NVIDIA Professional GPU: Ampere to Blackwell


Wondering whether to upgrade from Ampere? This Ampere vs Ada vs Blackwell guide compares three generations of NVIDIA professional GPUs, highlighting the differences in architecture, performance and workload suitability to help you choose the right replacement.

Ampere vs Ada vs Blackwell

Compare three generations of NVIDIA professional GPUs in one place. Ampere launched in 2021, Ada Lovelace followed in 2022, and Blackwell is available today. Across these generations, the biggest advances include PCIe connectivity, memory bandwidth, Tensor cores and rendering performance, helping professionals tackle increasingly demanding workloads.

Ampere

Launched 2021

Ada Lovelace

Launched 2022

Blackwell

Launched 2025

Process
Samsung 8 nm
TSMC 4N
TSMC 4NP
PCIe
Gen 4.0
Gen 4.0
Gen 5.0
Memory
GDDR6 + ECC
GDDR6 + ECC
GDDR7 + ECC
Tensor cores
3rd gen
4th gen
5th gen
RT cores
2nd gen
3rd gen
4th gen
Flagship VRAM
48 GB
48 GB
96 GB
Peak bandwidth
768 GB/s
960 GB/s
1,792 GB/s

Compare every NVIDIA Professional GPU

Explore every current GPU across the Ampere, Ada and Blackwell generations, from entry-level low-profile models through to flagship cards. In addition, the Blackwell flagship is available in three cooling variants—Workstation, Max-Q and Server—all featuring the same underlying GPU architecture but optimised for different deployment environments.

CUDA Cores RT Cores VRAM Bandwidth NVENC TDP Form Factor
Flagship
RTX A6000 10,752 84 48 GB 768 GB/s 1x 300 W Dual-slot
RTX 6000 Ada 18,176 142 48 GB 960 GB/s 2x 250 W Dual-slot
RTX PRO 6000 Blackwell Workstation 24,064 188 96 GB 1,792 GB/s 3x 600 W Dual-slot open-air
RTX PRO 6000 Blackwell Max-Q 24,064 188 96 GB 1,792 GB/s 3x 300 W Dual-slot blower
RTX PRO 6000 Blackwell Server 24,064 188 96 GB 1,792 GB/s 3x 600 W Passive
Upper-Mid
RTX A5000 8,192 64 24 GB 768 GB/s 1x 230 W Dual-slot
RTX 5000 Ada 12,800 100 32 GB 576 GB/s 2x 250 W Dual-slot
RTX PRO 5000 Blackwell 14,080 110 48 GB 1,344 GB/s 2x 300 W Dual-slot
Mid
RTX A4000 6,144 48 16 GB 488 GB/s 1x 140 W Single-slot
RTX 4000 Ada 6,144 48 20 GB 360 GB/s 1x 130 W Single-slot
RTX PRO 4000 Blackwell 8,960 70 24 GB 672 GB/s 1x 140 W Single-slot
RTX PRO 4000 Blackwell SFF 8,960 70 24 GB 432 GB/s 1x 70 W LP dual-slot
Entry Pro
RTX A2000 3,328 26 12 GB 288 GB/s 1x 70 W LP dual-slot
RTX 2000 Ada 2,816 22 16 GB 224 GB/s 1x 70 W LP dual-slot
RTX PRO 2000 Blackwell 4,608 36 16 GB 320 GB/s 1x 70 W LP dual-slot
Low Profile
RTX A1000 2,304 18 8 GB 192 GB/s 1x 50 W LP single-slot
RTX 2000E Ada 2,816 22 16 GB 224 GB/s 1x 50 W LP single-slot
RTX PRO 2000 Blackwell SFF 3,584 28 12 GB 320 GB/s 1x 70 W LP single-slot

How different workloads use your GPU

Rendering software

Offline render, viewport, simulation

Creative, viz, and post-production work. Bound by the number and speed of CUDA cores, RT-core generation for ray tracing, and VRAM capacity for scene fit.

 

  • CUDA cores + clocks
  • RT-core generation
  • VRAM capacity, scene fit
Local AI system

Local LLM, computer vision, edge compute

Model fit is the first constraint — the model has to load into VRAM. After that, it is memory bandwidth that determines tokens per second, and Tensor core throughput at low precision (FP8, FP4) that drives theoretical peaks.

  • Tensor cores, FP8 / FP4
  • VRAM capacity, model fit
  • Memory bandwidth, tokens/s
AV Broadcast setup

Multi-channel encode, transcode, playout

What counts here is dedicated NVENC and NVDEC silicon — not CUDA cores. Engine count sets the channel ceiling, AV1 support determines whether streams can leave the building efficiently, and 4:2:2 support matters the moment professional camera formats are involved.

  • NVENC / NVDEC engine count
  • AV1 encode + 4:2:2 decode
  • Memory bandwidth
Flagship – Blender GPU Render Throughput – A6000 = 1.00x
RTX A6000 Ampere · 2021
1.00x
RTX 6000 Ada Ada · 2022
~2x
RTX PRO 6000 Blackwell Blackwell · 2025
~3x
Mid Tier – Blender GPU Render Throughput – RTX 4000 Ada = 1.00x
RTX A4000 Ampere · 2021
~0.97x
RTX 4000 Ada Ada · 2022
1.00x
RTX PRO 4000 Blackwell Blackwell · 140 W single-slot
+40%
Source: Puget Systems 2025 professional GPU testing. The RTX PRO 6000 Blackwell Max-Q at a matched 300 W TDP beats the RTX 6000 Ada by 30–50%, same power envelope, one architecture ahead.

