Intel Data Center GPU Max 1350 vs NVIDIA Rubin GPU Comparison

Where Each One Wins

The recorded data for both accelerators is split across very different intended workloads. The Intel Data Center GPU Max 1350, built on the Ponte Vecchio chip, is positioned for dense compute with a massive 96 GB HBM2e memory pool and a 8192-bit bus. Its shading unit count of 14,336 and texture units of 896 give it a strong foundation for parallel FP32 and FP16 workloads. The NVIDIA Rubin GPU, with the GR100 chip, is a newer server-class part aimed at extreme scale, carrying 28,672 shading units, 896 tensor cores, and 288 GB of HBM4 memory. The data shows no direct benchmark wins for either part in the head-to-head table, as both entries list zero wins and zero average benchmark scores. However, the underlying specifications indicate a clear functional split: the Intel part excels in high-memory-capacity inference and rendering pipelines that require wide memory buses, while the NVIDIA part dominates in raw throughput and tensor-heavy operations.

The Intel accelerator shows a 1:1 FP16 to FP32 ratio, meaning it does not sacrifice precision for speed, which suits scientific simulation and workloads where numerical fidelity is critical. The NVIDIA Rubin, by contrast, uses a 2:1 FP16 ratio, doubling its FP16 output to 260.0 TFLOPS versus 130.0 TFLOPS FP32. This indicates a design preference for mixed-precision AI training and inference. The Intel part has no display outputs, and the NVIDIA part also has no display outputs, so neither is intended for graphics output. The Intel part supports DirectX 12 (12_1) and OpenGL 4.6, while the NVIDIA part reports N/A for all graphics APIs, confirming that the Rubin GPU is a pure compute accelerator with no legacy graphics path.

The power envelope further separates the two. The Intel part runs at 450 W TDP with a suggested 850 W power supply, while the NVIDIA part draws 2300 W TDP and requires a 2700 W suggested supply. This means the NVIDIA Rubin is designed for rack-scale deployments with dedicated power infrastructure, whereas the Intel part can fit into more conventional server chassis. The bus interfaces differ as well: the Intel part uses PCIe 5.0 x16, and the NVIDIA part uses PCIe 6.0 x16, indicating the latter is built for next-generation interconnect bandwidth. In terms of memory bandwidth, the NVIDIA part shows 22.1 TB/s, a dramatic step above the Intel part's 2.46 TB/s, which points to the Rubin being engineered for memory-bound workloads such as large language model training. The Intel part's 2.4 Gbps effective memory speed is modest compared to the NVIDIA's 10.8 Gbps effective, but the Intel part compensates with a wider 8192-bit bus versus 16384-bit bus on the NVIDIA.

FAQ

Q: Which accelerator has more memory?

A: The NVIDIA Rubin GPU has 288 GB of HBM4 memory, while the Intel Data Center GPU Max 1350 has 96 GB of HBM2e memory. The NVIDIA part also has a larger bus width at 16384 bit versus 8192 bit.

Q: What is the difference in FP32 performance?

A: The NVIDIA Rubin GPU delivers 130.0 TFLOPS FP32, while the Intel Data Center GPU Max 1350 delivers 44.44 TFLOPS FP32. This places the NVIDIA part at approximately 2.93 times the FP32 throughput of the Intel part.

Q: How do the power requirements compare?

A: The Intel part has a 450 W TDP with an 850 W suggested power supply. The NVIDIA part has a 2300 W TDP with a 2700 W suggested power supply, making it over five times more power-hungry.

Q: Which part supports graphics APIs?

A: The Intel Data Center GPU Max 1350 supports DirectX 12 (12_1) and OpenGL 4.6. The NVIDIA Rubin GPU reports N/A for DirectX, OpenGL, and Vulkan, indicating no graphics API support.

Q: What is the process node difference?

A: The Intel part uses a 10 nm process from Intel's own foundry. The NVIDIA part uses a 3 nm process from TSMC. The NVIDIA part also has a higher transistor density: 230.8M per mm² versus 78.1M per mm².

