AI & GPU SERVERS –
solutions IN INDIA
High-Performance Rack, Tower & Storage Servers for AI,
Deep Learning, Cloud & Data Centers
AI & GPU Servers for Enterprise AI, HPC, and Generative Workloads
AI-driven transformation is reshaping compute requirements across industries. To support modern AI workloads, organizations are adopting specialized AI servers and GPU servers engineered for high-performance computing, machine learning, generative AI, and real-time inference. These platforms enable scalable parallel processing, efficient model training, and accelerated deployment of production-grade AI infrastructure.
AI Servers
AI servers are purpose-built machine learning servers designed to accelerate model training and inference. Equipped with multi-GPU acceleration, high-bandwidth memory, and fast interconnects, they are optimized for LLM training, deep learning, Generative AI (GenAI), and computer vision workloads.
Key Capabilities
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Accelerated ML model training for LLMs and DNNs
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High-throughput AI inference for real-time applications
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Support for modern AI frameworks (PyTorch, TensorFlow, JAX)
GPU Servers
GPU servers utilize graphical processing units to deliver high-parallel performance for both AI and non-AI compute workloads. They serve as cost-effective platforms for HPC compute, 3D rendering, simulation, engineering, and GPU-accelerated virtualization.
Key Capabilities
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High parallel compute throughput for HPC workloads
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GPU virtualization for multi-user environments (VDI)
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Rendering and post-production acceleration for media workloads
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Flexible deployment across cloud, hybrid, or on-prem data centers
AI Servers vs GPU Servers- Platform Selection
| Workload | Recommended Platform |
|---|---|
| LLM training & fine-tuning | AI Server |
| Generative AI model inference | AI Server |
| Graphics rendering & VFX pipelines | GPU Server |
| Scientific simulation & HPC compute | GPU Server |
| GPU virtualization (VDI) | GPU Server |
| Enterprise AI R&D | AI Server |
Organizations deploying AI and GPU compute gain measurable improvements in:
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Time-to-model and time-to-insight
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Parallel data processing efficiency
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Inference performance for production AI
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Data center density and TCO optimization
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Scalable GenAI infrastructure
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Support for HPC and visualization workloads
Compatibility with industry-standard toolchains—CUDA, ROCm, ONNX Runtime, Triton, PyTorch, TensorFlow—ensures seamless integration into modern AI pipelines.
ASUS AI Servers and GPU Servers for Enterprise AI and HPC Workloads
Enterprises adopting artificial intelligence today require high-performance AI server solutions capable of powering deep neural networks, predictive analytics, and real-time inference. ASUS delivers scalable artificial intelligence servers, built to run machine learning server workloads, best AI software for business, and cloud or on-prem best AI services.
If your organization is evaluating the best AI for business, requiring a server for AI, or exploring server ai for advanced analytics, ASUS provides a future-proof platform engineered for AI-driven digital transformation.
Powered by NVIDIA GPUs, ASUS platforms support nvidia deep learning server use cases, enabling accelerated deep learning, LLM training, and enterprise inference workflows.
Why Businesses Choose ASUS for
AI & GPU Workloads
ASUS servers enable enterprises to:
- Train AI and machine learning models significantly faster
- Reduce time-to-insight through GPU acceleration
- Scale from single-node deployments to multi-GPU clusters
- Run hybrid on-prem and cloud AI architectures
- Support inference, training, and HPC on the same platform
Whether you are building a research cluster, deploying an AI-first SaaS product, or integrating AI into existing workflows, ASUS provides the best AI infrastructure foundation.
