Intel Arc A380E x2 vs NVIDIA RTX 5000 Embedded Ada Generation Comparison

Where Each One Wins

The recorded data for this comparison shows two professional-grade GPUs with fundamentally different design goals. The Intel Arc A380E x2 uses a dual-GPU configuration built around the DG2-128 chip, while the NVIDIA RTX 5000 Embedded Ada Generation is a single large Ada Lovelace die. The benchmark win split in the database is even at zero wins each, which reflects the absence of direct head-to-head measurements rather than a tie in capability. The qualitative picture, however, is clear from the specifications.

The Intel Arc A380E x2 configuration delivers 4.096 TFLOPS of FP32 compute across its two GPUs. That places it in the entry-level segment for embedded and edge deployments. Its 8 RT cores and 1024 shading units suggest it targets workloads that need basic ray tracing and moderate rasterization, but the 6 GB of GDDR6 memory per GPU with a 96-bit bus and 186.0 GB/s bandwidth limits how much data can be resident and how fast it can move. The pixel rate of 64.00 GPixel/s and texture rate of 128.0 GTexel/s are modest figures compared to the NVIDIA part. The dual-GPU arrangement is notable: two 6 GB memory pools mean the software stack must manage memory across devices, which adds complexity but also allows some parallel execution in multi-GPU-aware applications.

The NVIDIA RTX 5000 Embedded Ada Generation is a different class of hardware. Its 32.69 TFLOPS of FP32 compute is roughly eight times the Intel configuration. The 16 GB memory capacity with a 256-bit bus and 576.0 GB/s bandwidth gives it substantially more headroom for large models and high-resolution textures. The 76 RT cores, 304 tensor cores, and 9728 shading units indicate that this part is designed for AI inference, ray-traced rendering, and compute-heavy visualization tasks. Its pixel rate of 188.2 GPixel/s and texture rate of 510.7 GTexel/s are roughly three to four times the Intel figures. The NVIDIA part also carries a 120 W TDP, which is 10 W lower than the Intel dual-GPU setup despite delivering far more raw throughput.

The data suggests the Intel part wins in scenarios where low power per GPU and small physical footprint matter more than absolute performance. Its single-slot form factor, 265 mm length, and 20 mm width make it adaptable to compact chassis. The NVIDIA part, by contrast, is an IGP (integrated graphics processor) with no power connectors and dimensions that are not specified, meaning it is designed to be soldered or embedded directly into a carrier board. For applications that need eight display outputs, the Intel card provides 8x mini-DisplayPort 2.0 connections, while the NVIDIA part relies on portable-device-dependent outputs, so the Intel solution is the clear choice for multi-display signage or control-room walls. For compute and rendering density, the NVIDIA part wins outright.

The Verdict

The database shows two GPUs aimed at different deployment profiles. The Intel Arc A380E x2 is suited for systems where the requirement is multiple independent display outputs, modest compute, and a compact single-slot card. Its 8x mini-DisplayPort 2.0 outputs are a unique advantage. The NVIDIA RTX 5000 Embedded Ada Generation is suited for embedded systems that need high FP32 throughput, large memory capacity, and extensive ray tracing and tensor acceleration in a low-power, connector-free IGP package.

The NVIDIA part delivers 32.69 TFLOPS FP32 versus 4.096 TFLOPS for the Intel configuration, an eightfold difference. Its 16 GB memory is 2.67 times the Intel's 6 GB per GPU, and its 576.0 GB/s bandwidth is 3.1 times the Intel's 186.0 GB/s. The RT core count is 76 versus 8, and the tensor cores number 304 versus zero for Intel. The texture rate is 510.7 GTexel/s versus 128.0 GTexel/s, and the pixel rate is 188.2 GPixel/s versus 64.00 GPixel/s. The NVIDIA part achieves all of this at 120 W versus 130 W for the Intel dual-GPU card.

The Intel part's advantages are narrower. It uses a TSMC 6 nm process with a 157 mm² die, while the NVIDIA chip uses TSMC 5 nm with a 379 mm² die. The Intel card has a 300 W suggested PSU and a 6-pin power connector, while the NVIDIA IGP needs no external power. The Intel card is an active product line with an end-of-life production status, whereas the NVIDIA part is active. The release dates are close: March 2023 for the NVIDIA part and March 2024 for the Intel card. Neither product has a launch MSRP in the database.

For developers targeting AI inference, real-time ray tracing, or large data visualization, the NVIDIA RTX 5000 Embedded Ada Generation is the only plausible choice given the recorded specifications. For fanless, power-constrained embedded boards that need many display outputs and only light rendering, the Intel Arc A380E x2 is the more practical fit.

Head-to-Head Benchmarks

The head-to-head benchmark array in the database is empty, so there are no recorded delta percentage values or rival scores to cite. The comparison must therefore rely on the fixed specifications.

The largest single gap is in FP32 throughput. The NVIDIA part's 32.69 TFLOPS is exactly eight times the Intel's 4.096 TFLOPS. This is a decisive margin for any compute workload, from physics simulation to neural network inference. The FP16 figures tell a similar story: the NVIDIA part sustains 32.69 TFLOPS at 1:1 ratio, while the Intel part reaches 8.192 TFLOPS at 2:1 ratio. The NVIDIA part not only delivers more raw FP16 throughput, it does so without the 2:1 rate penalty that halves Intel's effective throughput in some workloads.