Q: When were these parts released?

A: The Intel Data Center GPU Max 1350 was released on 2023-01-09. The NVIDIA Rubin GPU was released on 2025-12-31.

Head-to-Head Benchmarks

The head-to-head benchmark table is empty, with zero wins recorded for each side. This absence of direct benchmark data means the comparison must rely on the specification-driven performance metrics. The most significant numerical gap appears in memory bandwidth: the NVIDIA Rubin shows 22.1 TB/s, which is 8.98 times higher than the Intel part's 2.46 TB/s. This ratio is the largest single advantage in the data. The texture rate also favors the NVIDIA part: 2,031.2 GTexel/s versus 1,388.8 GTexel/s, a 46.3% lead. The pixel rate shows a stark contrast, as the Intel part reports 0 MPixel/s while the NVIDIA part reports 54.41 GPixel/s, indicating the Intel part cannot rasterize pixels.

In shading throughput, the NVIDIA Rubin's 28,672 shading units are exactly double the Intel part's 14,336. The FP16 numbers further widen the gap: 260.0 TFLOPS versus 44.44 TFLOPS, a 5.85 times difference. The FP32 difference is 130.0 TFLOPS versus 44.44 TFLOPS, a 2.93 times difference. The transistor count is another major divergence: 336,000 million on the NVIDIA part versus 100,000 million on the Intel part, a 3.36 times difference. The die size is similar at 1456 mm² versus 1280 mm², but the NVIDIA part packs far more transistors into that area due to the 3 nm process.

Clock speeds show the NVIDIA part boosts to 2267 MHz versus 1550 MHz on the Intel part, a 46.3% higher boost clock. The base clocks are closer: 700 MHz versus 750 MHz, with the Intel part actually higher by 7.1%. The memory clock on the NVIDIA part is 2695 MHz versus 1200 MHz on the Intel part, a 2.25 times difference. These clock and memory advantages combine to explain why the NVIDIA part achieves such high bandwidth and compute rates. The Intel part does have a slight edge in base clock and a much lower TDP, but in every raw performance metric except base clock, the NVIDIA part leads by a substantial margin.

Specification Differences

The two accelerators differ across nearly every measurable specification. The Intel part uses HBM2e memory with a 8192-bit bus and 2.46 TB/s bandwidth. The NVIDIA part uses HBM4 memory with a 16384-bit bus and 22.1 TB/s bandwidth. Memory size differs from 96 GB to 288 GB. The shading units differ from 14,336 to 28,672. The TMUs are identical at 896, but the ROPs differ: the Intel part has 0 ROPs, and the NVIDIA part has 24 ROPs. The Intel part has 112 ray tracing cores, while the NVIDIA part lists no ray tracing cores in the data. The NVIDIA part has 896 tensor cores, while the Intel part lists no tensor cores.

The FP32 output is 44.44 TFLOPS versus 130.0 TFLOPS. The FP16 output is 44.44 TFLOPS (1:1) versus 260.0 TFLOPS (2:1). The pixel rate is 0 MPixel/s versus 54.41 GPixel/s. The texture rate is 1,388.8 GTexel/s versus 2,031.2 GTexel/s. The TDP is 450 W versus 2300 W. The suggested power supply is 850 W versus 2700 W. The slot width is OAM Module versus SXM Module. The bus interface is PCIe 5.0 x16 versus PCIe 6.0 x16. The process node is 10 nm versus 3 nm. The foundry is Intel versus TSMC. The transistor count is 100,000 million versus 336,000 million, and the die size is 1280 mm² versus 1456 mm².

The API support differs completely: the Intel part supports DirectX 12 (12_1) and OpenGL 4.6, while the NVIDIA part reports N/A for all three graphics APIs. The release dates differ from 2023-01-09 to 2025-12-31. The Intel part has a successor named H3C Graphics, while the NVIDIA part has a predecessor named Server Blackwell and no successor listed. Both parts have no display outputs and no launch MSRP recorded in the database.