ASUS AI Server Models
ASUS ESC8000A-E11
Specifications:
- CPU: Dual AMD EPYC 7002/7003 Series (High Core Count)
- GPU: Supports up to 8 Dual-Slot NVIDIA GPUs
- Expansion: Up to 11 x PCIe 4.0 x16 Slots
- Storage: 8 x 2.5″/3.5″ Hot-Swap (NVMe/SATA/SAS)
- Memory: Up to 4TB DDR4 ECC
- Management: ASUS Control Center + ASMB10-iKVM
- Power: Redundant Titanium-Level PSU
Best For: AI training, Deep Learning, Neural Network workloads, Research HPC
ASUS ESC8000A-E12
Specifications:
- CPU: Dual AMD EPYC 9004/9005 Series (Zen 4)
- GPU: Supports up to 8 Dual-Slot GPUs / NVLink
- Expansion: PCIe Gen5 x16 High-Bandwidth Slots
- Memory: DDR5 ECC 12-Channel
- Storage: 8 x NVMe/SATA/SAS + M.2
- Networking: 10/25GbE Options + Management Port
- Power: Redundant Titanium PSU
Best For: Generative AI, LLM Training, Nvidia Deep Learning Server Use Cases
ASUS RS720A-E11
Specifications:
- CPU: Dual AMD EPYC 7003/7002 Series
- GPU: Supports up to 2-4 GPUs
- Memory: DDR4 ECC (High-Capacity Configurations)
- Storage: Mix NVMe + SATA Hot-Swap Bays
- Form Factor: 2U Rackmount
- Cooling: Optimized Thermal for Inference Loads
Best For: Real-Time AI Inference, AI-as-a-Service Platforms, Analytics Workloads
ASUS GPU Server Models
ASUS ESC4000A-E12
Specifications:
- CPU: Single AMD EPYC 9004 Series (96+ Cores)
- GPU: Supports up to 4 Dual-Slot GPUs
- Expansion: PCIe Gen5 x16 Slots
- Memory: Up to 12 x DIMM DDR5
- Storage: NVMe + SATA Mixed Drive Bays
- Management: ASMB11-iKVM
Best For: GPU Clusters, ML Model Training, Cloud AI
ASUS ESC4000 G4
Specifications:
- CPU: Intel Xeon Scalable (Dual Socket)
- GPU: Supports up to 4 GPUs
- Expansion: PCIe Gen3 x16 Scaling
- Storage: Hybrid NVMe/SATA
- Form Factor: 2U Rackmount
- Management: ASUS BMC iKVM
Best For: Medium-Scale AI, Research Labs, ML Ops Environments
ASUS RS720-E10
Specifications:
- CPU: Dual Intel Xeon (2nd/3rd Gen Scalable)
- GPU: Supports 2-3 GPUs
- Memory: DDR4 ECC High Capacity
- Storage: Multi NVMe + SATA Hot-Swap
- Network: Optional 10/25/40GbE
- Chassis: Enterprise 2U Rackmount
Best For: AI Inference, Video Analytics, AI Workload Consolidation
Supermicro AI & GPU Servers – Built for Deep Learning and Enterprise Compute
Vays Info Tech delivers enterprise-grade Supermicro AI and GPU servers designed for extreme workloads such as deep learning, model training, virtualization, edge computing, cloud hosting, and large-scale data center deployments.
With optimized performance, modular architecture, and the latest NVIDIA GPUs, Supermicro remains the preferred choice for IT teams, enterprises, and AI startups across India.
If you are searching for AI GPU servers, rack servers, tower servers, blade servers, storage servers, server racks, or a fully customized Supermicro configuration — this page is built to help you get the right solution instantly.
Supermicro AI & GPU Server Solutions We Offer
GPU Servers (AI-Optimized)
A100 & 10 GPU server Built for deep learning, data analytics, model development.
Tower Servers
Edge computing & Backup stroage Best for small businesses, branch offices, and SMB IT setups.
Storage Servers
High-density HDD nodes & Hybrid stroage Designed for high-capacity storage, archival, and NAS workloads.
Why Supermicro for AI & GPU Workloads?
Extreme GPU Density
Supports up to 8–10 GPUs (dual/triple GPU nodes also available)
Thermal Efficiency
Enterprise-grade cooling for high-load GPU environments
Flexible Architecture:
Rack servers, Tower servers, Mini servers & Blade servers
Supermicro GPU Servers (AI-Optimized)
AS-4124GS-TNR — A+ 4U GPU server (AMD EPYC & 8-GPU)
Form factor: 4U.
