Personal AI supercomputer
AI supercomputers in Bangalore: NVIDIA DGX Spark and every GB10 system
Every AI supercomputer Bangalore teams are putting on their desks, in one place: a petaflop of AI compute and 128GB of unified memory in a 15 cm square box that weighs 1.2 kg. Run, fine-tune and serve large models and AI agents on your own desk, without paying cloud GPU bills.
WhatsApp 97392 21133See all AI supercomputers
Short answer: You can buy the NVIDIA DGX Spark in Bangalore at YourShoppy, 1st Block Koramangala, along with the other GB10 systems built on the same chip: ASUS Ascent GX10, MSI EdgeXpert and Dell Pro Max GB10. All of them are listed below with a filter, so you can compare storage, networking and price in one place.
WhatsApp 97392 21133 or 98869 19198 for today’s price and stock, or to talk through which one fits your workload.
What the NVIDIA DGX Spark actually does
DGX Spark is NVIDIA’s desktop AI computer. Inside is the GB10 Grace Blackwell Superchip: a 20-core Arm CPU and a Blackwell GPU sharing 128GB of memory. Because the CPU and GPU share that memory, you can load models that would never fit on a gaming graphics card.
In practice, that means:
- Run models up to 200 billion parameters locally for development, testing and inference.
- Fine-tune models up to 70 billion parameters on your own data, which never leaves your office.
- Link up to four units over the built-in ConnectX-7 200Gbps network to work with models of up to 700 billion parameters.
- Keep AI agents running all day on a 240W box instead of renting cloud GPUs by the hour.
It ships with NVIDIA DGX OS and NVIDIA’s AI software stack preinstalled, including NIM microservices and the Agent Toolkit, so you don’t have to build the software setup from scratch.
NVIDIA DGX Spark specifications
| Superchip | NVIDIA GB10 Grace Blackwell |
|---|---|
| CPU | 20-core Arm (10× Cortex-X925 + 10× Cortex-A725) |
| GPU | Blackwell, 5th-gen Tensor Cores, 4th-gen RT Cores |
| AI performance | Up to 1 PFLOP FP4 (with sparsity) |
| Memory | 128GB LPDDR5x unified, 256-bit, 273 GB/s |
| Storage | 4TB NVMe M.2, self-encrypting |
| Networking | 10GbE RJ-45, ConnectX-7 200Gbps, Wi-Fi 7, Bluetooth 5.4 |
| Ports | 4× USB-C, 1× HDMI 2.1a, up to 3 displays over USB-C |
| Power | 240W power supply, 140W chip TDP |
| Size and weight | 150 × 150 × 50.5 mm, 1.2 kg |
| Noise | 29 dB sound pressure under load, 13 dB idle |
| Software | NVIDIA DGX OS, NVIDIA AI stack, NIM, Agent Toolkit |
Specs from NVIDIA’s DGX Spark page.
DGX Spark vs ASUS Ascent GX10 vs MSI EdgeXpert vs Dell Pro Max GB10
All four are built on the same GB10 superchip with 128GB of unified memory, so AI performance is the same. What changes is storage, the chassis, and whose warranty and support you get.
| System | Storage options we list | Good to know |
|---|---|---|
| NVIDIA DGX Spark | 4TB | NVIDIA’s own reference design |
| ASUS Ascent GX10 | 1TB, 2TB, 4TB | Lowest entry point if you don’t need 4TB |
| MSI EdgeXpert (MS-C931) | 4TB | Self-encrypting SSD, Wi-Fi 7, 3-year warranty |
| HP ZGX Nano G1n | 2TB, 4TB | HP ZGX Toolkit, 3-year HP warranty |
| Dell Pro Max GB10 (FCM1253) | 2TB, 4TB | Wi-Fi 7, onsite Dell service, 1 or 3-year warranty |
Acer (Veriton GN100) and Lenovo also make GB10 systems. If you want one of those, WhatsApp us and we’ll check availability.
Shop all AI supercomputers
Filter by brand, storage, networking or price. Every system here uses the NVIDIA GB10 Grace Blackwell Superchip.
