| Video Memory Specifications | ||
| Size | 32GB | |
| Type | GDDR6 | |
| Resolution | 7680 x 4320@60Hz (DP2.1) | |
| BUS Type | PCI Express 5.0 | |
| Memory Interface | 256bit | |
| Memory Clock | 2600MHz | |
| Others | AI TOPS: 367 TOPS Xe Cores: 32 Memory Bandwidth: 608 GB/s Memory Speed:19 Gbps GPU Slots Required : 2 |
|
| Interface | ||
| Display Port | 3 x DisplayPort 2.1 | |
| HDMI | 1 x HDMI 2.1 | |
| Power Specifications | ||
| Connectors | 2 x 8pin | |
| Recommended PSU | 290W | |
| Application Programming Interfaces | ||
| DirectX | DirectX 12 | |
| OpenGL | 4.6 | |
| Physical Specifications | ||
| Dimensions | 267 × 111 × 27.2 mm | |
| Warranty | ||
| Manufacturing Warranty | 3 years (Keep the box for Warranty) | |
The GUNNIR Intel Arc Pro B70 TF 32GB GDDR6 Workstation Graphics Card is a high-performance professional GPU built for the growing demands of AI inference, 3D visualization, rendering, content creation and advanced workstation computing. Powered by Intel Xe2 architecture, the B70 combines 32GB GDDR6 memory, 32 Xe2 cores, 256 XMX AI engines, 32 ray tracing units and up to 367 AI TOPS with 608GB/s memory bandwidth. Intel positions the Arc Pro B70 as a workstation GPU for demanding AI and professional workloads, including scalable multi-GPU deployments.
For professionals searching for a 32GB AI graphics card in Bangladesh, the GUNNIR Arc Pro B70 TF offers an unusually strong combination of VRAM capacity, AI acceleration and professional connectivity. Its PCIe 5.0 interface, 256-bit memory bus and modern DisplayPort 2.1 and HDMI 2.1 outputs make it an excellent foundation for a high-end AI workstation, creative workstation or professional visualization PC.
The defining advantage of the Intel Arc Pro B70 32GB is its focus on memory-heavy professional and AI workloads. With 32GB of dedicated GDDR6 memory and 608GB/s of memory bandwidth, the GPU provides substantial room for large AI models, complex 3D scenes, high-resolution media projects and other applications that can quickly consume graphics memory.
Unlike a conventional gaming graphics card, the Arc Pro B70 is designed around professional computing requirements. Intel highlights its 32 Xe2 cores, 32 ray tracing units, 256 XMX engines and support for scalable multi-GPU AI configurations.
The 32GB GDDR6 VRAM is one of the strongest reasons to consider the GUNNIR Arc Pro B70 TF. Large GPU memory can help professionals work with larger models, complex scenes and demanding datasets without hitting VRAM limitations as quickly.
For AI developers, memory capacity is particularly important because GPU memory needs to accommodate model weights as well as working data and, in some workloads, KV cache. Intel's B-Series positioning specifically emphasizes AI inference and the ability to combine VRAM and compute across multiple GPUs.
Intel specifies 32GB GDDR6 with ECC support for the Arc Pro B70. Error Correcting Code memory can help detect and correct certain memory errors, making ECC an important consideration for professional systems where data integrity and sustained workloads matter.
The GUNNIR Intel Arc Pro B70 TF delivers up to 367 INT8 TOPS and features 32 Xe2 cores backed by 256 XMX AI engines. Intel's XMX architecture is designed to accelerate matrix operations used by AI workloads, making the B70 particularly relevant for local AI inference and AI-assisted professional applications.
For users asking, "Is the Intel Arc Pro B70 good for AI?", the short answer is yes: it is explicitly positioned by Intel as a high-performance workstation GPU engineered for demanding AI inference and professional workloads. Actual application performance will still depend on the software, drivers, model, precision, workload and system configuration.
The B70 is especially interesting for users who want to run AI workloads locally rather than relying entirely on cloud infrastructure. Intel also highlights Linux multi-GPU support, allowing compatible configurations to combine GPU memory and compute for AI models requiring more than the capacity of a single card.
This makes the B70 relevant to AI developers, research teams, studios, businesses and advanced PC builders creating scalable local AI systems.
The Intel Arc Pro B70 32GB graphics card uses a 256-bit memory interface and delivers up to 608GB/s memory bandwidth. High memory bandwidth helps the GPU move large amounts of data between its processing resources and VRAM efficiently, which is particularly valuable for data-intensive graphics and compute workloads.