CPU: Dual AMD EPYC 7003/7002 (Socket SP3).
Memory: up to 32 DIMMs (up to 8TB DDR4 registered ECC on typical configs).
GPU: direct-connect up to 8 double-width GPUs (9 PCIe4 x16 slots or option for 10 without NVMe).
Storage: up to 24 hot-swap 2.5″ drive bays. Power: 2000W+ redundant PSUs (platform grade).
AS-2124GQ-NART — 2U A+ GPU (HGX A100 4-GPU)
Form factor: 2U.
CPU: Dual AMD EPYC 7003/7002.
Memory: up to 32 DIMMs (~8TB).
GPU: NVIDIA HGX A100 4-GPU configuration (NVLink/NVSwitch, designed for high GPU interconnect throughput).
Storage: 4 hot-swap 2.5″ bays (hybrid).
AS-1014S-WTRT — 1U WIO A+ (compact AMD EPYC)
Form factor: 1U.
CPU: Single AMD EPYC 7002/7003.
Memory: 8 DIMMs; up to ~2TB DDR4 (3DS where supported).
Storage: 4 hot-swap 3.5″ SATA bays (WIO), optional NVMe kits. I/O: 2 × 10GbE on many SKUs. Good for dense storage + compute tasks.
Supermicro Tower Servers
SYS-7049P-TR — 4U rack/tower workstation variant
Form factor: 4U rack/tower.
CPU: Dual Xeon Scalable family.
Memory: 16 DIMM slots (up to multi-TB depending on config).
Storage: hot-swap support, RAID options.
Target: workstation / server hybrid.
SYS-7049A-T — 4U SuperWorkstation (full-tower)
Form factor: 4U tower / rack.
CPU: Dual Xeon Scalable (LGA3647 on many SKUs). Memory: ~16 DIMMs (up to ~4 TB 3DS DDR4 on some configs).
Storage: up to 8× 3.5″ drive bays (workstation-oriented), multiple PCIe slots for GPUs and expansion.
Supermicro Edge Servers
SYS-E403-14B-FRN2T — IoT / Edge
Form factor: short-depth (box/embedded, ~16″ depth).
CPU: Single Intel Xeon 6700/6500 series.
Memory: up to 8 DIMMs / up to 2TB DDR5 depending on CPU.
I/O: up to 3 × PCIe 5.0 x16 slots (FHFL), 2 × 10GbE onboard. Storage: 2 front hot-swap 2.5″ NVMe + 2 internal 2.5″ SATA + M.2.
Power: single or redundant 800W platinum depending SKU.
SYS-111E-FWTR / SYS-111E-WR — 1U front-I/O / WIO edge servers
Form factor: 1U short-depth front I/O (WIO).
CPU: Single Socket E (LGA-4677) — 4th/5th Gen Intel Xeon Scalable.
Memory: 8 DIMMs DDR5 (up to ~2TB in many SKUs).
Storage: SYS-111E-FWTR (2 × 2.5″ + 1 M.2) and SYS-111E-WR (10 × 2.5″ hot-swap hybrid NVMe options).
I/O: 2 × 10GbE etc. Good for Open-RAN, vBBU, MEC and edge compute.
Supermicro Storage Servers
Storage SuperServer SSG-640SP-DE2CR90
Key Features
- Two hot-pluggable systems (nodes) in a 4U form factor.
- Dual socket 3rd Gen Intel® Xeon® Scalable processors, up to 72 Cores Per
Node. - 16 ECC DDR4-3200: LRDIMM/RDIMM.
- 3 x PCIe 4.0 x16 HHHL PCIe slots.
