IBM Video Cards / GPU Modules in Bangladesh — Enterprise Graphics & Acceleration Solutions

IBM Video Cards and GPU Modules are high‑performance graphics and compute acceleration components designed for IBM and Lenovo enterprise servers. These GPUs support AI workloads, virtualization, 3D rendering, VDI environments, and high‑performance computing (HPC) applications in data center environments.

At Datacom Technologies BD, we supply genuine IBM server GPU modules and video cards, fully compatibility‑verified for IBM System x, IBM Power Systems, IBM BladeCenter, and Lenovo ThinkSystem servers — backed by expert support and local service in Bangladesh.

Buy IBM GPU Modules in Bangladesh at Best Price

We offer authentic IBM server GPUs with:

• Verified compatibility with IBM & Lenovo servers

• Support for AI, VDI, CAD, and virtualization

• Genuine FRU part numbers

• Competitive pricing in BDT

• Local warranty & after‑sales support

• Contact us for real‑time stock and updated pricing.

Who Uses IBM GPU Modules in Bangladesh (BD)?

These GPU modules are widely used by:

• Enterprise IT infrastructure teams

• Data centers & cloud providers

• Banks and financial institutions

• Government organizations

• AI & research institutions

• Telecom & ISP server operations

They are essential for GPU‑accelerated computing and graphics processing.

Popular IBM Video Cards / GPU Modules Models, Part Numbers & Server Compatibility at Datacom

IBM Video Cards & GPU Modules — Models, Part Numbers & Compatibility

IBM 2826 GXT4000P Graphics Adapter

• Model / Part Number(s): 2826 / 2826-701x / 00P2429 / 09P2393 / 09P2429

• Description: PCI graphics adapter with GXT4000P GPU — used for basic display output in servers needing a dedicated video card (e.g., remote KVM/console purposes).

• Compatibility: Fits servers with a standard PCI slot (PCI/PCI-X), commonly installed in older IBM rack/tower systems and industrial servers that require an add-in video card; can be used wherever a PCI video card is needed and supported by BIOS.

• Use Case: Provides display output for systems without onboard video or upgraded graphics for legacy applications.

IBM BladeCenter GPU Expansion Blade – Tesla M2070

• Model / Part Number: 46M6740*

• Description: GPU expansion blade housing a NVIDIA Tesla M2070 accelerator — used to add GPU compute capability to an IBM BladeCenter blade server environment.

• Compatibility: Attaches via CFFh expansion slot on blade servers such as HS21/HS22/HS23 installed inside BladeCenter H or HT chassis.

IBM BladeCenter GPU Expansion Blade – Tesla M2070Q

• Model / Part Number: 46M6772

• Description: Same as above but equipped with NVIDIA Tesla M2070Q (quad-precision) accelerator.

• Compatibility: BladeCenter environment (HS22/HS23) supporting GPU Expansion Blades — requires CFFh expansion connectivity.

IBM BladeCenter GPU Expansion Blade – Tesla M2075

• Model / Part Number: 46M6771

• Description: GPU expansion blade with NVIDIA Tesla M2075 (higher compute variant).

• Compatibility: IBM BladeCenter H / HT servers with blade slots and CFFh expansion interface.

IBM BladeCenter GPU Expansion Blade II – Tesla M2070Q

• Model / Part Number: 68Y7479

• Description: Updated GPU Expansion Blade II with Tesla M2070Q onboard.

• Compatibility: Compatible with same IBM BladeCenter H / HT chassis supporting Expansion Blade II units.

IBM BladeCenter GPU Expansion Blade II – Tesla M2075

• Model / Part Number: 68Y7478

• Description: Blade with NVIDIA Tesla M2075 accelerator, newer revision of the original GPU Expansion Blade.

• Compatibility: For use in BladeCenter H/HT enclosures with blade slots and high wattage PSU options.

IBM BladeCenter GPU Expansion Blade II – Tesla M2090

• Model / Part Number: 00D6881

• Description: High-end accelerator blade incorporating NVIDIA Tesla M2090 — heavier compute capability than earlier models.

• Compatibility: Uses CFFh slot on blade servers in IBM BladeCenter H or BladeCenter HT chassis.

