Intel Data Center GPU Max 1100 vs NVIDIA H20 Comparison
Intel Data Center GPU Max 1100
H20
Analysis: Intel Data Center GPU Max 1100 vs NVIDIA H20
Head-to-Head Benchmarks
The database contains no recorded head-to-head benchmark results for the Intel Data Center GPU Max 1100 and the NVIDIA H20. Both entries report an average benchmark score of zero, and the wins counter for each product is zero. This means direct performance comparisons must be derived from the recorded specification data rather than from measured workload results.
The FP32 compute figures offer the clearest initial contrast. The NVIDIA H20 delivers 39.54 TFLOPS of FP32 throughput, while the Intel Data Center GPU Max 1100 delivers 22.22 TFLOPS. That places the H20 approximately 78% ahead in single-precision compute, a substantial margin that indicates a strong advantage in general compute workloads that rely on FP32 math. The FP16 figures widen the gap further. The H20 delivers 79.07 TFLOPS with a 2:1 ratio, while the Intel part delivers 22.22 TFLOPS with a 1:1 ratio. The H20 is roughly 3.6 times faster in FP16 throughput, which matters for AI inference and training workloads that use reduced precision.
Memory bandwidth also favors the NVIDIA part decisively. The H20 provides 4.03 TB/s of bandwidth across a 6144-bit bus using HBM3, while the Intel Max 1100 provides 1.23 TB/s across an 8192-bit bus using HBM2e. The H20 is about 3.3 times higher in memory bandwidth, which directly affects performance for memory-bound operations such as large matrix multiplications, embedding lookups, and data preprocessing. The Intel part does have a wider bus, 8192 bits versus 6144 bits, but the HBM3 memory speed on the H20 overcomes that width advantage.
Pixel throughput shows a different pattern. The Intel Max 1100 records 0 MPixel/s, which suggests it has no effective raster output stage for pixel generation. The NVIDIA H20 records 47.52 GPixel/s. This means the H20 has at least some pixel processing capability, while the Intel part appears to lack it entirely. Texture rates are closer. The Intel part achieves 694.4 GTexel/s, while the H20 achieves 617.8 GTexel/s, putting the Intel product about 12% ahead in texture fill rate. That is a narrow win for the Intel product in one specific throughput metric.
FAQ
Q: Which GPU has higher FP32 compute throughput?
A: The NVIDIA H20 delivers 39.54 TFLOPS, which is roughly 78% higher than the Intel Data Center GPU Max 1100 at 22.22 TFLOPS.
Q: How do the memory capacities and bandwidths compare?
A: The NVIDIA H20 has 96 GB of HBM3 with 4.03 TB/s bandwidth. The Intel Max 1100 has 48 GB of HBM2e with 1.23 TB/s bandwidth. The H20 offers double the capacity and over three times the bandwidth.
Q: Does the Intel Max 1100 support pixel output?
A: The recorded pixel rate for the Intel Max 1100 is 0 MPixel/s, indicating no effective pixel generation. The NVIDIA H20 records 47.52 GPixel/s.
Q: Which GPU has more shading units?
A: The NVIDIA H20 has 9984 shading units. The Intel Max 1100 has 7168 shading units, giving the H20 about 39% more.
Q: What is the difference in memory bus width?
A: The Intel Max 1100 uses an 8192-bit bus, wider than the NVIDIA H20's 6144-bit bus. Despite the wider bus, the H20 achieves higher total bandwidth due to faster HBM3 memory.
Q: Which GPU has a higher texture fill rate?
A: The Intel Max 1100 reaches 694.4 GTexel/s, about 12% higher than the NVIDIA H20's 617.8 GTexel/s.
The Verdict
The data points to the NVIDIA H20 as the stronger compute accelerator for most data center workloads. It leads in FP32 throughput by 78%, in FP16 throughput by a factor of roughly 3.6, in memory capacity by 2x, in memory bandwidth by over 3x, and in pixel rate from 0 to 47.52 GPixel/s. The Intel Max 1100 holds a 12% lead in texture rate and has a wider memory bus, but those advantages do not compensate for the large deficits in compute and bandwidth.
The Intel Data Center GPU Max 1100 appears positioned for workloads that specifically benefit from high texture throughput and a very wide memory interface. The NVIDIA H20 appears positioned for memory-intensive compute, particularly AI and high-performance computing tasks where FP16 and FP32 throughput plus large memory capacity matter most.
Neither product has recorded benchmark scores or nearest rivals in the database, so these conclusions rest entirely on specification comparisons. The production status for both is active, and both lack display outputs, confirming their data center orientation.
