Intel Arc A310E vs NVIDIA Jetson Orin Nano Super Comparison

Where Each One Wins

The recorded data places both the Intel Arc A310E and the NVIDIA Jetson Orin Nano Super at the 50th percentile among all GPUs in the database, with no benchmark scores available for either. This means the two products land at the exact midpoint of the performance distribution, but the absence of individual test results means the database cannot assign a decisive win to either in any measured workload. What the data does show is a clear split by design intent. The Intel Arc A310E is a discrete, single-slot add-in card built around the Xe-HPG architecture, with a 75 W power envelope, a PCIe 4.0 x8 interface, and four mini-DisplayPort 2.0 outputs. It is a render-focused part. The NVIDIA Jetson Orin Nano Super is an integrated graphics processor (IGP) on the GA10B chip, rated at 25 W, using PCIe 4.0 x4, with display outputs described as portable device dependent. It targets embedded and edge deployments where the host system dictates the display path. In terms of raw compute throughput, the Intel part wins on FP32 with 3.072 TFLOPS versus 2.089 TFLOPS, and on FP16 with 6.144 TFLOPS versus 4.178 TFLOPS. The Intel card also leads in pixel fill rate at 32.00 GPixel/s compared to 16.32 GPixel/s, and in texture fill rate at 64.00 GTexel/s versus 32.64 GTexel/s. However, the NVIDIA module has twice the memory capacity at 8 GB versus 4 GB, and it carries 32 tensor cores, a feature the Intel part lacks entirely. The use case split is therefore straightforward: the Arc A310E wins on rendering throughput and display connectivity, while the Jetson Orin Nano Super wins on memory capacity, tensor acceleration, and power efficiency for embedded workloads.

Architecture Differences

The two products come from different foundries and process nodes. Intel uses TSMC at 6 nm for the DG2-128 chip, while NVIDIA uses Samsung at 8 nm for the GA10B die. The Intel die measures 157 mm² and packs 7,200 million transistors, giving a transistor density of 45.9M per mm². The NVIDIA die is larger at 200 mm², but its transistor count is listed as unknown in the database. The Intel part belongs to the Alchemist (Arc 3) generation of the Xe-HPG architecture, while the NVIDIA part is from the Tegra (Ampere) generation. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so API-level feature parity exists. The Intel GPU has 768 shading units, 32 texture mapping units, 16 raster output units, and 6 ray tracing cores. The NVIDIA GPU has 1024 shading units, 32 TMUs, 16 ROPs, and 32 tensor cores, but no ray tracing cores listed. The NVIDIA chip has a wider memory bus at 128 bit but lower bandwidth at 102.4 GB/s, while the Intel chip uses a 64 bit bus with higher bandwidth at 124.0 GB/s. Memory type also differs: GDDR6 on the Intel card versus LPDDR5 on the NVIDIA module. Clock behavior differs as well. The Intel GPU runs at a fixed 2000 MHz base and boost, with memory at 1937 MHz (15.5 Gbps effective). The NVIDIA GPU has no base or boost clock listed, only a memory clock of 800 MHz (6.4 Gbps effective). The Intel card is end-of-life with a predecessor of Xe Graphics and a successor of Battlemage, while the NVIDIA module is active with no predecessor or successor listed. The NVIDIA part also has a stated launch MSRP of 249 USD, which the database records once and no further.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The Intel Arc A310E delivers 3.072 TFLOPS FP32, which is 47% higher than the NVIDIA Jetson Orin Nano Super’s 2.089 TFLOPS.

Q: Does the NVIDIA Jetson Orin Nano Super support ray tracing?

A: The database lists no ray tracing cores for the NVIDIA part. The Intel Arc A310E has 6 ray tracing cores.

Q: How much memory does each GPU have and what type?

A: The Intel Arc A310E has 4 GB of GDDR6 on a 64 bit bus. The NVIDIA Jetson Orin Nano Super has 8 GB of LPDDR5 on a 128 bit bus.

Q: What is the power draw difference?

A: The Intel Arc A310E is rated at 75 W and requires no power connectors, with a suggested PSU of 250 W. The NVIDIA Jetson Orin Nano Super is rated at 25 W and lists no power connector or PSU recommendation.

Q: Which GPU has tensor cores?

A: Only the NVIDIA Jetson Orin Nano Super has tensor cores, with 32 of them. The Intel Arc A310E has none.

Q: What are the physical size differences?

A: The Intel Arc A310E is a single-slot card measuring 168 mm in length, 69 mm in height, and 20 mm in width. The NVIDIA Jetson Orin Nano Super is an IGP measuring 70 mm by 45 mm, with no width listed.