For professional users, the combination of 32GB VRAM + 256-bit memory interface + 608GB/s bandwidth provides considerably more memory headroom than mainstream GPUs designed primarily around conventional desktop workloads.
The Intel Arc Pro B70 supports PCI Express 5.0 x16, giving it a modern high-bandwidth connection to compatible workstation platforms. Intel's official specifications identify Gen 5 PCIe x16 support for the B70.
When building a new workstation, pairing this GPU with a compatible PCIe 5.0 motherboard and a capable processor can help create a balanced platform for AI, rendering, visualization and content creation. Users upgrading an existing PC should verify motherboard support, slot configuration and BIOS compatibility before purchase.
The GUNNIR Arc Pro B70 TF provides 3 × DisplayPort 2.1 and 1 × HDMI 2.1 according to the supplied GUNNIR product specifications. The card supports high-resolution professional display environments, while Intel's B70 specifications support up to 7680 × 4320 resolution and up to four displays.
This makes the B70 well suited to multi-monitor workstation setups used by designers, developers, editors, architects and financial or engineering professionals who need several applications visible at once.
Modern workstation users often need more than raw GPU compute. Intel's Arc Pro B70 supports hardware acceleration for AV1, HEVC, H.264 and VP9 encode and decode workloads, making the platform relevant to professional video production, streaming, media processing and content creation.
For video professionals, this can help reduce reliance on CPU-only processing for supported media workflows and provide a more capable hardware foundation for editing and export applications.
The B70's 32GB VRAM and 367 INT8 TOPS make it particularly attractive for AI developers who need a high-memory workstation GPU. It can be considered for local model inference, AI experimentation, generative AI applications and other supported accelerated workloads.
With 32 Xe2 cores and 32 dedicated ray tracing units, the B70 provides hardware designed for modern 3D workloads. Architects, engineers, designers and visualization professionals can use a GPU in this class for demanding scenes, real-time visualization and supported ray-traced applications.
The combination of large VRAM capacity and hardware video encode/decode support makes the B70 a compelling option for demanding media workflows. It can be particularly useful when working with high-resolution footage, complex timelines and supported modern codecs.
For universities, laboratories, developers and businesses building private AI infrastructure, a 32GB workstation GPU can provide useful local compute and memory capacity. Multi-GPU scalability further expands the possibilities for compatible AI deployments.
With four-display support at the platform level and modern DisplayPort 2.1 connectivity, the B70 is suitable for workstation users who need multiple high-resolution displays for design, development, monitoring or productivity.
| Specification | Details |
|---|---|
| Product Name | GUNNIR Intel Arc Pro B70 TF 32GB GDDR6 Workstation Graphics Card |
| GPU Architecture | Intel Xe2 |
| GPU | Intel Arc Pro B70 |
| Dedicated Memory | 32GB GDDR6 |
| Memory Interface | 256-bit |
| Memory Speed | 19 Gbps |
| Memory Clock | 2600MHz |
| Memory Bandwidth | 608GB/s |
| Xe Cores | 32 |
| AI Performance | 367 TOPS |
| PCI Express | PCI Express 5.0 |
| DisplayPort | 3 × DisplayPort 2.1 |
| HDMI | 1 × HDMI 2.1 |
| Maximum Resolution | 7680 × 4320 @ 60Hz via DP 2.1 |
| GPU Slots Required | 2 |
| Power Connectors | 2 × 8-pin |
| Recommended PSU | 290W |
| DirectX | DirectX 12 |
| OpenGL | 4.6 |
| Dimensions | 267 × 111 × 27.2mm |
Specification note: Intel's reference B70 specifications list 32GB GDDR6, 256-bit memory, 608GB/s bandwidth, 32 Xe2 cores, 256 XMX engines, 32 ray tracing units and a 160W–290W total-board-power range depending on implementation. Partner-board specifications can differ, so the GUNNIR-specific dimensions, connectors, clock and PSU information above should be used for this particular model.
If you are comparing the GUNNIR Intel Arc Pro B70 32GB with an Arc Pro B60 24GB, the B70 is the higher-performance option. Intel specifies 32 Xe2 cores and 367 peak INT8 TOPS for the B70, compared with 20 Xe2 cores and 197 peak INT8 TOPS for the B60. The B70 also provides 608GB/s bandwidth versus 456GB/s on the B60.
| Feature | Arc Pro B70 | Arc Pro B60 |
|---|---|---|
| VRAM | 32GB GDDR6 | 24GB GDDR6 |
| Xe Cores | 32 | 20 |
| AI TOPS | 367 | 197 |
| Memory Bandwidth | 608GB/s | 456GB/s |
| Memory Interface | 256-bit | 192-bit |
| Best Fit | Demanding AI and professional workloads | AI and professional workloads with lower memory/compute requirements |
Choose the B70 when your workloads justify additional VRAM, compute resources and bandwidth. The B60 can make more sense when your applications do not need the B70's additional capacity and performance. This workload-first approach is more useful than choosing a GPU based solely on model number or marketing specifications.