- 90 3.5″/2.5″ Hot-swap SAS3 drives, 2x Fixed slim SATA SSD, 2x NVMe M.2
- 6x 8cm hot-swap counter-rotate redundant PWM cooling fans;
- 2600W Redundant Power Supplies Titanium Level (96%).
- Server remote management: IPMI 2.0 / KVM over LAN / Media over LAN
HBA Controller support via Broadcom - Dedicated node to node connectivity featuring high performance.
Storage SuperServer SSG-640SP-E1CR60
Key Features
- Dual socket 3rd Gen Intel® Xeon® Scalable processors, up to 72 Cores.
- 16 ECC DDR4-3200: LRDIMM/RDIMM.
- 3 x PCIe 4.0 x16 HHHL PCIe slots.
- 60 3.5″/2.5″ Hot-swap SAS3/SATA3 drives, 2x Fixed slim SATA SSD, 2x NVMe
M.2 (form factor: 2280 and 22110). - 6x 8cm hot-swap counter-rotate redundant PWM cooling fans.
- 2000W Redundant Power Supplies Titanium Level (96%).
- Server remote management: IPMI 2.0 / KVM over LAN / Media over LAN
Drive Controller support via Broadcom® 3916 or 3616.
Storage SuperServer SSG-640SP-DE1CR60
Key Features
- Two hot-pluggable systems (nodes) in a 4U form factor. Each node supports
the following. - Dual socket 3rd Gen Intel® Xeon® Scalable processors, up to 72 Cores Per
Node. - 16 ECC DDR4-3200: LRDIMM/RDIMM.
- 3 x PCIe 4.0 x16 HHHL PCIe slots;
- 60 3.5″/2.5″ Hot-swap SAS3/SATA3 drives.
- 6x 8cm hot-swap counter-rotate redundant PWM cooling fans.
- 2600W Redundant Power Supplies Titanium Level (96%).
- Server remote management: IPMI 2.0 / KVM over LAN / Media over LAN
Drive Controller support via Broadcom® 3916 or 3616.
All Flash NVMe Storage & EDSFF
Storage SuperServer SSG-121E-NE316R
Key Features
- Dual Socket E (LGA-4677) 5th/4th Generation Intel® Xeon® Scalable
processors. Up to 270W TDP. - Supports 32 DIMMs with 2DPC, up to 8TB memory capacity with 32 DIMMs of
256GB 3DS RDIMM DDR5-5600 ECC memory. - Two PCIe 5.0 x16 slots & two AIOM connectors (OCP 3.0 SFF compliant);
- 16x hot-swap E3.S (7.5mm) NVMe drive bays.
- Redundant Titanium 1600W Power Supplies.
Storage A+ Server ASG-2115S-NE332R
Key Features
- Single Socket SP5 AMD EPYC™ 9004/9005 Series processor,up to 360W TDP.
- Supports 24 DIMMs with 2DPC, up to 9TB memory capacity with 24 DIMMs of
384GB 3DS RDIMM/RDIMM DDR5 ECC memory. - 2 PCIe 5.0 x16 slots & 2 AIOM connectors (OCP 3.0 SFF compliant).
- 32 Hot-swap E3.S (7.5mm) NVMe PCIe5.0 x2 drive bays.
- Redundant Titanium 2000W Power Supplies.
UP Storage SuperServer SSG-110P-NTR10
Key Features
- Single Socket P+ (LGA-4189) 3rd Gen Intel® Xeon® Scalable processors. Up to
270W TDP. - 8 DIMMs; Supports 3DS DDR4-3200: RDIMM/LRDIMM/Intel® Intel® DCPMM.
- 1 PCIe 4.0 x16 (FHHL) slot.
- Intel® Ethernet Controller X550 2x 10GbE RJ45.
- 10x Hot-swap 2.5” All NVMe Gen 4 tool-less drive bays. Onboard 2x NVMe
Gen 3/SATA M.2. - Redundant Platinum 860W Power Supply.
Hyper Super Servers
Hyper SuperServer SYS-621H-TN12R
Key Features
- Dual Socket E (LGA-4677) 5th/4th Gen Intel® Xeon® Scalable processors.