Specification Differences

The two GPUs differ across nearly every core specification. The Intel Arc A310E uses the DG2-128 chip on a 6 nm TSMC process, while the NVIDIA Jetson Orin Nano Super uses the GA10B chip on an 8 nm Samsung process. The Intel die is 157 mm² with 7,200 million transistors and a density of 45.9M per mm². The NVIDIA die is 200 mm² with an unknown transistor count and no density figure. The Intel GPU has 768 shading units, 32 TMUs, 16 ROPs, and 6 ray tracing cores. The NVIDIA GPU has 1024 shading units, 32 TMUs, 16 ROPs, 32 tensor cores, and no ray tracing cores. The Intel base and boost clocks are both 2000 MHz, with memory clocked at 1937 MHz (15.5 Gbps effective). The NVIDIA part has no base or boost clock listed, and its memory runs at 800 MHz (6.4 Gbps effective). Memory capacity is 4 GB GDDR6 for Intel versus 8 GB LPDDR5 for NVIDIA. Bus width is 64 bit for Intel and 128 bit for NVIDIA. Bandwidth favors Intel at 124.0 GB/s versus 102.4 GB/s. Pixel rate is 32.00 GPixel/s for Intel versus 16.32 GPixel/s for NVIDIA. Texture rate is 64.00 GTexel/s for Intel versus 32.64 GTexel/s for NVIDIA. FP32 is 3.072 TFLOPS for Intel versus 2.089 TFLOPS for NVIDIA. FP16 is 6.144 TFLOPS for Intel versus 4.178 TFLOPS for NVIDIA. Power consumption is 75 W for Intel versus 25 W for NVIDIA. The Intel card is single-slot with no power connectors and a suggested PSU of 250 W. The NVIDIA module is an IGP with no power connector or PSU figure. The Intel card uses PCIe 4.0 x8, while the NVIDIA module uses PCIe 4.0 x4. Display outputs are four mini-DisplayPort 2.0 connectors for Intel versus portable device dependent for NVIDIA. The Intel card measures 168 mm by 69 mm by 20 mm, while the NVIDIA module measures 70 mm by 45 mm. Production status is end-of-life for Intel and active for NVIDIA. Release dates are March 31, 2024 for Intel and December 16, 2024 for NVIDIA. The Intel part has a predecessor of Xe Graphics and a successor of Battlemage. The NVIDIA part has no predecessor or successor. The NVIDIA module has a launch MSRP of 249 USD.

Head-to-Head Benchmarks

No head-to-head benchmark entries exist in the database, and neither GPU has individual benchmark scores. The wins must be derived from the specification data. The Intel Arc A310E wins on FP32 throughput by a margin of 0.983 TFLOPS, which represents a 47% advantage over the NVIDIA part. In FP16, the Intel lead grows to 1.966 TFLOPS, a 47% advantage as well. Pixel fill rate favors Intel by 15.68 GPixel/s, which is roughly double the NVIDIA rate. Texture fill rate favors Intel by 31.36 GTexel/s, again roughly double. Memory bandwidth favors Intel by 21.6 GB/s, an 18% advantage despite the narrower 64 bit bus. The Intel card also supports a single-slot form factor with four display outputs, which gives it a connectivity advantage for multi-monitor setups. The NVIDIA Jetson Orin Nano Super counters with memory capacity, offering 8 GB versus 4 GB, a 100% increase. It also has a wider 128 bit memory bus. The NVIDIA part has 32 tensor cores, which the Intel card does not have at all, making it the only option for tensor-accelerated workloads in this comparison. The NVIDIA part draws 50 W less power, at 25 W versus 75 W, which is a 67% reduction. Its physical footprint is also smaller, at 70 mm by 45 mm versus 168 mm by 69 mm, making it suitable for compact embedded designs. The NVIDIA module has 1024 shading units versus 768, a 33% advantage in that count, though the Intel part still achieves higher throughput per clock due to its 2000 MHz clock versus no listed clock for NVIDIA.

The Verdict

The data directs each GPU to a distinct audience. The Intel Arc A310E is the choice for tasks that demand raw rendering throughput, higher frame buffer bandwidth, and direct display output. Its FP32 performance of 3.072 TFLOPS and FP16 performance of 6.144 TFLOPS outclass the NVIDIA part, and its pixel and texture rates are double. The four mini-DisplayPort 2.0 outputs make it a practical discrete GPU for multi-display workstation or embedded graphics use. Its end-of-life status and successor of Battlemage indicate it is a finishing product, but the recorded specifications still place it at the 50th percentile overall. The NVIDIA Jetson Orin Nano Super is the choice for edge AI and embedded inference. Its 32 tensor cores provide hardware acceleration that the Intel card cannot match, and its 8 GB LPDDR5 memory offers double the capacity for larger models or datasets. Its 25 W power draw and compact 70 mm by 45 mm footprint suit power-constrained or space-constrained deployments. Its active production status and December 16, 2024 release date indicate it is a current product, with a launch MSRP of 249 USD recorded in the database. The 50th percentile ranking for both GPUs suggests that neither dominates the overall GPU landscape, but within this pairing, the choice hinges on workload type. Rendering and display tasks favor the Intel Arc A310E. Tensor-heavy inference and low-power embedded tasks favor the NVIDIA Jetson Orin Nano Super. The absence of benchmark scores means the database cannot confirm real-world deltas, but the specification gap in FP32, fill rates, memory capacity, and tensor cores defines the boundary clearly.