip?
A: The Intel Ponte Vecchio chip has 100,000 million transistors on a 1280 mm² die. The NVIDIA GB100 chip has 208,000 million transistors on a 1628 mm² die.
Architecture Differences
The Intel Data Center GPU Max Subsystem uses the Ponte Vecchio chip built on Intel's Generation 12.5 architecture, manufactured on a 10 nm process at Intel's own foundry. The NVIDIA B200 SXM6 uses the GB100 chip built on the Blackwell architecture, manufactured on a 5 nm process at TSMC.
The Intel chip integrates 100,000 million transistors across a 1280 mm² die, yielding a transistor density of 78.1M per mm². The NVIDIA chip integrates 208,000 million transistors across a 1628 mm² die, yielding a density of 127.8M per mm². The NVIDIA chip has 108,000 million more transistors and a die that is 348 mm² larger.
Memory subsystems differ by generation. Intel uses HBM2e memory with a 1565 MHz clock and 3.1 Gbps effective speed, totaling 128 GB across an 8192-bit bus. NVIDIA uses HBM3e memory with a 2000 MHz clock and 8 Gbps effective speed, totaling 180 GB across the same 8192-bit bus width.
Compute resources are organized differently. The Intel part has 16384 shading units, 1024 TMUs, 0 ROPs, 128 RT cores, and no tensor cores. The NVIDIA part has 18944 shading units, 592 TMUs, 24 ROPs, no RT cores, and 592 tensor cores. The Intel part's texture rate is 1,638.4 GTexel/s; the NVIDIA part's is 1,083.4 GTexel/s. The NVIDIA pixel rate is 43.92 GPixel/s; the Intel pixel rate is 0 MPixel/s.
Clocks differ in range and profile. The Intel base clock is 900 MHz and boost is 1600 MHz. The NVIDIA base clock is 120 MHz and boost is 1830 MHz. The Intel memory clock is 1565 MHz with 3.1 Gbps effective, while the NVIDIA memory clock is 2000 MHz with 8 Gbps effective.
Interface and power architecture also diverge. The Intel part uses a PCIe 5.0 x16 interface, while the NVIDIA part uses PCIe 6.0 x16. The Intel subsystem is dual-slot with a 1x 16-pin power connector; the NVIDIA B200 SXM6 is an SXM module with no separate power connector listed. Intel lists a suggested PSU of 2800 W, NVIDIA lists 1400 W. The Intel TDP is 2400 W, the NVIDIA TDP is 1000 W.
API support differs. The Intel part supports DirectX 12 (12_1) and OpenGL 4.6, with no Vulkan version listed. The NVIDIA part lists N/A for DirectX, OpenGL, and Vulkan. Neither product has display outputs. The Intel part has a length of 267 mm (10.5 inches); the NVIDIA part has no recorded dimensions.
Release timing is staggered. The Intel Data Center GPU Max Subsystem was released on 2023-01-09 and lists its successor as H3C Graphics. The NVIDIA B200 SXM6 was released on 2024-10-31, lists its predecessor as Server Hopper, and its successor as Server Rubin. The NVIDIA product has a recorded launch MSRP of 34,999 USD; the Intel product has no launch MSRP in the database. Both are listed as Active in production status. The NVIDIA part has a smaller power footprint, newer memory technology, higher transistor count, and denser process node, while the Intel part retains a texture throughput lead and a ray tracing feature set.