Rendering performance comparison

Blender GPU rendering provides one of the clearest ways to compare performance across GPU generations. At the flagship level, three generations of architectural improvements deliver up to three times the rendering performance. Likewise, at the mid-range, Blackwell provides around a 40% improvement over Ada while maintaining the same power envelope and form factor.

AI Performance across GPU generations

For local AI inference, performance depends on three key factors: the model must first fit into VRAM, memory bandwidth determines how quickly data can be processed, and Tensor core throughput sets the theoretical performance ceiling. As a result, Blackwell delivers improvements across each of these areas, making it well suited to modern AI workloads.

Flagship – Memory Bandwidth GB/s
RTX A6000 Ampere · 2021
768
RTX 6000 Ada Ada · 2022
960
RTX PRO 6000 Blackwell Blackwell · 2025
1792
Flagship – Inference Throughput – A6000 FP16/INT8 = 1.00x
RTX A6000 FP16/INT8
1.00x
RTX 6000 Ada + FP8
~2x
RTX PRO 6000 Blackwell + FP4
up to ~5x
NVIDIA peak figures at native low precision. Real tokens/s depends on model, batch size, quantisation, and KV-cache. At matched precision, the architecture gain is approximately +37%. The jump from 48 GB to 96 GB VRAM means a 70B-class model in 4-bit fits on a single Blackwell card rather than splitting across two or offloading to system RAM.

Video encoding comparison: Ampere vs Ada vs Blackwell

CapabilityAmpereAda LovelaceBlackwell
NVENC generation7th gen8th gen9th gen
NVDEC generation5th gen5th gen6th gen
AV1 encodeNoYesYes – UHQ
4:2:2 10-bit hardware decodeNoNoNo
NVENC engines, flagship1x2x3x

For multi-channel ingest, playout, and transcode, the relevant silicon is NVENC and NVDEC — not CUDA cores. Engine count sets the channel ceiling. Format support determines whether the pipeline runs in hardware or falls back to CPU.

4:2:2 10-bit is the chroma format broadcast cameras, ProRes, and most professional codecs record in. On Ampere and Ada that decode work falls to the CPU — on Blackwell it runs in dedicated silicon. AV1 encode roughly halves the bitrate of H.264 at equivalent quality, which matters as soon as streams leave the building. Three NVENC engines on the PRO 6000 Blackwell lets one card replace what previously needed a row of transcode hardware.

Which Blackwell GPU should you upgrade to?

Because each new GPU generation pushes performance further up the product stack, replacing an Ampere card with its direct successor often results in more performance than many users actually need. Instead, the best Blackwell upgrade is frequently one tier below the equivalent Ampere model, delivering similar or greater performance while improving efficiency, memory bandwidth and overall value.

RTX A6000
Ampere flagship – 300 W – 48GB – 768 GB/s – Dual-slot
If you only need to match performance and stay within 300 W, step down one tier.
RTX PRO 5000 Blackwell
Upper-mid – 300 W – 48 GB – 1,344 GB/s – Dual-slot
Same slot, same power, more cores and +75% bandwidth. Step up to the PRO 6000 only if 96 GB VRAM or maximum render throughput is required.
RTX A5000
Upper-mid – 230 W – 24 GB – 768 GB/s – Dual-slot
RTX PRO 4000 Blackwell
Mid – 140 W – 24 GB – 672 GB/s – Single-slot
Matches on cores and VRAM, drops from 230 W to 140 W, and moves from dual- to single-slot.
RTX A4000
Mid – 140 W – 16 GB – 448 GB/s – Single-slot
RTX PRO 4000 Blackwell
Mid – 140 W – 24 GB – 672 GB/s – Single-slot
Same power envelope, same form factor, more cores, +8 GB, +50% bandwidth.
RTX A2000
Entry pro – 70 W – 12 GB – 288 GB/s – LP dual-slot
RTX PRO 2000 Blackwell
Entry pro – 70 W – 16 GB – 320 GB/s – LP dual-slot
Identical power and slot. More cores, +4 GB, AV1 encode and 4:2:2 decode added.

RTX PRO 6000 Blackwell: Workstation vs Max-Q vs Server

The three RTX PRO 6000 Blackwell editions — Workstation, Max-Q, and Server — run identical silicon: 24,064 CUDA cores, 96 GB GDDR7, 1,792 GB/s. They differ only in power envelope and cooling.

The Max-Q caps at 300 W — half the Workstation Edition — and gives up approximately 10–12% in mixed creative workloads. That is close to 1.8× the performance-per-watt. For builds running two to four GPUs on a single PSU, the Max-Q is the variant that makes the density possible. The Server Edition is passively cooled and depends on chassis airflow for rack deployment.

Source: Puget Systems Max-Q vs Workstation comparison, Jul 2025.

Performance VS. TDP
Workstation Edition 600 W – Open-air dual fan
Max Throughput
Max-Q 300W – Blower
-10 to -12%
Server Edition Passive – Chassis airflow
Rack Deploy

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