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ASUS Ascent GX10

Chip NVIDIA GB10 Superchip
Unified Memory 128 GB LPDDR5x
AI Performance 1 PetaFLOP (FP4)
Storage 4 TB PCIe Gen5
₹3,82,033
Cluster configuration

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Total price ₹3,82,033

Full Specifications

Compute & Memory

Chip

NVIDIA GB10 Grace Blackwell Superchip

Unified Memory

128 GB LPDDR5x (273 GB/s bandwidth)

AI Performance

1 PetaFLOP (FP4)

Storage & Physical

Storage

4 TB NVMe Gen5

Dimensions

150 x 150 x 51 mm

Weight

1.5 kg

Display Outputs

Up to 5 simultaneous displays (HDMI 2.1 + USB-C DisplayPort 2.1 alt-mode)

Power & Thermal

Power Supply

240 W USB-C PD 3.1 EPR adapter

GPU Power Draw

69.77 W

Cooling

QuietFlow dual vapor chamber, dual 140mm fans, 5 heat pipes, 7-level fan control

Thermal Profile

CPU: 87.3 °C peak · GPU: 82 °C peak

Design & Security

Chassis

Toolless design; front-mounted power button with status LED

Durability

MIL-STD-810H tested

Security

TPM 2.0, Secure Boot

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ASUS introduced the Ascent GX10 on October 14, 2025, bringing the NVIDIA GB10 Grace Blackwell Superchip to a compact, toolless desktop chassis built for sustained local AI development. The system shipped ready to link two units via a direct ConnectX-7 connection, doubling combined performance to 2 petaFLOPS and unified memory to 256 GB.

On April 16, 2026, ASUS extended the Ascent GX10's clustering support to three linked units, raising combined unified memory to 384 GB and enabling inference on mixture-of-experts models of up to 800 billion parameters, while keeping the same compact footprint and toolless upgrade path as the single unit.

The Ascent GX10 pairs this GB10 platform with a set of practical, ASUS-engineered refinements: a front-mounted power button with an integrated status LED, QuietFlow dual vapor-chamber cooling tuned for sustained AI workloads, a toolless chassis for fast storage and memory servicing, and MIL-STD-810H durability certification.

Hardware Specifications

The Ascent GX10 delivers 1 petaFLOP of FP4 AI performance from the NVIDIA GB10 Grace Blackwell Superchip, pairing a 20-core Arm-based processor (10 × Cortex-X925 performance cores + 10 × Cortex-A725 efficiency cores) with 128 GB LPDDR5x unified memory offering 273 GB/s bandwidth. The base configuration includes a 1 TB PCIe Gen4 NVMe SSD, with a 4 TB PCIe Gen5 NVMe option available.

Connectivity & Display Support

An NVIDIA ConnectX-7 Smart NIC with dual 200 Gbps QSFP112 ports handles both high-speed external networking and direct unit-to-unit linking for clustered configurations. Additional connectivity includes 10 GbE Ethernet (RJ-45), Wi-Fi 7 (MediaTek AW-EM637, 2×2 MIMO), and Bluetooth 5.4. I/O comprises 3 × USB 3.2 Gen 2×2 Type-C (20 Gbps) with DisplayPort 2.1 alt-mode, 1 × USB-C with Power Delivery, and HDMI 2.1. Combined outputs support up to 5 simultaneous displays, suiting multi-monitor development setups.

Design, Durability & Serviceability

The Ascent GX10 places its power button on the front panel with an integrated status LED, keeping power state visible and controls reachable — particularly convenient when several units sit together for clustering. The chassis opens without tools, giving direct access to storage and memory for future upgrades. The unit is MIL-STD-810H tested for resistance to shock, vibration, and temperature extremes, and ships with TPM 2.0 and Secure Boot enabled for hardware-backed security.

Cooling & Thermal Efficiency

Thermal management is handled by QuietFlow, ASUS's dual vapor-chamber cooling system paired with dual 140 mm fans, five heat pipes (including one 8 mm pipe), and 7-level adaptive fan control. During sustained inference workloads, independent testing recorded CPU peaks of 87.3 °C and GPU peaks of 82 °C, with GPU power draw topping out at 69.77 W — figures consistent with stable, quiet operation across multi-hour inference and fine-tuning sessions.

Software & BIOS Tooling

Pre-installed NVIDIA DGX OS (Ubuntu-based) ships with the full NVIDIA AI software stack, including NVIDIA NIM microservices, Blueprints, PyTorch, and TensorRT, enabling immediate model deployment and fine-tuning. At the hardware level, ASUS's ROG-derived BIOS Suite brings fan-curve tuning, diagnostics, and low-level system monitoring familiar from ASUS's gaming and workstation lineups to the GB10 platform.

Architecture: Single, 2-Unit & 3-Unit Clustering

Every Ascent GX10 ships ready for clustering. Two units link directly via ConnectX-7 QSFP112 cabling for 2 petaFLOPS of combined performance and 256 GB of unified memory, suited to models of up to 405 billion parameters such as Llama 3.1 405B. A third unit can be added to the same fabric, raising combined memory to 384 GB and extending support to mixture-of-experts models of up to 800 billion parameters.

ComponentSingle Unit2-Unit Cluster3-Unit Cluster
Total Memory128 GB LPDDR5x256 GB (2 × 128 GB)384 GB (3 × 128 GB)
Local Memory Bandwidth (per node)273 GB/s273 GB/s (per node)273 GB/s (per node)
Inter-Node LinkN/A200 Gbps (ConnectX-7 QSFP112, direct link)200 Gbps per link (multi-node fabric)
AI Performance1 petaFLOP2 petaFLOPS3 petaFLOPS
Max Model Parameters200B405B800B+

Single-Unit Performance

vLLM benchmarking on a single unit demonstrates strong throughput scaling under increased batch load:

Model & WorkloadBatch 1Batch 64
GPT-OSS 120B (Equal ISL/OSL)70 tok/s680 tok/s
GPT-OSS 120B (Prefill Heavy)290 tok/s2,700 tok/s

Fine-tuning workloads reach up to 53,000 tokens per second when applying LoRA adapters to Llama 3 8B, and creative workloads such as ComfyUI-based image generation complete a 1-megapixel image in approximately 216 seconds — both achievable on a single unit without clustering.

Pricing & Market Position

Entry Price: ₹3,82,033.02. Buyers who plan to scale beyond a single unit can add a second or third Ascent GX10 to the same ConnectX-7 fabric, extending both compute and unified memory while remaining within a single, NVIDIA-certified GB10 ecosystem.

Ecosystem & Future Scaling

The Ascent GX10 ships as an NVIDIA-certified system with direct roadmap alignment to NVIDIA's DGX Spark platform. Its 2-unit and 3-unit clustering options are both vendor-supported and covered under standard warranty terms, giving buyers a clear, low-risk path to scale local AI capacity as workloads grow.

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