Notes on Compatibility & Use

BladeCenter GPU Modules

• The IBM BladeCenter GPU Expansion Blades are double-width modules that install across blade units using the CFFh PCIe expansion connector on blade server nodes (e.g., HS22/HS23). This allows the GPU to sit atop a compute blade and accelerate workloads instead of acting as a traditional PCI card.

• These expansions are specific to the IBM BladeCenter H/HT series chassis and cannot just plug into generic x86 rack servers — they require blade architecture and expansion infrastructure.

Standard Video Cards

• Cards like the IBM 2826 GXT4000P are regular PCI video adapters used for basic graphics output in older servers and do not provide GPU compute acceleration like Tesla modules — they’re primarily for display interfaces.

Modern GPU Compatibility

• In modern IBM Power Systems (e.g., POWER8/POWER9 class servers), GPUs such as NVIDIA Tesla V100 can be fitted for HPC and AI tasks — these are not IBM OEM cards with specific IBM part numbers but OEM-supported accelerators in properly provisioned configurations (e.g., Power AC922 supports multiple NVIDIA V100-class accelerators).

Quick Compatibility Summary

Additional Context

• BladeCenter servers used a unique expansion form factor (CFFh) for GPUs, enabling stacking multiple GPU modules; this is different from PCIe video cards.

• Basic server video cards like the GXT4000P were often included in service parts listings for older systems where onboard video was minimal or absent.

• Modern IBM Power and x86 servers may support contemporary PCIe GPU accelerators (e.g., NVIDIA Tesla V100/A100, NVIDIA RTX/Ampere GPUs), but those are typically standard manufacturer part numbers rather than IBM-specific parts — always match server firmware and PCIe power/slot specs when installing.

Latest IBM GPU / Video Card Price in Bangladesh (2025 / 2026)

Pricing depends on:

• GPU model and memory size

• PCIe generation

• Server compatibility

• New vs refurbished condition

IBM GPU Price Table (Estimated — BDT)

• Contact Datacom Technologies BD for accurate pricing.

What Are IBM Video Cards / GPU Modules?

IBM server GPUs:

• Provide hardware graphics acceleration

• Support AI, machine learning, and analytics

• Enable GPU virtualization (vGPU)

• Improve performance for CAD and rendering

• Enhance VDI (Virtual Desktop Infrastructure)

They are critical for compute‑intensive enterprise workloads.

Types of IBM GPU Modules

PCIe GPU Cards

• Installed in server PCIe slots

• Used for AI, rendering, and virtualization

Mezzanine GPU Modules

• Designed for blade servers

• Compact high‑density configuration

VDI‑Optimized GPUs

• Support multiple virtual desktops

• Ideal for enterprise remote environments

Key Benefits of Genuine IBM GPU Modules

• Accelerated AI and data processing

• Improved virtualization performance

• Enterprise‑grade reliability

• Optimized firmware compatibility

• Scalable compute performance

Compatibility & Buying Guide

Before purchasing:

✔ Confirm your exact IBM or Lenovo server model
✔ Verify PCIe slot availability and power capacity
✔ Check GPU thermal requirements
✔ Match FRU part number
✔ Confirm PSU compatibility

Our technical team verifies compatibility before shipment.

Warranty & After‑Sales Support

Datacom Technologies BD provides:

• Compatibility verification

• Installation guidance

• GPU configuration support

• Local warranty (where applicable)

• Remote & on‑site technical assistance

Frequently Asked Questions (FAQ)

Can I install any GPU in IBM servers?
No — only server‑compatible GPUs with proper power and cooling support should be used.

Do IBM servers support AI workloads?
Yes — with compatible GPU modules, they can support AI, ML, and HPC applications.

Are these genuine IBM GPU modules?
Yes — all GPUs are authenticity‑verified and compatibility‑checked.

Where to Buy IBM Video Cards / GPU Modules in Bangladesh

Datacom Technologies BD is a trusted supplier of IBM server GPU modules, video cards, and enterprise acceleration hardware across Bangladesh.



Order IBM Video Cards / GPU Modules in Bangladesh

•  Call / WhatsApp: 01748‑173213 | 01313‑886347
•  Email: sales@datacom.com.bd | datacomtechnologiesbd@gmail.com