- 32 DIMM slots supporting up to 8TB of memory. RDIMMs up to DDR5-5600.
- Optional PCIe slot configurations up to 8 PCIe 5.0 x8 or 4 PCIe 5.0 x16 slots
with support for double-width GPU/Accelerator cards. - Flexible networking options with up to 2 AIOM networking slots (OCP NIC 3.0
compatible). - 4 heavy duty hot-swap fans with optimal fan speed control.
Hyper SuperServer SYS-221H-TN24R
Key Features
- Dual Socket E (LGA-4677) 5th/4th Gen Intel® Xeon® Scalable processors.
- 32 DIMM slots supporting up to 8TB of memory. RDIMMs up to DDR5-5600.
- Optional PCIe slot configurations up to 8 PCIe 5.0 x8 or 4 PCIe 5.0 x16 slots
with support for double-width GPU/Accelerator cards. - Flexible networking options with up to 2 AIOM networking slots (OCP NIC 3.0
compatible). - 24x 2.5″ hot-swap NVMe/SATA/SAS drive bays, 2x internal M.2 NVMe/SATA
drive slots, Optional RAID support via storage add-on card. - 4 heavy duty hot-swap fans with optimal fan speed control.
Hyper SuperServer SYS-121H-TNR
Key Features
- Dual Socket E (LGA-4677) 5th/4th Gen Intel® Xeon® Scalable processors.
- 32 DIMM slots supporting up to 8TB of memory, RDIMMs up to DDR5-5600.
- 3 PCIe 5.0 x16 slots with support for GPU/Accelerator cards.
- Flexible networking options with 1 AIOM networking slot (OCP NIC 3.0
compatible). - 8x 2.5″ hot-swap NVMe/SATA/SAS drive bays. Optional 4x 2.5″ hot-swap
NVMe/SAS/SATA drive bays; 2x internal M.2 NVMe/SATA drive slots. Optional RAID support via storage add-on card. - 8 heavy duty hot-swap fans with optimal fan speed control.
1U Servers
SYS-111C-NR — 1U UP CloudDC
Form factor: 1U.
CPU: Single Socket E (LGA-4677) — 4th/5th-Gen Intel Xeon Scalable (up to ~350W TDP).
Memory: 16 DIMMs, DDR5 RDIMM (supports 3DS).
Storage: 10x front hot-swap 2.5″ (configurable NVMe/SAS/SATA) + 2x M.2. PCIe: 2 × PCIe 5.0 slots + AIOM options.
PSUs: redundant 860W options (Titanium).
SYS-1029U-TN10RT — 1U Ultra (NVMe-optimized)
Form factor: 1U.
CPU: Dual-socket capable (Xeon Scalable family depending on board revision) — check SKU.
Memory: up to 24 DIMMs on some TN variants (visit spec page for exact SKU).
Storage: NVMe-optimized 10x 2.5″ bays (short-depth 1U ultra chassis).
Cooling: PWM fans, thermal monitoring
SYS-1029U-TN12RV — 1U Ultra (12-bay)
Form factor: 1U.
CPU: Dual-socket P (LGA-3647) — 2nd Gen Intel Xeon Scalable (Cascade Lake family on legacy SKUs).
Memory: 24 DIMM slots (up to multiple TB with 3DS), supports Optane DCPMM on applicable configs.
Storage: 12 hot-swap 2.5″ NVMe/SATA bays.
Expansion: internal PCIe slots for storage controllers.
2U Servers
SYS-2029U-TN24R4T — 2U Ultra (24x 2.5″)
Form factor: 2U.
CPU: Dual Intel Xeon Scalable (2nd Gen / later family per spec).
Memory: 24 DIMMs (supports up to multi-TB with 3DS).
Storage: 24 hot-swap 2.5″ NVMe/SAS/SATA. PCIe: multiple expansion slots (varies by riser).
Networking: flexible 10/25/100Gb options.