HP ZGX Nano G1n AI Station (D8ZJ9PT)
- NVIDIA® GB10 Grace Blackwell Superchip (20 cores) — up to 1,000 TOPS FP4 AI performance
- NVIDIA® Blackwell GPU (integrated in GB10 Superchip)
- 128 GB LPDDR5x-8533 MT/s coherent unified memory (onboard)
- 4 TB PCIe® Gen4 NVMe™ TLC SED M.2 SSD (self-encrypting drive)
- NVIDIA DGX™ OS
- Mini Form Factor — 150 x 150 x 51 mm
- 3-Year Warranty
MSI EdgeXpert AI Supercomputer, 4TB Storage, NVIDIA DGX Spark Platform
- AI Processor: NVIDIA® GB10 Grace Blackwell Superchip — 1 petaFLOP AI Performance (FP4, Sparse); 5th-Gen Tensor Cores; TF32, FP16, BF16, INT8, FP8, FP6, FP4
- CPU: NVIDIA® Grace CPU — Arm 20-core (10× Cortex-X925 + 10× Cortex-A725)
- Memory: 128 GB LPDDR5x Unified System Memory — 256-bit interface, 273 GB/s bandwidth; run models up to 200B parameters
- Storage: 4 TB NVMe M.2 SSD with self-encryption
- Connectivity: Wi-Fi 7 | Bluetooth® 5.3 | 10 GbE (ConnectX-7 Smart NIC) | 4× USB 3.2 Type-C (20 Gb/s)
- Display Output: 1× HDMI 2.1a + 4× DisplayPort 1.4a via USB-C
- OS: NVIDIA® DGX™ OS — AI software stack pre-installed
- Form Factor: Compact Mini PC — 151 × 151 × 52 mm, 1.19L, 1.2 kg | Cluster 2 units for 405B-parameter models | 3-Year Warranty
ASUS Ascent GX10 AI Supercomputer- GB10 Grace Blackwell,128GB,4TB
- NVIDIA® GB10 Grace Blackwell Superchip — 20-core Armv9.2 CPU + Blackwell GPU | up to 1000 AI TOPS (1 PFLOP FP4)
- 128 GB LPDDR5x Unified Memory (CPU + GPU share one pool — no bandwidth bottleneck)
- 4 TB M.2 NVMe PCIe 5.0 SSD | Ubuntu Linux | NVIDIA DGX Spark platform
- Wi-Fi 7 (802.11be) + Bluetooth 5.4 | 10G Ethernet + NVIDIA ConnectX-7 SmartNIC
- 4× USB-C 3.2 Gen 2×2 (20 Gbps) — 3× with DisplayPort 2.1 | 1× 180W PD-in
- HDMI 2.1 | up to 4 simultaneous displays | 150 × 150 × 51 mm | 1.48 kg
- Run 200B+ parameter AI models locally — scale to 256 GB via NVLink (2× GX10)
- 1-Year Warranty
NVIDIA DGX Spark 4TB Personal AI Supercomputer-940-54242-0008-000
- AI Processor: NVIDIA® GB10 Grace Blackwell Superchip — 1 petaFLOP AI Performance (FP4, Sparse); 5th-Gen Tensor Cores; 4th-Gen RT Cores
- CPU: NVIDIA® Grace CPU — Arm 20-core (10× Cortex-X925 + 10× Cortex-A725)
- Memory: 128 GB LPDDR5x Unified System Memory — 256-bit interface, 273 GB/s bandwidth; run models up to 200B parameters
- Storage: 4 TB NVMe M.2 SSD with self-encryption
- Connectivity: Wi-Fi 7 | Bluetooth® 5.3 | 10 GbE (ConnectX-7 Smart NIC @ 200 Gbps) | 4× USB Type-C
- Display Output: 1× HDMI 2.1a + up to 3× DisplayPort via USB-C
- OS: NVIDIA® DGX™ OS — AI software stack pre-installed
- Form Factor: Compact Mini PC — 150 × 150 × 50.5 mm, ~1.14L, 1.2 kg | Cluster 2 units for 405B-parameter models | 1-Year Warranty
Asus Ascent GX10 AI Supercomputer — GB10 Grace Blackwell, 128GB, 2TB
- NVIDIA® GB10 Grace Blackwell Superchip — 20-core Armv9.2 CPU + Blackwell GPU | up to 1000 AI TOPS (1 PFLOP FP4)
- 128 GB LPDDR5x Unified Memory (CPU + GPU share one pool — no bandwidth bottleneck)
- 2 TB M.2 NVMe PCIe 4.0 SSD | Ubuntu Linux | NVIDIA DGX Spark platform
- Wi-Fi 7 (802.11be) + Bluetooth 5.4 | 10G Ethernet + NVIDIA ConnectX-7 SmartNIC
- 4× USB-C 3.2 Gen 2×2 (20 Gbps) — 3× with DisplayPort 2.1 | 1× 180W PD-in
- HDMI 2.1 | up to 4 simultaneous displays | 150 × 150 × 51 mm | 1.48 kg
- Run 200B+ parameter AI models locally — scale to 256 GB via NVLink (2× GX10)
- 1-Year Warranty
ASUS Ascent GX10 AI Supercomputer, GB10 Grace Blackwell, 128GB RAM, 1TB SSD,
- NVIDIA® GB10 Grace Blackwell Superchip — 20-core Armv9.2 CPU + Blackwell GPU | up to 1000 AI TOPS (1 PFLOP FP4)
