NVIDIA DGX Spark (GB10 Grace Blackwell) vs ASUS Ascent GX10 (GB10 Grace Blackwell) for AI
A head-to-head comparison of specs, pricing, and real-world AI performance to help you pick the right hardware.
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Quick Verdict
Both the NVIDIA DGX Spark (GB10 Grace Blackwell) and ASUS Ascent GX10 (GB10 Grace Blackwell) are strong contenders for AI workloads. Your choice should come down to specific workload requirements, budget, and ecosystem preferences. Check the specs comparison below to find the best fit.
NVIDIA DGX Spark (GB10 Grace Blackwell)
$6,950
NVIDIA's desktop AI supercomputer, and the CUDA-native answer to the Strix Halo boxes. The GB10 Grace Blackwell superchip pairs a 20-core Arm CPU with a Blackwell GPU and 128GB of coherent unified memory, with a 200GbE ConnectX-7 NIC so two units cluster to run 405B-class models. The headline '1 PFLOP FP4' is sparse — dense compute is roughly half (≈RTX 5070-class) — and at 273 GB/s, memory bandwidth is the real ceiling. You're buying CUDA + capacity, not bandwidth.
ASUS Ascent GX10 (GB10 Grace Blackwell)
$5,999 – $7,999
The cheaper way into NVIDIA's GB10 platform. Same GB10 superchip, 128GB unified memory, 273 GB/s bandwidth, ConnectX-7 200GbE and DGX OS as the DGX Spark — ASUS just puts it in its own stackable chassis with lower-cost SSD tiers that can undercut the NVIDIA Founders Edition. The most widely-shipping GB10 box right now.
Specs Comparison
| Spec | NVIDIA DGX Spark (GB10 Grace Blackwell) | ASUS Ascent GX10 (GB10 Grace Blackwell) |
|---|---|---|
| Price | $6,950 | $5,999 – $7,999 |
| Chip | GB10 Grace Blackwell Superchip | GB10 Grace Blackwell Superchip |
| CPU | 20-core Arm (10× Cortex-X925 + 10× A725) | 20-core Arm (10× Cortex-X925 + 10× A725) |
| GPU | Blackwell (5th-gen Tensor Cores), CUDA-native | Blackwell (5th-gen Tensor Cores), CUDA-native |
| AI Performance | Up to 1 PFLOP FP4 sparse (~500 TFLOPS dense) | — |
| Unified Memory | 128GB LPDDR5X | 128GB LPDDR5X |
| Memory Bandwidth | 273 GB/s | 273 GB/s |
| Networking | ConnectX-7 200GbE (2-unit clustering), 10GbE RJ-45 | ConnectX-7 200GbE, 10GbE |
| Storage | 4TB NVMe (self-encrypting) | 1TB / 2TB / 4TB NVMe |
| OS | NVIDIA DGX OS (Ubuntu-based) | NVIDIA DGX OS (Ubuntu-based) |
NVIDIA DGX Spark (GB10 Grace Blackwell)
Pros
- +CUDA-native + full NVIDIA/DGX software stack — best dev ergonomics for AI work
- +128GB unified in a 1.2kg box; 2-unit 200GbE stacking reaches 405B-class locally
- +Drop-in compatibility with the datacenter toolchain
Cons
- -273 GB/s bandwidth is low for the price — token throughput lags Apple Ultra and GPUs
- -Headline '1 PFLOP FP4' is sparse-only; dense compute ~5070-class, not datacenter-class
- -Price hiked twice in 2026 on memory supply — $3,999 → $4,699 (Feb) → $6,950 (Oct 2); the new 64GB SKU is $4,999 for half the memory
ASUS Ascent GX10 (GB10 Grace Blackwell)
Pros
- +Cheaper SSD tiers undercut the DGX Spark Founders Edition
- +Most widely-shipping GB10 box — actually in stock
- +Same CUDA stack + 200GbE clustering as DGX Spark
Cons
- -Identical 273 GB/s bandwidth ceiling as all GB10 boxes
- -Same sparse-FP4 compute caveat as DGX Spark
- -ASUS support for a brand-new product line is unproven
Where to Buy
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