SYS-220U-TNR — 2U Ultra (high density / NVMe hybrid)
Form factor: 2U.
CPU: Dual Socket P+ (LGA-4189) — 3rd-Gen Intel Xeon Scalable.
Memory: up to 32 DIMMs (up to ~8 TB DDR4 depending on config) and Optane support.
Storage: up to 24x 2.5″ hybrid NVMe/SATA/SAS + 2 additional 2.5″ bay variants depending kit.
PCIe: multiple PCIe4 slots; GPU support up to 4 double-width or 6 single-width GPUs (depending config).
SYS-220GQ-TNAR+ — 2U GPU / HGX GPU platform
Form factor: 2U.
CPU: Dual Socket P+ (LGA-4189).
Memory: high-capacity DDR4 (32 DIMM support on some builds).
GPU: NVIDIA HGX A100 4-GPU HGX configuration (NVLink/NVSwitch capable) — designed for HGX A100 40/80GB.
Storage: front hot-swap drive bays (hybrid).
Power: high-wattage PSUs (3000W options).
4U Servers
SYS-4029GP-TRT — 4U dual-root GPU system
Form factor: 4U.
CPU: Dual Intel Xeon (various generations per SKU).
Memory: large memory capacity (depends on board); designed for GPU workloads.
GPU: up to 8 PCIe GPUs (single-root / dual-root variants exist).
Storage: NVMe / SAS / SATA front bay options. Power: multi-kW redundant PSUs.
SYS-7049GP-TRT — 4U GPU SuperWorkstation / Server
Form factor: 4U rack/tower convertible.
CPU: Dual Intel Xeon Scalable.
Memory: large (16 DIMMs+ depending on MB). GPU: multi-GPU workstation (supports multiple double-width GPUs).
Storage: mixed 3.5″ / 2.5″ bays depending configuration.
SYS-8049U-E1CR4T — 4U enterprise / quad-socket Ultra
Form factor: 4U.
CPU: up to 4× Intel Xeon (multi-socket) depending on family (quad-socket enterprise platform).
Memory: very large — e.g., 48 DIMM slots with multi-TB support (depends on generation).
PCIe: many expansion slots (10+ depending on MB).
Storage/PSU: enterprise redundant PSUs; aimed at mission-critical / virtualization / database workloads.
Frequently Asked Questions
1. What makes Supermicro servers ideal for AI and GPU workloads?
Supermicro servers are ideal for AI workloads because they support extreme GPU density, high-performance CPUs, NVLink/NVSwitch architecture, and enterprise-grade cooling that sustains heavy training loads. They are optimized for NVIDIA A100, H100, L40, and multi-GPU configurations used in deep learning, HPC, and data centers.
2. Which Supermicro server is best for deep learning model training?
The best Supermicro server for deep learning is the AS-4124GS-TNR because it supports up to 8 double-width GPUs, dual AMD EPYC processors, and high PCIe bandwidth, making it suitable for large-scale model training and multi-GPU compute clusters.
3. Do Supermicro servers support fully customized GPU and storage configurations?
Yes, Supermicro servers support complete customization, including CPU selection, GPU count, NVMe/SAS/SATA storage mix, memory expansion, networking upgrades, and power options. Users can configure systems for AI, data centers, virtualization, or storage-heavy workloads.
4. Which Supermicro models are suitable for edge computing and small IT environments?
SYS-E403-14B-FRN2T and SYS-111E-FWTR/WIO are best for edge computing because they offer short-depth chassis, front I/O, Intel Xeon processors, NVMe storage, PCIe 5.0 support, and low-power operation suitable for branch offices, IoT, and MEC workloads.
5. Why choose Vays Info Tech for Supermicro GPU server deployments in India?
Businesses choose Vays Infotech because we deliver genuine Supermicro hardware, custom sizing, installation, optimization, and 24/7 support across India, ensuring every AI, GPU, storage, or cloud server is configured for maximum performance and reliability.