Specification Differences
The two GPUs differ across nearly every major specification category.
| Specification | Intel Data Center GPU Max 1100 | NVIDIA H20 |
|---|---|---|
| Process node | 10 nm | 5 nm |
| Foundry | Intel | TSMC |
| Transistors | 100,000 million | 80,000 million |
| Die size | 1280 mm² | 814 mm² |
| Transistor density | 78.1M / mm² | 98.3M / mm² |
| Base clock | 1000 MHz | 1830 MHz |
| Boost clock | 1550 MHz | 1980 MHz |
| Memory size | 48 GB | 96 GB |
| Memory type | HBM2e | HBM3 |
| Memory bus | 8192 bit | 6144 bit |
| Memory bandwidth | 1.23 TB/s | 4.03 TB/s |
| Shading units | 7168 | 9984 |
| TMUs | 448 | 312 |
| ROPs | 0 | 24 |
| RT cores | 56 | null |
| Tensor cores | null | 312 |
| Pixel rate | 0 MPixel/s | 47.52 GPixel/s |
| Texture rate | 694.4 GTexel/s | 617.8 GTexel/s |
| FP32 | 22.22 TFLOPS | 39.54 TFLOPS |
| FP16 | 22.22 TFLOPS (1:1) | 79.07 TFLOPS (2:1) |
| TDP | 300 W | 500 W |
| Slot width | Dual-slot | SXM Module |
| Power connector | 1x 12-pin | null |
| Suggested PSU | 700 W | 900 W |
| DirectX support | 12 (12_1) | N/A |
| OpenGL support | 4.6 | N/A |
| Vulkan support | null | N/A |
| Release date | 2023-01-09 | 2024-01-31 |
| Predecessor | null | Server Ada |
| Successor | H3C Graphics | Server Blackwell |
The NVIDIA H20 uses a smaller, denser chip with higher clocks, more memory, and higher compute rates. The Intel Max 1100 uses a physically larger chip with more transistors, more TMUs, and a wider memory bus.
Architecture Differences
The Intel Data Center GPU Max 1100 is built on Ponte Vecchio, using Intel's Generation 12.5 architecture. The process node is 10 nm, fabricated at Intel's own foundry. The chip contains 100,000 million transistors on a 1280 mm² die, yielding a transistor density of 78.1M per mm². The memory subsystem uses HBM2e across an 8192-bit bus, and the GPU includes 56 ray tracing cores but no tensor cores. The FP16 rate matches the FP32 rate at a 1:1 ratio, indicating that reduced-precision compute is not accelerated beyond the base rate. The GPU has no ROPs and delivers 0 MPixel/s, and it supports DirectX 12 (12_1) and OpenGL 4.6.
The NVIDIA H20 is built on the GH100 chip, using the Hopper architecture. The process node is 5 nm, fabricated by TSMC. The chip contains 80,000 million transistors on an 814 mm² die, yielding a higher transistor density of 98.3M per mm². The memory subsystem uses HBM3 across a 6144-bit bus, and the GPU includes 312 tensor cores but no ray tracing cores. The FP16 rate is double the FP32 rate at a 2:1 ratio, showing dedicated hardware for reduced-precision compute. The H20 has 24 ROPs and delivers 47.52 GPixel/s. It reports no DirectX, OpenGL, or Vulkan support, which is typical for a compute-focused accelerator.
The release dates differ by roughly one year. The Intel Max 1100 launched on 2023-01-09, while the NVIDIA H20 launched on 2024-01-31. The Intel part is followed by H3C Graphics, while the NVIDIA part follows Server Ada and precedes Server Blackwell.
Where Each One Wins
The NVIDIA H20 wins in compute throughput. Its FP32 rate of 39.54 TFLOPS and FP16 rate of 79.07 TFLOPS make it the obvious choice for AI training, inference, and scientific simulation that rely on dense FP32 or FP16 linear algebra. The 96 GB memory capacity and 4.03 TB/s bandwidth support large model footprints and data-intensive workloads that need to keep massive datasets resident on the GPU. The 312 tensor cores provide dedicated hardware for matrix operations, which is absent on the Intel Max 1100.
The Intel Data Center GPU Max 1100 wins in texture throughput. Its 694.4 GTexel/s rate exceeds the H20 by about 12%, and its 448 TMUs outnumber the H20's 312. This suggests a relative advantage in workloads that perform heavy texture sampling, such as certain rendering or image processing tasks, though the 0 MPixel/s pixel rate limits its output capabilities. The 56 ray tracing cores add functionality that the H20 lacks entirely, so ray tracing workloads would favor the Intel part by feature availability rather than measured performance. The 8192-bit memory bus is wider than the H20's 6144-bit bus, which could help in access patterns that benefit from extreme parallel memory transactions, even if the total bandwidth is lower.
The power envelope differs substantially. The Intel Max 1100 draws 300 W with a suggested 700 W PSU, while the NVIDIA H20 draws 500 W with a suggested 900 W PSU. The lower power requirement of the Intel part may be preferable in power-constrained deployments, though the database does not record performance per watt for either product. The Intel part is a dual-slot card with a 1x 12-pin power connector, while the H20 is an SXM module with no recorded power connector, indicating different physical integration requirements.
For general data center compute, the NVIDIA H20 dominates on every major compute and memory metric. For specialized workloads that can exploit the Intel part's texture units, ray tracing cores, or wider memory bus, the Intel Max 1100 has specific but narrow advantages. The absence of benchmark data means these conclusions are based on specification analysis, not measured performance.