- 128 GB LPDDR5x Unified Memory (CPU + GPU share one pool — no bandwidth bottleneck)
- 1 TB M.2 NVMe PCIe 4.0 SSD | Ubuntu Linux | NVIDIA DGX Spark platform
- Wi-Fi 7 (802.11be) + Bluetooth 5.4 | 10G Ethernet + NVIDIA ConnectX-7 SmartNIC
- 4× USB-C 3.2 Gen 2×2 (20 Gbps) — 3× with DisplayPort 2.1 | 1× 180W PD-in
- HDMI 2.1 | up to 4 simultaneous displays | 150 × 150 × 51 mm | 1.48 kg
- Run 200B+ parameter AI models locally — scale to 256 GB via NVLink (2× GX10)
- 1-Year Warranty
Dell Pro Max FCM1253 Micro AI Desktop, NVIDIA GB10 Grace Blackwell, 128GB Unified Memory, 4TB SSD, NVIDIA DGX OS
- NVIDIA GB10 Grace Blackwell Superchip — 20-core Arm CPU, 16 MB L2 Cache
- NVIDIA Blackwell GPU (integrated, unified with GB10) for local AI inferencing & development
- 128 GB LPDDR5x coherent unified system memory (273 GB/s)
- 4 TB M.2 2242 SSD (Self-Encrypting, Opal 2.0)
- NVIDIA DGX™ OS
- ConnectX-7 Smart NIC (2 × 200G QSFP) + 10GbE LAN + Wi-Fi 7 + Bluetooth 5.4
- Compact Micro Form Factor (150 × 150 mm, 1.31 kg) — 280 W USB-C power
- 1-Year Basic Onsite Warranty
Who should buy a DGX Spark or GB10 system?
- AI startups and product teams building agents or RAG apps who are tired of cloud GPU bills.
- Researchers and students who need to fine-tune 7B to 70B models without waiting in a cluster queue.
- Companies with sensitive data (finance, health, legal) that can’t send it to a public cloud.
- Robotics and computer-vision teams using NVIDIA Isaac, Metropolis or Holoscan.
If you mostly game, edit video or run small models, a workstation or a high-end gaming laptop with an RTX GPU is the better buy. Ask us and we’ll tell you honestly.
Talk to us about your AI workload
Tell us the models you want to run and your budget. We’ll suggest the right GB10 system and send today’s price.
Buying from YourShoppy
We’re in 1st Block Koramangala and have sold computers in Bangalore since 2010. Every system is sealed with manufacturer warranty, and you get a GST invoice with the serial number. Buying for a company? Share your GSTIN and we’ll invoice it to the company. Talk to your CA about claiming input tax credit.
EMI options are available on select cards; see our EMI page. Ordering for a team? See bulk purchase.
Address: YourShoppy, 339, 1st Floor, 1st Main Cross, next to Essar Petrol Bunk, 1st Block Koramangala, Bengaluru 560034
Hours: Monday to Sunday, 10:30 AM to 9 PM
Phone:97392 21133 · 98869 19198 · 080 4141 0072
WhatsApp:97392 21133 or 98869 19198
Common questions
Where can I buy NVIDIA DGX Spark in Bangalore?
At YourShoppy, 339, 1st Floor, 1st Main Cross, 1st Block Koramangala, Bengaluru. WhatsApp 97392 21133 or 98869 19198 for today’s price and stock.
What size AI models can DGX Spark run?
One DGX Spark runs models up to 200 billion parameters and fine-tunes models up to 70 billion parameters. Up to four units can be linked over ConnectX-7 for models up to 700 billion parameters.
Is the ASUS Ascent GX10 the same as DGX Spark?
It uses the same NVIDIA GB10 Grace Blackwell Superchip with 128GB unified memory, so AI performance is the same. The differences are storage options, chassis, and ASUS warranty and support.
What operating system does DGX Spark use?
NVIDIA DGX OS, with NVIDIA’s AI software stack preinstalled, including NIM microservices and the Agent Toolkit.
Can a company buy DGX Spark with a GST invoice?
Yes. Share your company GSTIN and we’ll raise the invoice in the company’s name.