Memory bandwidth is another decisive gap. The NVIDIA part's 576.0 GB/s is 3.1 times the Intel's 186.0 GB/s. For workloads that stream large textures or weight matrices, this difference compounds with the compute gap. The NVIDIA part's 16 GB capacity is also double the Intel's 6 GB per GPU, and since the Intel configuration splits memory across two devices, the effective per-context memory is 6 GB unless the application explicitly uses both GPUs. The NVIDIA part's 256-bit bus versus 96-bit bus explains the bandwidth difference.

The render output and texture throughput gaps are equally stark. The NVIDIA part's 188.2 GPixel/s is 2.94 times the Intel's 64.00 GPixel/s. The texture rate of 510.7 GTexel/s is 3.99 times the Intel's 128.0 GTexel/s. In practical terms, the NVIDIA part can fill a 4K display at high refresh rates while also running compute workloads, whereas the Intel part is better suited to lower-resolution outputs or static content.

Clock speeds differ substantially. The Intel card runs at a flat 2000 MHz base and boost, while the NVIDIA part runs at 930 MHz base and 1680 MHz boost. The NVIDIA part's lower clocks are offset by its much larger shader count, 9728 versus 1024, which is 9.5 times more shading units. The NVIDIA part's 304 TMUs and 112 ROPs dwarf the Intel's 64 and 32, respectively.

The process node advantage belongs to NVIDIA. The TSMC 5 nm process with 45,900 million transistors and 121.1M transistors per mm² is denser than the Intel's TSMC 6 nm with 7,200 million transistors and 45.9M per mm². The NVIDIA die is 379 mm² versus 157 mm², so it packs over six times the transistor count into less than 2.5 times the die area.

FAQ

Q: Which GPU has more FP32 compute power?

A: The NVIDIA RTX 5000 Embedded Ada Generation delivers 32.69 TFLOPS, exactly eight times the Intel Arc A380E x2's 4.096 TFLOPS.

Q: How much memory does each GPU have?

A: The Intel Arc A380E x2 has 6 GB of GDDR6 per GPU across a 96-bit bus, while the NVIDIA RTX 5000 Embedded Ada Generation has 16 GB of GDDR6 across a 256-bit bus.

Q: Which GPU supports tensor operations?

A: Only the NVIDIA RTX 5000 Embedded Ada Generation includes tensor cores, with 304 of them. The Intel Arc A380E x2 has no tensor core count listed in the database.

Q: What are the power requirements for each?

A: The Intel Arc A380E x2 has a 130 W TDP, requires a 6-pin power connector, and lists a 300 W suggested PSU. The NVIDIA RTX 5000 Embedded Ada Generation has a 120 W TDP and uses no power connectors.

Q: Which GPU has more display outputs?

A: The Intel Arc A380E x2 provides 8x mini-DisplayPort 2.0 outputs. The NVIDIA RTX 5000 Embedded Ada Generation's display outputs are listed as portable device dependent.

Q: What is the production status of each GPU?

A: The Intel Arc A380E x2 is end-of-life with a March 2024 release date. The NVIDIA RTX 5000 Embedded Ada Generation is active with a March 2023 release date.

Architecture Differences

The Intel Arc A380E x2 is built on the DG2-128 chip using the Xe-HPG architecture, part of the Alchemist generation (Arc 3). It uses a TSMC 6 nm process with 7,200 million transistors on a 157 mm² die, yielding a transistor density of 45.9M per mm². Its predecessor is Xe Graphics and its successor is Battlemage. The dual-GPU card runs at 2000 MHz base and boost clocks, with memory at 1937 MHz (15.5 Gbps effective). It has 1024 shading units, 64 TMUs, 32 ROPs, and 8 RT cores. The card is single-slot, 265 mm long, 127 mm tall, and 20 mm wide, with a PCIe 4.0 x8 interface. It supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The FP16 rate is 8.192 TFLOPS at a 2:1 ratio, meaning FP16 throughput is achieved by pairing FP32 units rather than dedicated hardware.

The NVIDIA RTX 5000 Embedded Ada Generation is built on the AD103 chip using the Ada Lovelace architecture, listed as part of the GeForce 50-series and the Ada-MW generation. It uses a TSMC 5 nm process with 45,900 million transistors on a 379 mm² die, yielding a transistor density of 121.1M per mm². Its predecessor is Ampere-MW and its successor is Blackwell-MW. The base clock is 930 MHz with a 1680 MHz boost, and memory runs at 2250 MHz (18 Gbps effective). It has 9728 shading units, 304 TMUs, 112 ROPs, 76 RT cores, and 304 tensor cores. The FP16 rate is 32.69 TFLOPS at a 1:1 ratio, meaning it uses dedicated FP16 hardware rather than rate-halved FP32 units. The part is an IGP with no power connectors, no listed dimensions, and a PCIe 4.0 x16 interface.

The architectural differences are profound. The NVIDIA part uses a newer, denser process node (5 nm versus 6 nm) and packs 6.375 times more transistors. The shading unit count is 9.5 times higher. The RT core count is 9.5 times higher. The tensor core count of 304 versus none indicates that AI acceleration is a core feature of the NVIDIA design and absent from the Intel design. The memory subsystem is wider (256-bit versus 96-bit) and faster (18 Gbps effective versus 15.5 Gbps effective), producing 3.1 times the bandwidth. The power envelope is nearly identical, 120 W versus 130 W, which makes the NVIDIA part's performance-per-watt gap even more pronounced. The Intel part's dual-GPU arrangement doubles the display output count to 8x mini-DisplayPort 2.0, a feature no single-GPU design in this comparison can match. The NVIDIA part's IGP form factor with no power connectors suits direct board integration, while the Intel card's expansion-slot form factor with a 6-pin connector suits standard chassis builds.