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Coverage Analysis Tool
GNATcoverage
GNATcoverage performs coverage analysis on both object code instruction and branch coverage and Ada and C language source code statement, decision and Modified Condition/Decision Coverage (MC/DC). Unlike most current technologies, the tool works without requiring instrumentation of the executable. Instead, it runs directly on an instrumented version of GNATemulator, a lightweight and efficient emulator tool. GNAT Pro add-on.
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Ada Development Environment
GNAT Pro
GNAT Pro is a robust and flexible Ada development environment. It comprises a full Ada compiler (Ada 83, Ada 95, and Ada 2005 features) based on the GNU GCC technology, an Integrated Development Environment (GNAT Programming Studio), a comprehensive toolsuite including a visual debugger, and a set of libraries and bindings.
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AI ANALYZER
Nanotronics uses artificial intelligence to give our customers’ unprecedented freedom and control for defect detection. We offer an AI based Anomaly Detection Algorithm (ADA) toolkit that automates the work of writing computer vision algorithms to detect and classify defects on bare substrate and epi wafers as well as on thin films, glass and any other material with a uniform background.
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Ada Embedded Software Test Solution
VectorCAST/Ada
An integrated software test solution that significantly reduces the time, effort, and cost associated with testing Ada software components necessary for validating safety- and mission-critical embedded systems. VectorCAST/Ada parses your source code and invokes code generators to automatically create the test code (stubs and drivers) required to construct a complete, executable test harness.
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RTOS Scheduling Visualization
RapiTask
*Examine Ada, C or C++ applications via scheduling visualization*Locate rare timing events that need attention*Identify bottlenecks in your application by analyzing capacity issues*Compare scheduling algorithms from different RTOSs
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Functional Testing For Critical Software
RapiTest
*Requirements-based testing for Ada, C & C++ on-host & target*Reduce test authoring effort through easy-to-use test formats*Manage project artifacts with requirements traceability*Simplify verification through integration with your CI tool*Produce evidence for DO-178 and ISO 26262 certification
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Low-overhead Coverage Analysis For Critical Software
RapiCover
* Collect coverage for Ada, C & C++ (inc. MC/DC) on-host & target* Reduce test builds needed for analysis on constrained targets* Save time with efficient merge and mark verification workflow* Simplify verification by integrating with your CI tool* Produce evidence for DO-178 and ISO 26262 certification
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In-depth Execution Time Analysis For Critical Software
RapiTime
*Timing analysis (inc. WCET) for Ada, C & C++ on-target & host**Identify code to optimize for worst-case behavior*Debug rare timing events*Simplify verification through integration with your CI tool*Produce evidence for DO-178 and ISO 26262 certification
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Ada Source Code Analyzer
CodePeer
CodePeer is an Ada source code analyzer that detects run-time and logic errors. It assesses potential bugs before program execution, serving as an automated peer reviewer, helping to find errors efficiently and early in the development life-cycle. It can also be used to perform impact analysis when introducing changes to the existing code, as well as helping vulnerability analysis. Using control-flow, data-flow, and other advanced static analysis techniques, CodePeer detects errors that would otherwise only be found through labor-intensive debugging.