Architecture Differences

The Intel Data Center GPU Max 1350 uses the Ponte Vecchio chip built on Intel's Generation 12.5 architecture, fabricated on a 10 nm process at Intel's own foundry. The NVIDIA Rubin GPU uses the GR100 chip built on the Rubin architecture, fabricated on a 3 nm process at TSMC. The transistor density difference is stark: 78.1M per mm² on the Intel part versus 230.8M per mm² on the NVIDIA part. This density difference, combined with the larger die size of 1456 mm² versus 1280 mm², allows the NVIDIA part to pack 336,000 million transistors versus 100,000 million on the Intel part.

The memory architecture also diverges fundamentally. The Intel part uses HBM2e with a 2.4 Gbps effective data rate, while the NVIDIA part uses HBM4 with a 10.8 Gbps effective data rate. The bus width doubles from 8192 bit to 16384 bit, and the bandwidth scales from 2.46 TB/s to 22.1 TB/s. The FP16 ratio differs: the Intel part uses a 1:1 ratio (same rate as FP32), while the NVIDIA part uses a 2:1 ratio (double the FP32 rate). This indicates different design philosophies around precision handling. The Intel part includes ray tracing cores (112) but no tensor cores, while the NVIDIA part includes tensor cores (896) but no listed ray tracing cores.

The API support reflects the generational shift. The Intel part retains DirectX and OpenGL support, suggesting it can handle legacy graphics-adjacent workloads. The NVIDIA part has no graphics API support at all, confirming it is a pure compute accelerator. The power architecture also differs: the Intel part uses an OAM Module slot with a 450 W TDP, while the NVIDIA part uses an SXM Module slot with a 2300 W TDP. The bus interface advances from PCIe 5.0 to PCIe 6.0, and the memory type advances from HBM2e to HBM4. These architectural choices indicate that the Intel part was designed for mid-range data center compute with some graphics compatibility, while the NVIDIA part is aimed at the highest tier of AI and scientific computing with no graphics legacy.

The Verdict

The data indicates that the NVIDIA Rubin GPU is the superior performer in nearly every raw metric. It leads in FP32 by 2.93 times, FP16 by 5.85 times, memory bandwidth by 8.98 times, texture rate by 46.3%, and pixel rate from zero to 54.41 GPixel/s. It has double the shading units, triple the transistor count, and a 3 nm process advantage. The only metric where the Intel part leads is base clock, at 750 MHz versus 700 MHz, and it has a much lower TDP at 450 W versus 2300 W. For any workload requiring maximum compute throughput, memory bandwidth, or tensor operations, the NVIDIA Rubin is the clear choice based on the recorded specifications.

The Intel Data Center GPU Max 1350 does offer a distinct advantage in power efficiency and form factor. Its 450 W TDP versus 2300 W means it can be deployed in systems with standard power delivery, and its OAM Module slot is less demanding than the SXM Module. It also retains DirectX and OpenGL support, which the NVIDIA part lacks entirely. For workloads that need graphics API compatibility or operate within a constrained power budget, the Intel part is the only viable option in this comparison. Its 96 GB memory is still substantial, and its 2.46 TB/s bandwidth is respectable for many inference tasks.

The percentile data shows both parts at the 50th percentile versus all GPUs, with zero average benchmark scores, so there is no empirical performance ranking available. The release dates differ by nearly three years, with the Intel part launching in 2023 and the NVIDIA part in late 2025, which explains the generational gap in memory and process technology. The NVIDIA part also has a predecessor (Server Blackwell) but no successor, while the Intel part has a successor (H3C Graphics), suggesting the Intel part is at the end of its lifecycle. Based on the data, the NVIDIA Rubin GPU is designed for frontier-scale AI and HPC workloads where power and size are secondary, while the Intel part serves more modest deployments that require graphics API support or lower power draw.