Yes, the Intel Arc Pro B70 is specifically designed for demanding AI inference and professional workloads. It combines 32GB VRAM, 32 Xe2 cores, 256 XMX AI engines, 367 INT8 TOPS and 608GB/s memory bandwidth. Intel also supports scalable multi-GPU AI configurations and Linux-based multi-GPU workflows for compatible deployments.
However, buyers should always verify framework, application and driver compatibility for their specific AI models. AI performance is not determined by TOPS alone; memory capacity, precision, software optimization, model architecture and system configuration all influence real-world results.
The GUNNIR Intel Arc Pro B70 TF 32GB is a strong fit if your priority is professional AI, GPU compute, visualization, rendering or content creation and you need a large pool of dedicated VRAM.
It is especially worth considering for AI developers running larger models locally, professional creators handling high-resolution assets, engineers and architects working with complex 3D environments, organizations developing private AI workstations, and businesses that want a scalable multi-GPU platform.
Before buying, check your motherboard's PCIe configuration, case clearance, available expansion slots, power supply capacity and the compatibility of your intended applications with Intel Arc Pro drivers and software frameworks.
The supplied GUNNIR specification lists 2 × 8-pin power connectors and a 290W recommended PSU. Because the power requirement of the complete workstation includes the CPU, storage, cooling and other components, the system should be paired with a quality PSU with sufficient capacity and appropriate PCIe power connectors.
The card is listed at 267 × 111 × 27.2mm and requires two GPU slots according to the supplied specifications. Always check the actual chassis clearance and neighboring PCIe-slot availability before installation.
If you are looking to buy GUNNIR Intel Arc Pro B70 TF 32GB in Bangladesh, Potaka IT is a destination for graphics cards, workstation hardware and PC components. This GPU is particularly relevant to customers building AI workstations in Bangladesh, professional rendering PCs, content-creation systems and high-memory GPU compute machines.
Explore AI Workstations for workstation-focused hardware, browse Graphics Cards for alternative GPU solutions, or visit the GUNNIR Graphics Cards category for more products from the same brand.
Choosing a professional graphics card is about more than comparing VRAM numbers. Your motherboard, processor, power supply, chassis, operating system and applications all influence the final workstation experience. Potaka IT helps customers explore the wider hardware ecosystem needed to build a suitable system.
Browse PC Components, explore the GUNNIR collection, or visit Potaka IT to discover additional hardware for your next professional PC or AI workstation.
The GUNNIR Intel Arc Pro B70 TF 32GB is designed for AI inference, professional visualization, 3D workloads, rendering, video production and other demanding workstation applications. Intel positions the B70 as a high-performance workstation GPU for AI and professional compute.
The Intel Arc Pro B70 has 32GB of GDDR6 dedicated graphics memory with a 256-bit memory interface and 608GB/s memory bandwidth. Intel also specifies ECC support for the B70.
The Arc Pro B70 provides up to 367 INT8 TOPS of peak AI throughput using XMX acceleration. It has 256 XMX AI engines.
The Intel Arc Pro B70 features 32 Xe2 cores and 32 ray tracing units.
Yes. Intel specifies PCI Express 5.0 x16 for the Arc Pro B70.
Yes. Intel specifies support for resolutions up to 7680 × 4320, with support for up to four displays. The supplied GUNNIR specification lists three DisplayPort 2.1 outputs and one HDMI 2.1 output.
Yes. The B70 is a workstation-oriented GPU with large VRAM capacity, AI acceleration, ray tracing hardware, professional software support and multi-GPU scalability. Intel specifically describes the Arc Pro B70 as a high-performance workstation GPU for demanding AI inference and professional workloads.
Yes. Its 32GB VRAM, 256 XMX engines and 367 INT8 TOPS make it suitable for supported local AI inference workloads. Intel also highlights Linux multi-GPU configurations for AI workloads that can benefit from combined GPU memory and compute.
Yes. Intel lists ECC support for the B70's 32GB GDDR6 memory. ECC can be valuable in professional environments where memory-error detection and correction are important considerations.
The supplied GUNNIR specification lists a 290W recommended PSU and two 8-pin power connectors. Intel's reference documentation states that B70 total board power varies by implementation, so the complete system should be evaluated when selecting the PSU.
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