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PCI Express Graphics Card With NVIDIA RTX 5000 Ada
NVIDIA RTX 5000 Ada
- NVIDIA Ada Lovelace Architecture- Full height, full length design- PCIe Gen4x16 interface- 32GB GDDR6 Memory, 256-bit Bandwidth- 12800 CUDA Cores, 65.3 TFLOPS SP Peak
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PCI Express Graphics Card With NVIDIA RTX 6000 Ada
NVIDIA RTX 6000 Ada
- NVIDIA Ada Lovelace Architecture- Full height, full length design- PCIe Gen4x16 interface- 48GB GDDR6 Memory, 384-bit Bandwidth- 18176 CUDA Cores, 91.1 TFLOPS SP Peak
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Embedded MXM GPU Module With NVIDIA RTX™ ADA 2000
EGX-MXM-AD2000
- NVIDIA Ada Lovelace Architecture- Standard MXM 3.1 Type A (82x70 mm)- PCIe Gen 4 x8 Interface- 3072 CUDA® Cores, 24 RT Cores, and 96 Tensor Cores- 14.5 TFLOPS peak FP32 performance
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PCI Express Graphics Card With NVIDIA RTX 4500 Ada
NVIDIA RTX 4500 Ada
- NVIDIA Ada Lovelace Architecture- Full height, full length design- PCIe Gen4x16 interface- 24GB GDDR6 Memory, 192-bit Bandwidth- 7680 CUDA Cores, 39.6 TFLOPS SP Peak
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Embedded MXM GPU Module With NVIDIA RTX™ ADA 5000
EGX-MXM-AD5000
- NVIDIA Ada Lovelace Architecture- Standard MXM 3.1 Type B (82x105 mm)- PCIe Gen4x16 interface- 9728 CUDA® Cores, 76 RT Cores, and 304 Tensor Cores- 42.6 TFLOPS peak FP32 performance- 16GB GDDR6 memory, 256-bit- 576GB/s maximal memory bandwidth- 5-year Availability
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Embedded MXM GPU Module With NVIDIA RTX™ ADA 3500
EGX-MXM-AD3500
- NVIDIA Ada Lovelace Architecture- Standard MXM 3.1 Type B (82x105 mm)- PCIe Gen 4 x16 Interface- 5120 CUDA® Cores, 40 RT Cores, and 160 Tensor Cores- 23 TFLOPS peak FP32 performance
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PCI Express Graphic Card NVIDIA RTX 4000E Ada
NVIDIA RTX 4000E Ada
- NVIDIA Ada Lovelace Architecture- 5-year Longevity Support- Full height, full length design- PCIe Gen4x16 interface- 20GB GDDR6 Memory, 160-bit Bandwidth- 6144 CUDA Cores, 26.7 TFLOPS SP Peak
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PCI Express Graphic Card With NVIDIA RTX 2000E Ada
NVIDIA RTX 2000E Ada
- NVIDIA Ada Lovelace Architecture- 5-year Longevity Support- Half height, half length design- PCIe Gen4x8 Interface- 16GB GDDR6 Memory, 128-bit Bandwidth- 2816 CUDA Cores, 12 TFLOPS SP Peak- 88 Tensor Cores, 191.9 TFLOPS- 4 x mDP (mini Display Port 1.4)
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PCI Express Graphics Cards With NVIDIA RTX 4000 SFF Ada
NVIDIA RTX 4000 SFF Ada
- NVIDIA Ada Lovelace Architecture- Half height, half length design- PCIe Gen4x16 interface- 20GB GDDR6 Memory, 160-bit Bandwidth- 6144 CUDA Cores, 19.2 TFLOPS SP Peak- 192 Tensor Cores, 106.8 TFLOPS- 4 x mDP (mini Display Port 1.4), 1 x USB-C
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PCI Express Graphics Card With NVIDIA RTX 2000 Ada
NVIDIA RTX 2000 Ada
- NVIDIA Ada Lovelace Architecture- Half height, half length design- PCIe Gen4x8 interface- 16GB GDDR6 Memory, 128-bit Bandwidth- 2816 CUDA Cores, 12 TFLOPS SP Peak- 88 Tensor Cores, 191.9 TFLOPS- 4 x mDP (mini Display Port 1.4), 1 x USB-C
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Autonomous Driving AI Decision Making ECU
ADM-AL30
ADM-AL30 is dedicated to Autonomous Driving Applications. Powered by Intel® 12th Gen Core i9/i7 CPU and the NVIDIA RTX 4000 SFF Ada GPU, this AI computing platform can process huge amounts of data and make crucial decisions for autonomous vehicles. Equipped with 2 x 10G Base-T and 8 x 1G Base-T1 automotive ethernet ports, as well as 8 x CAN FD and 4 x CAN 2.0 interfaces, it seamlessly integrates into any automotive ecosystem. Plus, its ISO 16750-2 and ISO 7637-2 ensure reliability and safety under the most demanding conditions.
